Post on 19-Jun-2020
transcript
GST, from Sensor to Decision
Technology based on neuro-inspired algorithms: Embedded Sys tems based on thefunc2oningofthehumanbrainfordetec2onandobjectrecogni2on.
Mul2Mediasound,images2D,3D,..
VideosSignals GST:
Createdinseptember201112persons(10inR&Dand2inBusiness)
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www.gsensing.eu
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Concerned Applications
Ø Human-Machine-Interac7on(TV,computers,smartpads,…)
Ø R o b o 7 c s , A u t o m o 7 v e(automated driving, objectdetec2on and target tracking inmovement,…)
ADAS(Advanced
DriverAssitantSystems)
Ø Surveillance-Security indoor and outdoor (noveltydetec2on,facerecogni2on,tracking,…)
Ø Produc7on automa7on (anomaly detec2on, productselec2on,iden2fica2on,…)
Ø Homeautoma7on(peoplecoun2ng,preven2onoffallsforelderly,…)
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GST Technology:
Embedded Neuro-inspired Systems
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Mul2Mediasound,images2D,3D,..
VideosSignals
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AvailableGSTSmartNeuroCam-1
BasedonNeuro-FPGA-1
XilinxSpartan6lx16
SDRAM512Mo
FTDIUSB
controller
CogniMemCM1K
1024neurons
ConfigROM
Configserialflash
4Moserialflashmemory
5xtestpoints 88I/O Externalsupply 4xLEDUSB
752x480pixels
ExposureTime:
100µsto20ms
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PNeuroaccelerator
Objec7ve:Designaprocessorintegra2ngwithinthesamechipsignalprocessingfunc2onsandneuralfunc2ons:ConvNet(CNN),Hmax,…
(JointLaboratoryCEA&GSTini2atedin2013)
………ClusterNeuroCores
DataIn(Signals,Images)
FromPreviousPNeuro
ToNextPNeuro
Classifica2onResult
PNeuro:ACascadableParallelArchitecture
ClusterNeuroCores
ClusterNeuroCores
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PNeuroacceleratoroverview
• Fully-programmableenergyefficienthardwareaccelerator• DesignedforDNNprocessingchains
• CNN,Hmax• Suppor2ngtradi2onalimageprocessingchains(filtering,etc.)
• ClusteredSIMDarchitecture• Op2mizedoperatorsforMAC&NL-approxima2on• Op2mizedmemoryaccessestoperformefficientdatatransferstooperators• ISAincluding~50instruc2ons(control+compu2ng)
• Programmingtoolsunderdevelopment• Libraryincludingmost-commonkernelswithassociatedparameters(convolu2on,
maxpooling,fully-connectedlayers)toeaseprogramming• BasedonN2D2placormwithdedicatedexportsforPNeuro
PNeuroaccelerator:MainSpecifica7ons
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• Firstdemonstra7ononaFPGA-basedPNeurousingConvNet(CNN)• Singleclusterconfigura7on(4Neuro-Cores)• EmbeddedCNNapplica2on(60neuronsonthehiddenlayer,450KOps)
• Facesextrac2on,18000images(48x48pixels)onthedatabase,96%recogni2onrate• Sameapplica2onportedon5differentarchitectures
• EmbeddedCPU:RaspberryPI2B,OdroidXu3• EmbeddedGPU:NVidiaTegraK1(batch)• DesktopCPU:IntelI7• PNeuro,QuadNeuro-Cores
• UsingaCEAcustomprototypingboard
• FPGAapproachisalreadycompe77vewithexis7ngCPU&GPUsolu7ons• FPGAproductdevelopedforearly2017byGST(NeuroFPGA-2board)
• EmbeddedFPGA:Ar7x100(~1W),17.6cm²fortheboard,includingonecluster
Target Freq(MHz)
EnergyEff.(Images/s/W)
Perf(Images/s)
IntelI7 3400 160 5800
QuadARMA15 2000 350 860
QuadARMA7 900 380 480
TegraK1 850 600 3550
PNeuro(FPGA) 100 2000 4960
PNeuroonFPGA
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• Caracteriza2onchipinfabrica2on(tapeoutendofjune2016)inFDSOI28nm
• Peakperformancesupto1.8TOPS/W@500MHz
• 0.4mm² for a single cluster and its control,w i th a power consump2on under35mW@500MHz
• ASICEVALUATION
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GST Roadmap
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ConvNetHmax
1DSignals2D&3DImagesMul2mediaDataDatamining
Smartphone&Cloudà2015…
EmbeddedprocessorPNeuroà2016-2017
Workingsta2ons(PC,Mac)à2012…
EmbeddedSystemNeuroFPGAà2012….
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For further information or video examples, visit our website
www.gsensing.eu
GSTSalesSalesDepartment23,ruePaulBert
92100Boulogne,FranceTel.:+33146032660gst@gsensing.eu
GSTHeadquarterTechnicalDepartment
14,ruePierredeCouber2n21000Dijon,Francewww.gsensing.eu
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