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Harnessing massive parallelism in the era of parallelism for the masses
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International Conference on Supercomputing archive
Proceedings of the 21st annual international conference on Supercomputing table of contents
Seattle, Washington
Pages: 2 - 2  
Year of Publication: 2007
ISBN:978-1-59593-768-1
Author
Craig Stunkel  IBM Research
Sponsor
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

As we embrace this new era of multicore and heterogeneous processors, we find ourselves ill-equipped to leverage the full potential of increasing parallelism. There are no widely-adopted parallel programming languages. With massive datasets, the growing importance of sensor-based systems, and increasingly large data models the I/O wall is looking more daunting than the memory wall. Current high-end software technology is not easily used by non-sophisticated developers.