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• Exascale goals In a nutshell • Highlights from recent projections for exascale • Challenges • Micro, macro power • Memory capacity and bandwidth • Parallelism • Programmability • Programming systems play a crucial role • Survey of programming systems • Solutions are coming now —Heterogeneity with GPUs • Programming models need a vigorous ecosystem —Tools, autotuning, libraries DOE CSGF HPC Workshop
TOWARD EXASCALE DOE CSGF HPC Workshop
Page 1: High Performance Computing Workshop
Page 5 and 6: Holistic View of HPC Performance, R
Page 7 and 8: Tianhe-1A uses 7000+ NVIDIA GPUs
Page 9 and 10: DOE CSGF HPC Workshop Source: Fujit
Page 11 and 12: DOE CSGF HPC Workshop Source: NCSA
Page 13 and 14: System attributes Notional Exascale
Page 15 and 16: Note the Uneven Impact on System Ba
Page 17 and 18: Both macro and micro energy trends
Page 19 and 20: ORNL Roadmap to Exascale 1 EF 100 P
Page 21 and 22: A more consumer-relevant trend: Dar
Page 23 and 24: • Combines • 4 x86 cores • Ar
Page 25 and 26: Many GPU-enabled systems blossoming
Page 27 and 28: NVIDIA Fermi/GF100 • 3B transisto
Page 29 and 30: Early (Co-design) Success Stories C
Page 31 and 32: Hadron Polarizability in Lattice QC
Page 33 and 34: #5: PROGRAMMING SYSTEMS DOE CSGF HP
Page 35 and 36: State of Programming Systems • Co
Page 37 and 38: Is it possible to write one applica
Page 39 and 40: A concrete example… THE RECENT QU
Page 41 and 42: • Diverse industry participation
Page 43 and 44: Kernel Execution • Total number o
Page 45 and 46: Scalable HeterOgeneous Computing (S
Page 47 and 48: Example: Sparse Matrix Vector Multi
Page 49 and 50: GFLOPS Comparing CUDA and OpenCL 25
Page 51 and 52: MOVING BEYOND EXPLICIT PROGRAMMING
Page 53 and 54:
OpenMPC Approach • Use OpenMP for
Page 55 and 56:
OpenMPC Compilation System • Over
Page 57 and 58:
Performance of OpenMP Programs on C
Page 59 and 60:
#2: MEMORY BANDWIDTH AND CAPACITY D
Page 61 and 62:
• Exascale goals • Highlights f
Page 63 and 64:
Critical Concern : Memory Capacity
Page 65 and 66:
Memory Capacity DOE CSGF HPC Worksh
Page 67 and 68:
Opportunities go far beyond a plugi
Page 69 and 70:
Maestro • Portability • Load ba
Page 71 and 72:
Maestro : Autotuning Workgroups DOE
Page 73 and 74:
PERFORMANCE AND CORRECTNESS DOE CSG
Page 75:
Vancouver: Integrated Performance A
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