Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC

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Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC • Rob Farber, Pacific Northwest National Laboratory • Song Park, Army Research Laboratory • Nash Palaniswamy, Intel • Dave Wallace, Cray • Stan Posey, Nvidia • Guang Gao, ET International • Michael Houston, AMD

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Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC. Rob Farber, Pacific Northwest National Laboratory Song Park, Army Research Laboratory Nash Palaniswamy, Intel Dave Wallace, Cray Stan Posey, Nvidia Guang Gao, ET International Michael Houston, AMD. - PowerPoint PPT Presentation

Transcript of Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC

Page 1: Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC

Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in

HPC • Rob Farber, Pacific Northwest National Laboratory • Song Park, Army Research Laboratory • Nash Palaniswamy, Intel • Dave Wallace, Cray • Stan Posey, Nvidia • Guang Gao, ET International • Michael Houston, AMD

Page 2: Alternative Processors, Heterogeneous Multi-Core and GPGPU Computing in HPC

Questions for panel1 Looking forward in the 2-5 year time frame will we continue to need

new languages, compiler directives, or language extensions to use accelerators or will compiler technology advance sufficiently to seamlessly use accelerators as when the 8087 was added to the 8086 in the early days of the x86 architecture or when instruction sets were extended to include SSE or AltiVec and compilers eventually generated code for them?

2 What is your vision of what a unified Heterogeneous HPC ecosystem should encompass? What Languages, Libraries, frameworks? Should debuggers and profiling tools be integrated across heterogeneous architectures?

3 Will we need need a whole new computational execution model for Exascale systems Eg. something like ParalleX ?

4 Questions from the floor