Felice Pantaleo - Desy

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Graphic Processing Units
GPUs (1/2) • Exceptional raw power wrt CPUs • Higher energy efficiency (NVIDIA Kepler PUE 1.05) • Plug & Accelerate • Massively parallel architecture • Low Memory/core 15/10/2012 felice.pantaleo@cern.ch 13
Page 1 and 2: Use of GPUs for trigger application
Page 3 and 4: Introduction
Page 5 and 6: Generic Detector Structure 15/10/20
Page 7 and 8: Low Level Trigger • Time needed f
Page 9 and 10: Current Proposals: steps beyond Man
Page 11: Opportunities for HEP experiments
Page 15 and 16: CUDA - Kepler Architecture • SMX
Page 17 and 18: ALICE High Level Trigger Thanks to
Page 19 and 20: ALICE Detector ALICE is one of the
Page 21 and 22: ALICE TPC • TPC clusters of a hea
Page 23 and 24: ALICE HLT • Alice HLT tracker div
Page 25 and 26: Neighbors Finding 15/10/2012 felice
Page 27 and 28: Tracklet reconstruction • The alg
Page 29 and 30: Tracklet construction 15/10/2012 fe
Page 31 and 32: ALICE GPU Tracker Screenshot of ALI
Page 33 and 34: K + → π + νν in the Standard M
Page 35 and 36: NA62 Trigger RICH MUV CEDAR STRAWS
Page 37 and 38: Data Flow Max time O(100us) Receive
Page 39 and 40: RICH • ~17 m RICH • 1 atm Neon
Page 41 and 42: Crawford Algorithm Consider a circl
Page 43 and 44: GPU grid organization threadIdx.y =
Page 45 and 46: NA62 RICH Tests
Page 47 and 48: Hardware configuration (2/2) Second
Page 49 and 50: Results - Latency Latency pretty st
Page 51 and 52: NA62 CHOD Level0 Trigger
Page 53 and 54: CHOD - Kernel • Assuming the cond
Page 55 and 56: NA62 CHOD Tests
Page 57 and 58: Kernel 64x64 Texture memory is slow
Page 59 and 60: Throughput Saturation at ~3GB/s (I/
Page 61 and 62: Conclusion • I will test a comple
Page 63 and 64:
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