Your English writing platform
Discover LudwigExact(60)
The plot compares the parallelized and new implemented code in the affyPara package running on one processor to the execution time on two to twenty processors.
These datasets are small, and we can compress and reconstruct them on one processor.
MPI (although CESM does not absolutely require it for running on one processor).
The authors also advise to execute the parallel algorithm on one processor to obtain the sequential times.
With optimizations for best cache use and vectorization, we improve the performance on one processor core up to a factor of 10.
Grouping allocates loop and function bodies on one processor and bundling combines messages with the same sender and receiver into one.
> Finally, the overall computing times for emBayesR, BayesR and fastBayesB with the same implementation (each trait on one processor) were compared.
Applying the extended MST approach to the complete Bootstrap network took < 3 min on one processor of an Intel Core2Duo with 2.4 GHz.
For example, consider one huge string S. The performance will be limited by the time for processing this string on one processor.
That is, n processors of fixed size and cost provide n times the throughput of one processor, on the same problem instance, with no increase in memory bandwidth.
In other words, a single string is not processed on more than one processor.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com