You are seeing Ask web results for stream parallelism because there was not a match on Dictionary.com.
Related searches for stream parallelism
   
More related searches »
Stream processing - Wikipedia, the free encyclopedia
Stream processing is a computer programming paradigm, related to SIMD, that allows some applications to more easily exploit a limited form of parallel processing. Such applications can use multiple c...
en.wikipedia.org/wiki/Stream_processing
Stream parallelism allows parallel programs to exploit the potential of executing different ... Stream parallelism can also exploit the concurrent eval- ...
www.springerlink.com/index/V9KCA1UKPWK8AAVE.pdf
CiteSeerX - Document Details (Isaac Councill, Lee Giles): We discuss the properties of the composition of stream parallel skeletons such as pipelines and ...
citeseer.ist.psu.edu/271334.html
Single instruction stream parallelism is greater than two. Full text, Pdf (1.22 MB). Source, International Symposium on Computer Architecture archive ...
portal.acm.org/citation.cfm?id=115952.115980
Optimising Skeletal-Stream Parallelism on a BSP Computer. Source, Lecture Notes In Computer Science; Vol. 1685 archive. Proceedings of the 5th International ...
portal.acm.org/citation.cfm?id=700314
Single instruction stream parallelism is greater than two. Butler, M. Tse-Yu Yeh Patt, Y. Alsup, M. Scales, H. Shebanow, M. The University of Michigan; ...
ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1021620
Stream programming simplifies the exploitation of both parallelism and locality. A stream program naturally exposes parallelism across stream elements and kernels. Locality is also exposed - both within and between kernels.
www.csail.mit.edu/events/DLStalks/dlsdally07.html
Stream processing - Data dependencies and parallelism ... Stream processing, Stream processing - Comparison with previous parallel paradigms, Stream processing - Conventional sequential paradigm, Stream processing - Data dependencies and parallelism, Stream processing - Generic processor architecture,
www.experiencefestival.com/stream_processing_-_data_dep... www.experiencefestival.com/stream_processing_-_data_dependencies_and_parallelism
We will focus on Raw's ability to support a diverse set of applications (ranging from desktop to embedded workloads) and multiple forms of parallelism (including instruction-level parallelism (ILP) for desktop applications, and stream parallelism for embedded computing) as represented by the VersaBench suite.
www.stormingmedia.us/16/1613/A161334.html
NC STATE UNIVERSITY. Retention-Aware Placement in DRAM (RAPID): Software Methods for. Quasi-Non-Volatile DRAM. Center for Embedded Systems Research (CESR) ...
www.tinker.ncsu.edu/ericro/talks/conference_HPCA-12.ppt