Haskell on a SharedMemory Multiprocessor. Pages 49–61 of (2005)
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| Venue: | Proceedings of the ACM SIGPLAN Workshop on |
| Citations: | 4 - 0 self |
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@INPROCEEDINGS{Harris05haskellon,
author = {Tim Harris and Simon Marlow and Simon Peyton Jones},
title = {Haskell on a SharedMemory Multiprocessor. Pages 49–61 of},
booktitle = {Proceedings of the ACM SIGPLAN Workshop on},
year = {2005},
publisher = {Haskell. ACM Press}
}
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Abstract
Categories and Subject Descriptors D.3.2 [Language Classifica-tions]: Applicative (functional) languages General Terms Languages, Performance 1. Introduction For many years the easiest approach to getting software to gofaster has been to sit around and save up for a new machine (and then preferably run the old software on it). It is becoming clear,however, that this free lunch is over [22]. Processor manufacturers have stopped struggling to push clock speeds much further, and areturning their attention to parallelism instead. Multi-core processors, with several symmetric processing cores on a single chip, will bethe norm in consumer machines within the next 1-2 years. The software challenge is to take advantage of this extra processingpower through parallelism.
