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you know the office has grown over time.and some people look at MTO and they say.I barely recognize it.we went from a Micro Devices office to a.Microsystems office right Microsystems.has been in the name forever but we were.really physicists doing physics work and.now we've expanded where the physicists.are being paired with people who are.looking at the bigger picture of what a.micro system is and that includes a lot.of the computation work you know as.egipto into IXO which kind of you know.disbanded into lots of small bits and.pieces and across the different offices.in Tio's portion of that was the.hardware portion computation and that is.a growing portion of our portfolio.obviously is recognized by by Eri and as.an RF guy what I recognize right is good.of antenna design as I could do and the.filter designs I could do right the.actual advancements were being pasted by.the digital advancements in the back.right and so I quickly realized I needed.to learn as much as I can even though.I'm more comfortable talking about waves.than I am bits it was something that I.recognized you need to actually adopt.those techniques so what you're going to.see today is Eri which is about.computation but computation particularly.close to where our sensors reside so.you're gonna see people kind of bounce.back and forth between this line so.we're gonna hear someone like YK & YK.Chen I was gonna kick this off and he.led an RF and optics group right but.he's also going to talk about what he.wants to do in terms of an embedded.processing and next generation process.eg here Paul Tillman is really leading.the RF intersection of RF machine.learning so we're on that line you know.which side of this does it really reside.we don't know we don't really care right.so we had to try to make a boundary so.we knew who was gonna be in each session.what you're gonna hear kind of a mix of.sensor development right.and computation development but we also.then have some hardcore computer.engineers and computer scientists.that'll be speaking with you as well so.between the physical world where wars.are fought air land sea and space you.heard a lot about that you know in the.in the plenary sessions and how that's.changing and then you also heard I to.Lowe's description of cyber right is.where MTO wants to reside which is that.line where we gracefully pull.information in from the physical domain.put it into the digital domain how we.sort it out and then disseminate it back.out and so it's the intersection of the.spectrum and how computation is done on.those bed information and how that then.gets distributed that is what is.interesting today so spectrum sensors.and electronics they're separate thrusts.but they're all obviously on top of each.other and that is gonna be reflected in.what you hear today were you're gonna.get a mix of all of that so I'm gonna.get off stage so that you can hear from.the people that really matter they're.the ones that have the ideas where.bottoms up organization I veto ideas I.don't create them we want to put the the.task of idea generation in the community.the pm's representing the opportunity.from the community and us just putting.light organization so the community can.reach its full potential we're not a.top-down organization.we're definitely bottoms up so why Kate.Chen will start us off YK very lucky to.have him he's a National Academy member.he's National Academy member in the.United States he's a national mcaddy.member in Taiwan he is recognized for.his work in integrated optics optical.systems millimeter wave systems we hired.YK to be a jack-of-all-trades we knew.his background covered many many.different things that we have and you.need that in an office so the number of.times someone comes to my office I got a.new idea who do I talk to him like you.could always talk to YK yes I'm he's got.a breath that is dazzling so YK.thank you yes thanks Bo and Monica they.call me after like about this time last.year it's a lot of cool stuff like the.ER I will be doing the empty oh so so.I'd retire from Bella and join you more.cool stuff here so packing burlap.yeah I was working on some the pointer.pointing radio and 410 Chicopee 440 and.upcoming Phi G and I was also doing the.fiber optics transmission 400 chickabee.to 800 gigabit we're left with coherent.technology and silicon photonics etc so.since I joined AHA let's try to find.something relevant for the warfighter.and we all say hey can we do how can we.use the ultra wideband and to help the.communication and computation for the.DoD environment so as you can see I've.been working on some of the.point-to-point radios to cover expand.away up to ebed 90 gigahertz for the.company so because of our base stations.backhoe scattered around the war in each.country I see some FCC so they've got.multiple bands so we developed very wide.band.ASIC to cover three major segments or.depends so we don't have to be a special.radio for each country which can be very.expensive so for the Tod environment so.can we imagine we can build a radio.which can cover always fun at UF up to.250 gigahertz right so in that case we.can provide a special dominance we can.operate the frequency any narrow band.from HF up to 250 gigahertz or we can.spread the signal across the whole.spectrum and the to provide secure.communication that's what I'm very.excited to do it so in a case instead of.using very narrow band.communication like what we are doing.today and how can we use ultra wide.frequency range to generate different.waveforms to deal with different.capacity requirement all these security.requirements LPR PD and sensing and.alone also to protect against whether.the interference and our losses we will.say hey that sounds great the idea that.first of all we have to build a highway.to deal with this so in a case we had to.build a radio which get enough bandwidth.for sure.but in the Tod environment as compared.to point on radio which is really.protected writer to deal with the fading.with interference and the vehicle move.around so in a case we need very good at.a meaning range out of our Franken and.data converters to capture all those d.faded signal and then recover it right.and then how can we integrate these.things inside relatively portable or.movable box and eventually put out like.Dick Tracy's watch right in the future.now be wonderful right so you can choose.any frequency you like to operate and.any penguins you like to do so that's.something we are interested to look at.so to do that so we really need that.semiconductor technology to do it.so if we look at like all those analog.are from a and technology you can see.the blue that is the schrieffer.technology yeah pretty good the.frequency response up to terahertz.transistor but if you look at all the.integration for the silica to shrink to.that needed a tuition to a Dick Cheney's.watch size the Green Dot they are very.honest re-400 Rica has rigid so one.disease we like to look into the Eri.besides the digital electronics we also.like to look at a mixed signal mix more.I see technology to push the integration.and the speed of chances toward a Tara.so in that case we can build this.wonderful radio so we also need to.interface with CMOS as a BSA we had to.process the signal we have such wideband.signal you try to digitize it and for 10.12 beats resolution to give you that.many arrange that means you have to.motive had a sampling cup at 10 X for.the digitized data so by your original.data is very relative a few gigahertz or.tenser husband with why I need a.Terra has back plan to do it so it's in.important we try to condense the.digitized signal through the machine.learning techniques or the digital.signal processing reduce from the.digitized data from the analog war down.to the extract area signal data in the.Chicka Hertz range so in the case we.interested in the real-time machine.learning techniques a lot of the tensor.processor you can do video or voice very.well but another in a very fast.environment so we need a low latency.processing so the tradition at the UN.since it's good for inference but in the.real-time learning adaptive you have to.feedback let alone know long latency so.can we use some kind of feedback can a.network like the rest of all or our and.to do this more efficiently with some.seller we are very interested.now hopefully losses can be integrated.with our Fagin to give you the Dick.Tracy watch so let's follow me.interested to pursue and any employee.you have will be very happy to have.thank you very much we have a couple.minutes so YK will give them a snapshot.into like the the behind-the-scenes.office interaction right and so ultra.wideband.is interesting technologically it's.gonna push the state-of-the-art.if you're gonna go 40 gigs and sent.aeneas Lee.you're gonna have to have really.interesting compression algorithms close.to the antenna what not the challenge I.think we're facing is how do you do that.in such a way that it isn't just more.exquisite and hard to use right you know.we already turn off a substantial number.of features in radios that are for.things like security because the.warfighter just needs to communicate.when they need to communicate so there's.something really good there about.translating ultra wideband into ultra.reliable and not just more secure so.really balancing the security and the.reliability issues I think is the type.of thing that we're studying to figure.out how you would run a program that's.not just you know more finicky right.we've got enough finicky radios out.there so all right Andre so listen.you've heard about andreas I know the.plenary speech andreas had a small.design startup got his start on.Kickstarter I think that's a pretty rare.fact for a an electronics company and so.he's been leading the charge and.next-generation design so address.all right so I've been designing chief.products for about twenty years ten.years at a TI and TI before I started my.own company and if you know the quote.genius is 1% inspiration 99%.perspiration that is never more true.than then in chip design right so 2008.spent about six months creating a new.architecture and the instruction set a.new memory architecture network and chip.best time my life so much fun and then I.spent the next eight years logging.through porting a designing boards you.know chips at four different node or.three different nodes and then finally.boxes right that's what you need to do.to do hardware design so you know you.very quickly get through the innovation.and then it's just a slog so I came to.DARPA to try to address that there's you.know make that more efficient make it.you know maybe it's not going to be 5050.between inspiration and perspiration but.not one to 210 so we've seen this graph.right complexity growth and we talked.about that during the panel on Wednesday.and the point I want to make here again.is that the cost of design the cost of.complexity is not one thing there's no.panacea you have to address all of them.right so the the portion idea program.tries to address design verification and.layout but but to really make a big.impact as we know from handles law you.have to address all of them so just to.summarize right that's the end state of.the of the passion and idea program you.know you you truly will be able to take.source code and schematics push the.button and get the blueprint in GDS two.out four boards as well as as chips so.now what right so we talked about.silicon chip design we can we feel.pretty confident we're gonna have a big.impact in that space but chips alone.don't don't mean a lot right it's a.system that matters so if this you know.go from silicon to systems.taking a look at some of the very.complex systems and we have similar.problems you have an explosion the cost.and the people involved in these systems.I mean it comes back to our brain so our.brains our capacity to comprehend detail.has not grown in the last 50 years but.our systems have gone exponentially more.complex so that means we need more.people each one specialized which means.we have more communication overhead so.it's really one of the same kind of.complexity binds but if we look at the.f-35 for example right possibly the most.complex machine on the planet all kinds.of modes single processing equipment.control systems in terms of capabilities.if you look under the hood right you're.talking about tens of line tens of.millions of lines of code thousands of.suppliers thousands of unique integrated.circuits setting to be integrated so the.you know software and hardware this is.the reason why this has taken over 20.years and cost you know fifty five.billion dollars in R&D so how do we.solve that portion India is not going to.solve the problem portion idea is just.going to take care of the the physical.layout and some of the reves it's not.going to take care of the software.integration and the testing so the.question is you know can we emulate a.complete system and the question here is.really can we create a platform where we.can do enough software testing and.what-if scenarios and trials without.having to fly the airplane and so kind.of becoming a really emulating the real.airplane as as much as you possibly can.it's a big challenge we had a workshop.on this during the ERI summit and we had.we had Lockheed Martin there we had.Raytheon we had way mo as well as all of.the EDA companies who today provide.emulation systems for chip design and.the outcome was this is a really really.hard problem there is no obvious.solution but it's a very important one.so it's not just airplanes if you think.about you know enormous constellation of.satellites up in Leo you don't want to.just upload the firmware.and hope that it works it's a.distributor system you need to really.know before you upload them that this.will not break down self-driving cars.you wanna you know upload a new.self-driving software right to the cars.to a fleet of millions of cars you need.to know that that's not going to cause.everybody to turn right when they should.turn left at some place so so if there's.there's really multiple domains that.need these kind of capabilities and.there's some fundamental basic.technologies missing and there's also.the main specific technology that needs.to be put in place so that system.emulation is one area so that really.addresses the software verification.challenge second one that I'm interested.in is space processing so if you look at.where space processing is today it's.really pre EDA so if you if you watch.the panel with a bob Connell in Conway.talking about you know how computer.science was really the way out of.complexity right you you put the.knowledge into the EDA tools to make it.easier design in radiation hard.electronics we're still you know that.knowledge still inside people's heads.we don't have ETA tools for radiation.harder electronics and as a result the.radiation hardened processor are lagging.commercial processors by 1000x so this.is going to put a severe limitation on.what we can do and I know that people.are putting commercial electronics up.and leo in industry but there are.radiation environments where that's just.not acceptable.so what do we do there do we just stick.with the low performance processors or.do we figure out a way to easily design.radiation harder in electronics so I do.think there's a path and I think the.government has a big role here the EDA.industry has always been motivated by.commercial interests you know the big.companies like Intel Qualcomm and.Broadcom you know there really aren't a.lot of commercial entities that are you.know are selling these chips in volume.so but it is an important Avenue so so.we could invest in Cray.be a tools for radiation at hardened.electronics if we want to be able to.auto generate these kinds of chips so.imagine having a chip design for a.commercial on the ground processor it's.been well tested in a certain node and.then push of a button you get the.radiation hardened by design the.software rate is improved there are.checks for single event latch up rules.that don't exist today I think that.could be quite powerful and then finally.I'm interested in manufacturing at the.at the board level so you know there's.probably a thousand different products.on the board level for every product on.chip design today right this five to ten.thousand chip designs done every year.well maybe not a thousand but there are.hundreds of thousands of new boards.being manufactured every year and within.the DoD procurement and bill-to order.could possibly disrupt all the way we do.business right so so if you imagine.having a warehouse full of components.having the fabs the PCB bare boards.right which are not that expensive.sitting on the shelf all the components.can imagine like an Amazon style.warehouse and then roboticized.manufacturing plants meaning that you.pick the assembly the PCBs off the shelf.you pick the components off the shelf.and then you have a built system out in.the other end and for those of you have.been involved in PCB manufacturing today.that is not the way it works there's.lots of manual labor lots of places for.mistakes and this is in being contrast.to semiconductor manufacturer where.there's Diagnostics all through the line.everything is run by robots very little.human handling very little room for.mistake this is a big opportunity for.for us manufacturing as well as for the.DoD to increase efficiency so so those.are kind of my interest areas radiation.hard electronics electronics.manufacturing and system emulation so.you know where to find me if you want to.talk.Thanks all right great stuff so we've.got a little bit of time so you know I.think we've been kicking around.something that large-scale emulation for.a while and we just held the workshop.and you know I've got a dream and I've.if you talk to me long enough I will say.this because I only have a couple things.I say I just repeat them across the.large conferences so I I want a car that.is after ten years after I've bought it.is 10 years better not 10 years worse.right and that means that I could annoy.a better computer I get a software.upload it means that I've actually got a.digital twin or something that's in the.background is allowing progress to be.made behind my back so you don't have a.test and evaluate something new in the.system so if you can actually sell a car.ten years after for more than you bought.it right then we'll have succeeded I.don't really care about cars or I do.care about is the military systems that.that would impact and so we can design.quickly all day and we can't get into.the field then you know all we're gonna.do is just create better stuff that we.complain that people aren't using so.that's why you see that shift to some of.the system discussion all right.speaking of which Steve trim burger who.hosted our alternative computing session.yesterday I'm very glad to have him he's.our newest program manager actually I.don't know who's newest but one of our.newest program managers and you know.very often we get dignitaries from other.countries and say how does DARPA work.you know what is it about DARPA that is.unique and it's people like Andreas.Steve Serge all of my program managers.who pressed pause an otherwise thriving.career and and enjoying the government.it does not happen another country.and you're on the government side or.you're an industry side so having people.like a fellow from Xilinx come and and.lead an alternative computing thread or.whatever you're gonna tell people you're.in a head is very exciting it's a Steve.and right suit I'm gonna stand up here.this is different.you know I'm an interesting industry.guys I could did a lot of things.different first thing I'm gonna do.differently is don't have any slides so.you have to look at me so I'll stand up.here the second thing is an entry guy.says bill your idea of a car that's.better 10 years will not work because.they want to sell you a new car so that.so so in the technology transition phase.this might be a brilliant idea to work.but and when you get the technology.transition I'm afraid we're gonna have.some issues and so anyway that's kind of.a perspective I'm gonna try to bring to.DARPA the other thing that's different.about this I don't have a program yet so.so I don't have any particular X to.grind although I'm gonna grind a few.other axes what I'm going to do is talk.a little bit about about the bounds on.the problem as I see the balance on the.problem so first a little bit about me I.started as eiling's just about 30 years.ago so I left about a year ago and so so.a lot actually built technology that's.about five orders of magnitude in.computational complexity so these are.things going into small embedded systems.and large computational installations so.seen a lot of different different.technologies but not specifically on the.application side on the technology side.and in in that time so this is the.programmable logic business this is.FPGAs leverage Moore's law but the FPGA.CDC today are not just Moore's Law scale.up of the ones that were being built in.1984 there's a lot of other technology.in there and so that was a little out of.what I was doing taking doing things.like 3d.and optical and combining microprocessor.plus f2 FPGA there's all that stuff.that's inside there a lot of the things.that we talked about today that that.beyond more or whatever yeah that's been.done in those devices actually been done.throughout the industry so it's kind of.interesting where you know as we look at.you know sort of the ERI premise that.while scaling is slowing down we need to.look a few other places as an industry.we certainly have and those of us out.who come from from the industrial side.say well what's new update about this.imma beating my head against this.problem for a long time what's different.and okay let me let me talk a little bit.about the arc of the technology.development.there's the invention side which is a.little bitty piece of it you do this.invention and you have this great idea.and you and then there's this risk.reduction phase where you you work on.the invention you make sure that it's.actually going to it will really work.and then there's what I call a DAT then.adopt where you filter the technology.does a lot more than what you need or.then what more I should say a lot more.than the intended application and you.filter that and then then there's the.press to product and this is where this.is this is the the huge amount of.expense and and the value gets added and.then there's loss of control and that's.the measure of success when you lose.control over it I think a lot of times.we're very afraid to lose control of our.marvelous little invention so yeah.you've got to be able to do that I'm.going to consult my notes here so I.don't forget anything of importance I'll.just forget to the unimportant stuff so.yeah it's like coming to the commercial.bias that means I have tremendous.respect for Digital synchronous CMOS so.we can we can step back and say no I'm.gonna I'm gonna violate somebody's rule.I can do something a little.that's okay but if you step off the.moving sidewalk at the airport.you might get there sooner you might.make more progress but the Joker sitting.down won his cellphone it's gonna pass.you up when the wheels on your luggage.start to wobble so if you get off the.technology moving sidewalk and there are.several all right obvious technology.scaling there's an EDA moving sidewalk.there's an educational moving sidewalk.right G we would like we would like a.the new vision of the world is we need.to be doing analog design by gosh not.only are there no analog designers.they're professors didn't learn it.either so you're in trouble if you're.gonna step off that moving sidewalk so.the industry guy says you do something.different all right you have to solve.that problem.what is the problem you gotta solve and.that's the other the other issue with.the the industrial vision of technology.development is you have to solve all the.problems or you get nothing out at the.end of the pipe if you have a technology.it's wonderful but you can't test it you.can't prove the Rallye ability no you.have to be able to do that you have to.be able to design it you have to be able.to build it you have to manufacture in.volume reliably every day okay so all.this stuff all this boring stuff right.doesn't sound DARPA hard but it's.enabler and if you don't do it you don't.have it and if you Det can't do that if.the industry won't produce it for you.you don't have the technology just as.certainly as if you hadn't developed it.upfront in the first place the other.aspect of this is scheduled schedule.what you talk about schedule with.research the week you lost upfront.dithering about what you're going to do.is the same week you lost the back end.when you're trying to deliver to your.customer schedule is scheduled and you.got you you only have a certain amount.of weeks.and so so time is of the essence always.in the process.we'll skip that one talk about it later.and I'm gonna hit this topic of solving.the whole problem because it came up a.little bit with Andreas you can remember.his slides we have become good at.looking at our new novel technologies.and saying yes I must include EDA in it.so we took oh we have we have task task.1 build me a new tech new design.technology task to build me the EDA for.it.right but we don't have task 3 of how.are you going to test it task 4 how.you're gonna prove the reliability those.sources we kind of leave that to.somebody later if we're going to leave.that to an industrial partner or someone.to to prove that out that's a big.expense and we're gonna have to pay him.for it.we have to let can I'm gonna talk to the.industrial guy you gotta let those guys.make money so so that's the other thing.there's part of the problem we will.leave for those guys you better pay them.for it so that gets me to the to the.what do i how do I really really see the.future here we do have to step off a.moving sidewalk we don't have to step.off all of them and when we do step off.that moving sidewalk we're gonna have to.be running hard so I'm looking at.running hard in devices and.architectures and I'm trying to leverage.digital synchronous CMOS as much as I.can.[Applause].thanks Steve I think I'm gonna save.questions for the the panel just because.I think I'm gonna make sure we get to.that and be able to answer questions.from the.all right so now now our newest member.surge leaf good news is lots of fresh.opportunities to co-opt minds to create.new programs so surge leaf joins us as a.VP at Mentor Graphics so long history.and EDA world but also and and venture.like roles so can understand that.innovation and creating innovation and.getting it to exist in the world sort of.thing so surge thank you Bill.all right so let's see as bill said I'm.the the newest member of the team so I.spent my entire life and electronic.design automation I started working on.simulation and synthesis in.undergraduate school and and then.basically joined Intel and developed.simulation placed in route silicon.compilers to enable the original.microcontrollers like 8051 1896 I was on.386 design team and so on so so I have.actually personally created left behind.10 million lines of code doing different.EDA things mainly in synthesis and.simulation and I spent 28 years of.Mentor Graphics and where I was managing.a large division focusing primarily on.system kinds of applications and also I.was in charge of venture capital.incubation mechanism at mentor where I.looked to identify new opportunities.invest in them develop them into.businesses some of this through.acquisitions some through a licensing.some to organic development so as an.example of program that happened in my.division this was a program that focused.on secure silicon the idea was can we.add security subsystem to SOC s and.so we created a technology that injected.the security subsystems into the chip.which contained the hardware root of.trust key stores.meters like a dama ters and stuff like.that and so that you can essentially.defend against supply chain attacks the.reverse engineering attacks we could we.can encrypt or obfuscate logic blocks.unlock them after production with keys.and stuff like that and so when this.chips that contained the security.subsystem are manufactured during wafer.tests we ask the the security subsystem.to basically as to create its birth.certificate the birth certificate is.established that from that point on we.basically this thing becomes.authenticate able trackable and so we.can enable all kinds of things like.provisioning turning on and off hardware.features and stuff like that so that was.an example of something something we did.so when I started talking with Bill.about joining this team he told me you.must have a passion project you know.something that you've been wanting to do.for a long time and this this may be a.platform for it and it didn't take me.long to think about this because there.is one biggest problem in in EDA that.has existed for a long time and it has.to do with raising the level of.abstraction in 1978 we design chips by.drawing polygons transistors and the.design if effective designer efficiency.was maybe we could design something that.had ten transistors twenty transistors.and so on then in 1982 we went to gates.so now we could design things that had.ten thousand ten thousand logic elements.then in eighty eight we went to RTL and.the intent was well this is gonna take.us to millions of transistors well we.got stuck at RTL for thirty years.nothing happened we're still designing.at RTL level of abstraction and yet the.chips that were building today cost 300.million dollars and contain over twenty.billion transistors that's why we're.seeing all kinds of gaps that are being.formed we can't verify what we design we.can't really integrate things that.we design and so on so the challenge.that I'm interested in is nothing less.than to revolutionize the way that.digital chips are designed and raise the.level of abstraction not one but maybe.two levels not just up to the behavior.but up to intent this is an idea that my.peer Steve convinced me is the right way.to go and so the problem is has been.articulated back in the day as follows.you describe functionality and intent.you push the magic button and then.outcomes your system right and but when.I talk about system-on-chip I don't mean.just hardware to me system on chip is an.SOC and accompanying software stack and.so that's that that has been division.and over 30 years the industry and the.academia tried to chisel away at this.problems but it best had partial and.peripheral successes and in 2007 one of.my customers actually informed me hey.you guys have been wasting your time for.25 years on this we solved this problem.the system since problem is done you.don't need to worry about it anymore so.I started asking them so what what are.you guys doing what would what do you.mean by that.and so they described this methodology.to me which was hey we describe what we.want to construct in UML then we.manually decide what is going to be.hardware what's going to be software the.stuff that's going to be software we.take through automatic code generation.and stuff that's gonna be hard where we.take through the synthesis process and.we have created this constraint platform.which is little PCB that has a.microcontroller FPGA memory and so.everything that we do Maps into this and.we achieved incredible economies we can.turn designs and weeks cost us next to.nothing and so at the time I dismissed.this but as the time went on I kept.coming back to this and thinking you.know what maybe there is something here.maybe solving this problem actually is.the solution is hardware and software.meat as opposed to just thinking about.it from synthesis perspective and so the.more I thought about it the more I.thought this is.this this is a problem that can be.solved where by combination of a soft.platform and high level synthesis and so.the idea that I'm interested in.exploring is taking the notion of a.platform that contains a CPU embedded.the FPGA domain-specific IPS security.mechanisms and making the platform soft.in other words configurable so that a.synthesizer is actually given the choice.of maybe 30 CPUs the synthesizer is.given a freedom to rip up and.re-implement the on chip communication.system it is given freedom to take parts.off the behavioral model and figure out.how they map into accelerators that are.available in the domain-specific library.and and the notion of synthesis.historically has been we're trading off.performance versus size well I'd like to.expand that it should be performance.versus size versus power versus security.where security is yet one of the.optimization dimensions anyway.continuing the second problem I want to.talk about that interest me is secure.design so right now I guess up to now.defense systems were basically printed.circuit boards largely and various parts.were designed at various places and.there was some kind of methodology or is.some kind of methodology which is.administrative that assured people that.chain of custody was secure if you are.looking at the modern world where.designs are really IP centric and the IP.elements come from all over the world.and are attached by thousands and.thousands of people the question is what.is how do we insure provenance of this.thing's so if a chip consists of.preexisting IP and new IP you can.basically think about asking questions.like what.where did new IP come from who designed.it who attached it who edited it why did.it change when and pre-existing IP.questions are what happened to it since.it was actually trusted because IP is.published in source form.it can be edited humans cannot find.malicious logic in this or simulation.tools cannot find it and so the one of.the one of the ideas to consider is that.the design tools that want to be.compliant to the security to secure flow.basically can be compelled to be.extended so that they can authenticate.the user before they allow changes to a.piece of design they can calculate the.difference between the current and the.past version they can get time that date.map address IP address you know combined.all of that into some kind of a key and.attach it to a chain of provenance which.can be interrogated at any point in time.in the future so that I'm not saying I'm.protecting IP blocks from injection of.malicious circuits I'm simply saying.that chain of custody can be managed and.observed and then for the pre-existing.IP IP block is trusted before it's.checked into the library perhaps inside.the arm building and then it's checked.into the library I think what I'd like.to explore is the notion of digital.watermarks so I want the digital.watermark computed at that time but I.also wanted converted into circuits that.are injected back into the design so.that the design can always be forced to.recompute its watermark at any point in.its life either through simulation.emulation or live silicon so you can.inject watermarks.into unused States and state machines.route them so that are accessible.through JTAG so that you can always.interrogate the provenance of this thing.and so then you can sort of think about.expanding this to more complex and.larger systems where I would envision.that why just think about IP as design.elements why not embedded software that.goes with it why not have MCAD tools.also establish traceability and so on so.that's that's kind of I have one more.quick topic and andreas touched on this.but this is something of interest to me.as well distributed systems I founded.and managed mentors automotive business.unit for seven years with flying to.Munich every six weeks where my second.office was for seven years and I have.seen every car company every airplane.company every helicopter company.basically articulated the same.requirement to me we would like to.simulate our systems not mechanical we.just want to see how the software runs.on each node interacts with the other.nodes when I press the brakes and it.involves three different subsystems can.I follow the sequence of events can I.ensure the timing works so this is a.problem that's been articulated there.are some ways the industry is dealing.with this I think there are interesting.things to consider here can we arrive at.the level of abstraction where it is.both reasonable and performance.inexpensive to model and delivers.interesting and relevant results and if.you have that why not optimization in.other words does this piece of software.really have to run on this particular.computer can it be moved here and when I.did that did I did I just accidentally.create half a mile of cabling and if I.did that's not necessarily a good thing.anyway that's it thank you thank you sir.yeah consistency is good consistently.over no it's great.a lot of ideas as you can see that's.where we want other the new folks lots.of ideas lots of opportunities for you.to influence their directions and lots.of difficult decisions on our part and.I'm figuring out exactly where we're.gonna head all right so now to someone.who's been here for a while one of our.elder statesman 2 p.m. at this point.sort of be Paul Tillman joined from.Lockheed and has really been leading our.cognitive UW world which in really.straddles that line that I presented.earlier is probably the prototypical.example of straddling that line it's the.RF space being revolutionized by the.impact of intelligent decision-making.and machine learning so he's gonna talk.about what's next in that journey thanks.Bill.[Music].want to take a page out of Steve's book.and present from pharmacist level here.so as bill mentioned I came prior to.DARPA I was at Lockheed Martin's.advanced technology labs and among other.things we created the first cognitive.electronic warfare system and and really.what I want to talk about today is what.we perceive to be a necessary step if we.want to continue to evolve that.technology if we want to continue to.evolve the application of AI to the.spectrum and very specifically I want to.talk about a concept that we call.digital RF battlespace emulation and in.a nutshell I want to emulate the real.world in RF in real-time and so I'll.walk us through some of the.computational challenges we see behind.doing this so first let's start with why.why is it that I want to emulate what's.happening out in the RF world the real.challenge is this is that spectrum.supremacy spectrum dominance whatever.term you want to use is really no longer.defined by how well a single system.works having one exquisite radar or.having one exquisite jammer no longer.really defines whether or not you're.going to win or lose that spectrum.battle right the world is networked so.it's really about how well do all of our.radar systems re W systems work and.providing sa situational awareness to.the blue team while taking that same.situational awareness away from the red.team so it's really a problem of scale.right I want to understand how all of.these systems work and interoperate at.scale but my challenge today is that I.have a tough choice to make if I want to.understand how a large number of radar.and UW systems let's say communication.systems as well if I want to understand.how they interact and work on the.battlespace I could make a simulation I.get excellent scale when I do that but I.compromise on fidelity I can't simulate.the actual waveforms I don't actually.propagate waveforms through space.through an environment I don't have any.of the digital signal processing that.resides behind those systems actually.present my simulation so I'm making a.lot of educated guesses and when you add.up to many educated guesses there's a.real question about did you actually.simulate the problem you intended to on.the flipside we could go do actual open.air tests we can fly airplanes on rain.with radars and jammers excellent.fidelity right I have all the fidelity.of the real world because I'm in the.real world well it's expensive and it's.time-consuming if I have a system and I.need hundreds of flights in order to.prove out that some new artificial.intelligence algorithm applied to a.radar alw system has an improvement I.can't do that through hundreds of open.air flights it's just too expensive so.hardware in the loop emulation is meant.to sort of bridge this gap a hardware in.the loop emulator lets me take real RF.systems connect them to a magical box it.takes the signals propagates them as.though they went through a real.environment and spits them out the other.side so you can connect multiple radio.systems and make them all appear as.though they're moving out in the real.world the challenge is that the hardware.emulation systems that we have today do.not actually strike a nice balance.between simulation and the real world we.get none of the scale and we don't get.close in fidelity and so what that.really means this is an opportunity here.to really advance the state of the art.and how we can emulate the real world by.doing not just hardware emulation but.massive scale hardware emulation with a.real focus on achieving high fidelity so.if we look at the existing world of RF.emulation the commercial systems that we.have today are all sort of playing the.same game on the x axis here is.bandwidth how much of the physical world.can we emulate any point in time and on.the y axis is the number of ports or.devices how many radio systems can we.connect to this and so we can either.have a large number of radio systems or.we can have high bandwidth and we're.trading those off in relative quantities.with each other.DARPA s' Coliseum from the spectrum.collaboration challenge is a really.excellent example of if you want to put.a lot of blood sweat tears and time in.what can you get with the.state-of-the-art and commercial.off-the-shelf electronics so the.spectrum collaboration challenge we're.asking the basic question what happens.or what a radio systems look like that.are designed to thrive in a world.without spectrum management and in a.world without the FCC and doing that.we're expecting our competitors are.really combining.the worlds of software-defined radio and.artificial intelligence but in order to.ask those questions I need to be able to.understand what happens if you take.radio systems with no knowledge of each.other and for example ask them to.support first responders responding to a.fire and understand what the spectrum.looks like when you do that that meant.we needed a system that can allow us to.connect a hundred radio systems hundred.plus radio systems make them interact in.real time in a very repeatable way with.that we created the Coliseum behind the.scenes Coliseum is 64 vertex 7 FPGAs.and the squeeze every last.floating-point earth excuse me every.last multiplied accumulate out of.Coliseum we actually had to hire one of.the people that helped design the DSP.logic in the vertex 7 so that we could.get every last bit of compute out of.that but the real challenge is that if.we want to advance beyond the.communications type emulation that we're.doing today to support radar and.electronic warfare we need to be up here.we need to be over a gigahertz a.bandwidth you need have 500 plus inputs.and outputs this is a substantial.challenge why well let's dig into how do.you actually emulate the RF form what is.it that we're trying to do first and.foremost we need to take end systems and.make n outputs n real systems real.radars real ESM systems on aircraft real.jammers we need to be able to connect.them to some system and have them.produce inputs and outputs that everyone.can hear in order to do that we have to.be able to propagate wave fronts so that.radar system when it's transmitting it.needs to be clear when it's illuminating.the upper aircraft and when it's.illuminating the lower aircraft.computationally it's a problem that.grows to this square so this is.challenging but it's not just about.propagating the wave fronts themselves.we're also interacting with other.objects in the environment that we don't.want for example this radar as it's.interrogating that that aircraft is not.doing that in free space it's also.interacting with a patch of ground.climates so we need to emulate multipath.again another problem that grows to the.square but all these radars are out.there putting energy into the world.they're creating reflections so we need.to emulate radar cross-sections and this.is actually even more challenging.because this problem grows cubically as.opposed to the square so these are the.kinds of tasks that we have to emulate.these are the kinds of interactions that.our waves have with the real world we.need to do this but we need to do it in.real time so what does it take.we've studied a handful of potentially.exemplary problems what might we want to.do with the system like this and as sort.of bottom threshold a floor of what we.think it would take we think that this.puts us in the twenty petaflop a compute.region 200 plus terabytes per second of.interconnect bandwidth two terabytes of.memory but perhaps the most challenging.part here is the real-time part got to.do this in three microseconds so your.first reaction might be Paul I think you.just described a high-performance.computer why don't we go out and just.buy build make a high-performance.computer and indeed if you just focus on.the flop count this would tie for a.number five or six HPC in the world but.the challenge is that I'm not describing.a typical high-performance computer.really describing a new class a.high-performance computer that is.inherently real-time and so if we take.that top line budget that we just gave.you and we break it down we have five.key metrics here how much compute memory.memory bandwidth IO bandwidth and.crucially latency if we said we're gonna.solve that problem with some kind of.compute cluster so let's take it and.figure out on average what does a.processor have to do using 156.processors you get the top line.requirement there on the spider chart.we've normalized everything so the blue.area the blue line there are our.requirements normalized to one the rest.of the colors you see there we went and.plucked processors and FPGAs and GPUs.that we find populating our.high-performance computers and every one.of them touches two maybe three of the.points that we need two or three of the.requirements but no one type of.processor actually scratches all of the.itches and so what we really need is we.really need to pick a new trade point.here we need a domain-specific arca.that's designed to solve this problem is.designed not just to have high flop.performance but is also designed to meet.real-time latency constraints so I think.we're really at a crossroads right now.where it is possible where it has not.been in the past to do large-scale.emulation but the challenge is that if.we think we're going to get there by.relying on off-the-shelf existing.processing systems we're sorely mistaken.and so what we really need is we need.and exhibit a new architecture that is.optimized to solving this class of.problems a new architecture that's going.to give us a high performance but.real-time computer so with that thank.you I'd be great if you blew an ACL on.your way off the stage all right so if.we could bring the PM's up and we'll.we'll start answering questions you know.the app you've been able to load.questions throughout the the session.like we have all week and we'll answer.some of those and then also bring up.some of my own you know one we heard a.lot right I think I'll give you my take.on where I thought I heard things.heading surge is really gonna pick up.the mantle in terms of design from a.security perspective right assurance as.I mentioned in the plenary speech we're.at a crossroads from performances driven.the electronics community security is.starting to overwhelm you know and we're.gonna paralyze ourselves and we can't.actually figure out how to balance that.and so just doing things faster is.incredibly important for the DoD one of.the reasons we need to get involved in.the first place is security we have.national security concerns which are off.the beaten path and something that won't.be we can't just trust the the.commercial domain and so Serge is gonna.kind of wind in that direction.[Music].Andreas has been leading the charge.between chips and I.in polish on on rapid design and now how.do you get those into the field quicker.it's kind of that next that next step.large-scale computing but applied.specifically for next generation of.emulation is what he heard from Paul.Steve alternatives computing right.getting off that we already call it the.sidewalk moving sidewalk 53 years of.progress and jumping away and you know.from devices through architectures and.YK looking at that intersection of.computation and our reference that's.that's an exciting list but we still got.to figure out exactly where we had one.on all of these so all right I will ask.a question.thanks for the office first which is you.know we are engaging the commercial.sector more broadly and you know that's.not because we like the commercial.sector or don't like the DoD sector it's.just a function of scale if 8,000.engineering engineering years are being.put into an FPGA and a GPU design we.don't have that I don't have that with.my budget we really don't have it for.the broader DoD enterprise because we.have chip designers but we don't have.companies dedicated just only so slowly.doing that one things so how do you.maintain a an advantage and that that's.a very very difficult problem so I get.my answer then open up the floor you.know the office is trying to form.partnerships between the commercial base.and the DoD and it's not that we like.either side at all what we're trying to.do is flow from all of the energy that's.behind the commercial sector that's.thriving within the United States and.transition that into the DoD with an.opportunity to have those partnerships.the summit was a good.of trying to get both sides at the table.to have the unique DoD needs meet with.the commercial capabilities we aren't.gonna we're gonna lower the barrier so.we can design new stuff ourselves and.that mixed with customizing or using the.commercial capabilities that are.emerging from our country is the answer.and it's a mix of both so so andreas as.an example you know you're working with.commercial companies you work with the.EDA vendors as an example how do you see.this world trying to maintain a.asymmetric advantage in a increasingly.globalized world well so a in in the.commercial world you see this law of a.free market but you have tight.partnerships right those partnerships.are formed over a long time and you know.you can manage that through just being.first their personal relationships.monetary incentives exclusivity clauses.so there's a lot of tools that you can.use to create that asymmetrical.advantage in the commercial world and I.think there's some opportunity to do.similar things in the government side of.him I think the chips program is a.prototypical example right by creating.an open standard for the country we're.lowering the barrier of learned defense.and would say an accelerator what not.can add in a customized block easy to.say you still have to do all of it and.because steve is mentioned right you.can't do 90 percent you actually have to.be able to program it you have to.actually be able to put that into the.field so it's easy to say we're just.gonna customize on top the commercial.further you put it away from the rest of.the software stack the more you're gonna.not be able to actually customize and do.things different okay so other questions.here which one all right so we have EDA.for photonics waveguides of RF routing.so we don't have that right I think.that's a good example so Gordon is.somewhere Gordon is gonna take on the.the optics so that you know as we said.there's overlap between the different.sessions we're definitely looking at.doing an optics program I want to say.when but it's definitely being baked as.we speak and so if we were to do.EDA for photonics it would definitely be.in that session so how about one for.Steve Steve you hosted a session we had.cover meet here we're blessed to have.him be able to kind of help guide us.into this next generation of alternative.architectures can you rehash that what.would you learn and what was it that you.took away from that from that session.there was several really important point.so one of the one of the major topics we.we discussed was neuromorphic computing.and yes DARPA has has investigated this.in the past the 1:1 reaction would be to.say we tried it it did not take over the.world so let's let it rest what I took.what I took away from that though is.DARPA worked on one aspect of that and.then my lead was again we we didn't we.didn't manage to come to bite off the.hole enough of the problem solve enough.of the pieces to make to push that to.success but another way to look at that.is we have we have a partial success we.could argue that well you know the.digital synchronous CMOS Moore's Law.juggernaut we buried that problem under.a sea of transistors and now we can't do.that anymore.but but I don't think that's fair I.really think that the issue is we need.to think about the whole problem and and.it's that's what that second phase in.the technology stuff it's it's the.refine refining the idea to what you.really want to do and execute on that.but actually the big thing that took out.of this and I was.was when when Carver said no weed we.latched on one part of this neural model.and we jumped on this Network thing and.as an industry charge of headache.we've solved it and said there's a lot.more under there that we can do there's.a lot more to this this model do we.haven't even touched yet.and then when Doug chimed in and said.yeah and now we see this neural network.model running out of steam I said oh my.goodness it's only been a couple of.years it's already running out of steam.and then I said no I'm at DARPA.it's wonderful that it's probably got a.steam okay that's good yeah you know one.thing that Doug mentioned was the.incumbency issue right that subaltern.suboptimal options exist in the field.for a long time just because that's they.existed before and so that resistance to.change and his clouds are built on a.certain architecture yeah how just the.enormity of actually redoing all of that.right and what were your thoughts on.that because I I hadn't really thought.about the fact that over the last 10.years we'd built planetary scale.computing in one very particular way and.I know you know all my pictures are in.one particular version of that and.sucking those down and moving them over.and like you you I'm just kind of you.know.committed in one direction right is it.personally right and we are so as a as.humanity if committed in certain.directions so if you were to invent some.radical new architecture how would you.actually handle the incumbency problem.I'm okay it's there actually I see this.as you know with what Doug said the.planetary scale computing it's it's this.data center moving sidewalk.they're building something and they're.going to build an X and the one after.that so so I see this as as a technology.direction to be leveraged so now how do.we leverage at what is it going to look.like okay well we've got a lot a lot of.networking down to localized centers of.intense computation so there's a lot of.communication to get to these.communities computation notes what does.that mean for us well this is an.opportunity to construct as an in as an.industry not necessarily just start by.to construct novel computational.solutions that can reside inside that.environment so where we might not have.seen a role of quantum computing in my.handheld device maybe I do see a role of.quantum computing in this planetary.scale think either it makes kind of.sense well one of the things we didn't.hear a lot of which would be I think of.pretty obvious absence and the slides is.there's a lot of device work so maybe.put people's minds at ease if you have a.lot of people that are working on.devices out there talk a little bit.about what you're seeing YK and kind of.how that is shaping your vision for you.know the reservoir computing or yeah.yeah so just follow up with Steve and.Calvin's session yesterday so like.Calvin say and the neuromorphic.computing for example I think there are.many different domains or catalogs and.for example for your eyes your eyes your.amorphic function was depending on the.sensing and intensity adjustment but for.your finger you want to touch there are.different mechanism of doing that so to.me Emily how we oriented so I would say.will be user or how eccentric.application I think like at the onion.people studied in the 80s and they post.office give a job to they are left to.say hey rather zip code with hen right.then can you to use machine to recognize.it that kind of trigger the tienen and.then they use the computation power then.you can do the street sign recognition.and all those things that doing very.well with speech with pattern but.therefore a lot of other applications.like a DoD sanchita RF and other en wave.and all those octave signature analysis.and they might have a different sensors.and a user case maybe we should develop.a separate algorithm rather than the.tradition at the unit that's what I'm.kind of interesting as growing like the.rest of all computing with stand delay.element so you can have a short and long.term time delay with kind of folded.processing element is more compact and.hopefully will be lower latency but I.mean there are other issues like.stability in this feedback system and.how can you avoid a chaotic situation to.make intelligent decisions all right.well we're actually over time and.apologizes probably more we could get.two but they're all here they're open.for business so feel free to give them.your ideas and that's that's what we're.here for so we're here to listen and you.will be seen hopefully a flurry of.activity in the fall as we do this or.next round of electronics investment.thank you.[Applause].

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Wr 02d Office Of The State Engineer Ose State Nm FAQs

Here are some frequently asked questions along with their answers to clear up the doubts that you might have.

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What forms do I need to fill out to sue a police officer for civil rights violations? Where do I collect these forms, which court do I submit them to, and how do I actually submit those forms? If relevant, the state is Virginia.

What is relevant, is that you need a lawyer to do this successfully. Civil rights is an area of law that for practical purposes cannot be understood without training. The police officer will have several experts defending if you sue. Unless you have a lawyer you will be out of luck. If you post details on line, the LEO's lawyers will be able to use this for their purpose. You need a lawyer who knows civil rights in your jurisdiction. Don't try this by yourself. Get a lawyer. Most of the time initial consultations are free.

How would it play out if part of a state tried to secede to form another state of the Union?

If a Democratic state split, it would create two more Democratic senators in Congress, and likewise if a Republican state split, it would create two more Republican senators. I can't see either party allowing this.

How to decide my bank name city and state if filling out a form, if the bank is a national bank?

If your bank is national but has a branch in your town/city you can enter your town/city as the bank's address. Your employer is not relying on the bank's address you enter on the form.

How can I fill out the NEET form 2018 for the state of domicile for the 15% quota, as I am from Haryana and 12th from Delhi. Which domicile do I fill?

You may fill the form from Delhi so that you are getting 15% AIQ, Delhi 85% state quota and due to your Haryana Domicile you are getting 85% Haryana state quota. G S Walia 9717856115, 8851972958

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