Optimization of CPAPR for x64 multicore.

Allan, Benjamin A.

Sandia National Laboratories

关键词: Modifications;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Processing;    Optimization;    Algorithms;   

DOI  :  10.2172/1035321
RP-ID  :  SAND2011-9432
RP-ID  :  AC04-94AL85000
RP-ID  :  1035321

美国|英语

来源: UNT Digital Library

【 摘 要 】

I report the progress to date of my work on scaling the CPAPR algorithm and necessary supporting code to enable processing large (gigabyte to 100 gigabyte) data sets and benchmarking the same. Where possible, I also report background information possibly of relevance in future modifications of the code. The results include: minor repairs and additions to the TTB library for portability, algorithmic improvements relevant to both serial and multithreaded implementations, algorithmic improvements taking advantage of multithreading hardware, support library additions (binary IO routines) needed for efficiently and reproducibly benchmarking the algorithms. For this optimization work, no large scale data sets are available. Therefore, scalability of data synthesis algorithms is addressed as well.