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Future Challenges of Large-Scale Computing

HPC Wire (04/15/13)

NVIDIA chief scientist Bill Dally says in an interview that similar  processor requirements in high-performance computing, Web servers, and big data  will lead to a convergence on heterogeneous multicore processors where each  socket will feature a small number of cores optimized for latency and many more cores optimized for throughput. Dally predicts that three-dimensional stacked chip technology will be essential to the extension of high-bandwidth on-package memory capacity. With budget austerity likely to cut U.S. government investments in exascale computing, Dally projects that industry will continue to move ahead in this field on its own, although at a much slower pace. He also is hopeful that the challenge of achieving sustained exaflops on a real application in 20 MW will be met, thanks to numerous emerging circuit, architecture, and software technologies that could potentially enhance the energy efficiency of one or more parts of the system. Dally perceives energy efficiency and programmability as the two biggest challenges to reaching exascale. He notes that research projects are underway to devise more productive programming systems and the tools that will enable automated mapping and tuning.



One Response

  1. Aw, this was a really good post. Spending some time and actual effort to produce a great article… but
    what can I say… I hesitate a lot and don’t manage to get nearly anything done.

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