WoTUG - The place for concurrent processes

Paper Details

@InProceedings{Jones13,
  title = "{A} {P}ersonal {P}erspective on the {S}tate of {HPC} in 2013",
  author= "Jones, Christopher C.R.",
  editor= "Welch, Peter H. and Barnes, Frederick R. M. and Broenink, Jan F. and Chalmers, Kevin and Pedersen, Jan B√¶kgaard and Sampson, Adam T.",
  pages = "263--270",
  booktitle= "{C}ommunicating {P}rocess {A}rchitectures 2013",
  isbn= "978-0-9565409-7-3",
  year= "2013",
  month= "nov",
  abstract= "This paper is fundamentally a personal perspective on the
     sad state of High Performance Computing (HPC, or what was
     known once as Supercomputing). It arises from the author's
     current experience in trying to find computing technology
     that will allow codes to run faster: codes that have been
     painstakingly adapted to efficient performance on parallel
     computing technologies since around 1990, and have allowed
     effective 10-fold increases in computing performance at
     5 year HPC up-grade intervals, but for which the latest
     high-count multi-core processor options fail to deliver
     improvement. The presently available processors may as well
     not have the majority of their cores as to use them actually
     slows the code - hard-won budget must be squandered on cores
     that will not contribute. The present situation is not
     satisfactory: there are very many reasons why we
     need computational response, not merely throughput. There
     are a host of cases where we need a large, complex
     simulation to run in a very short time. A simplistic
     calculation based on the nominal performance of some of the
     big machines with vast numbers of cores would lead one
     to believe that such rapid computation would be possible.
     The nature of the machines and the programming paradigms,
     however, remove this possibility. Some of the ways in which
     the computer science community could mitigate the hardware
     shortfalls are discussed, with a few more off the wall ideas
     about where greater compute performance might be found."
}

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