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Exploring the Viability of Hybrid Programming for Exascale Architectures

This panel discussion, moderated by Pavan Balaji from Argonne National Laboratory, brings together experts to explore whether hybrid programming is a viable solution for future exascale systems. Panelists, including researchers from prominent institutions, discuss architectural constraints, cost implications, and the challenges of programming in a hybrid landscape. Key questions include the necessity of advocating hybrid architectures, the potential for high-level programming models, and whether this evolution is beneficial or fraught with complications. Join us as we delve into the future of computing.

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Exploring the Viability of Hybrid Programming for Exascale Architectures

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  1. Is Hybrid Programming a Bad Idea Whose Time Has Come? Panel Moderator: PavanBalaji, Argonne National Laboratory Panelists: TaisukeBoku, University of Tsukuba Allen Malony, University of Oregon Bronis de Supinski, Lawrence Livermore National Laboratory VinodTipparaju, Oak Ridge National Laboratory Vijay Saraswat, IBM Research

  2. Architectural Constraints at the Exascale • Two primary constraints: • Upfront cost • Maintenance cost • Power < 100MW (including cooling and storage) • 100-1000 times more power efficient that current petascale systems • Cost and Size • 100-1000 racks P2S2 2010 Panel (09/13/2010)

  3. Two possible approaches to build Exaflop Systems [Courtesy William Gropp, UIUC] • Lots of light-weight cores • In-order execution (no speculation hardware) • Small caches • No hardware cache coherency • Heterogeneous cores • General purpose processors + GPGPUs • More tightly integrated heterogeneous processors are coming P2S2 2010 Panel (09/13/2010)

  4. How do we program these systems? • Single programming model everywhere • Expressing algorithms in a high-level model so that the same application can work on hybrid architectures unchanged • Can we make these models rich enough to work on current and future architectures? • Hybrid programming models • Explicitly allow applications to deal with the architectural hybridness • Application programs to be modified for nested parallelism • Multi-programming model interaction is tough • Performance and debugging tools, incompatible runtime systems • Performance implications • Resource sharing interactions P2S2 2010 Panel (09/13/2010)

  5. Questions to Panelists • While hybrid architectures are upon us, are we equipped to deal with them? • Specific questions: • Has the time for hybrid programming come? • Do we need to expose hybrid architectures to applications and let them deal with it? • Can we design high-level programming models, performance/debugging tools and runtime systems that can effectively abstract such architectural hybridness from the applications? • Is it a good idea? • “It is needed” does not necessarily mean “it is a good idea” • Is this the next step in our natural evolution or is it a terrible but necessary evil? P2S2 2010 Panel (09/13/2010)

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