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Speculative software parallelism has gained renewed interest recently as a mechanism to leverage multiple cores on emerging architectures.
What if you could put multiple cores on a single level and then reconfigure the wiring between that chip and the one above it?
MPSoC platforms offer solutions to deal with communication limitations for multiple cores on single chip, but many new issues arise within the context.
And not to be left out, IBM has begun creating bundles that stretch from the hardware again utilizing multiple cores on a chip all the way into the implementation of the software.
In our experimental setup, we have machines with multiple cores on CPU itself, so we can make part of algorithm to use CPU multi-threading environment and gain better results.
This program can be run on a single processing core or can run on multiple cores on a single computing node using the multithreading capabilities of PSI-BLAST (sequence searching) and PROSPECT II (fold recognition/threading).
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To benchmark performance we run all-to-all PSC using different methods on a single and on multiple cores of the SCC.
With these features, it is possible to run several MATLAB instances in parallel on the multiple cores of a modern CPU.
Others are implementing ideas that seem parallel (so to speak) to this one: multiple cores, specialty on-call silicon, and ARM's big-little chips.
So they've added lots of cores that run no faster than a single core (and often much slower), using the sum of the performance on multiple cores to achieve increases in performance.
The doParallel 18 package and its dependencies, foreach 19 (for creating a loop structure) and parallel, 6 can assign multiple cores to a function on both Windows and Unix-like platforms (such as Mac OS X).
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