CUDA and MPI

ePAPER READ

DOWNLOAD ePAPER

ft.ornl.gov

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

START NOW

There’s No Easy Answer Here….Memory hierarchies are getting deeper, uniformity is decreasingPortable Hardware Locality (hwloc)NUMA placement (SLURM spank, some <strong>MPI</strong>s)

CBTF - The ORNL Future Technologies Group - Oak Ridge National ...

SHOC: The Scalable HeterOgeneous Computing Benchmark Suite

CV (last updated 1/2012) - The ORNL Future Technologies Group

Material Interface Reconstruction in VisIt

Guide to Short-Term Housing - Oak Ridge National Laboratory

Characterization of Scientific Workloads on Systems with Multi-Core ...

And More TopologyMemoryMemoryMemoryMemoryCPUCPUCPUCPUChipsetChipsetGPUGPU11.0 GB/s7.4 GB/s

There’s No Easy Answer Here….Memory hierarchies are getting deeper, uniformity is decreasingPortable Hardware Locality (hwloc)NUMA placement (SLURM spank, some <strong>MPI</strong>s)

Page 1 and 2: CUDA and MPIDale SouthardSenior Sol
Page 3 and 4: What You’ve Learned So Far….Use
Page 5 and 6: Zero-Copy Memory before CUDA 4.0Sin
Page 7 and 8: The DMA/RDMA ProblemCUDA driver all
Page 9 and 10: What is GPUDirect?GPUDirect is an u
Page 11 and 12: 1GPUDirect v1CPUChipsetGPUInfiniBan
Page 13 and 14: No-copy Pinning of System MemoryRed
Page 15 and 16: Unified Virtual AddressingEasier to
Page 18 and 19: Multiple GPUs Before NVIDIA GPUDire
Page 20 and 21: GPUDirect v2.0: Peer-to-Peer Commun
Page 22 and 23: Topology and Locality

CUDA and MPI

Create successful ePaper yourself

Delete template?

Save as template?