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» A distributed machine learning framework
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IPPS
2009
IEEE
14 years 4 months ago
Building a parallel pipelined external memory algorithm library
Large and fast hard disks for little money have enabled the processing of huge amounts of data on a single machine. For this purpose, the well-established STXXL library provides a...
Andreas Beckmann, Roman Dementiev, Johannes Single...
IPPS
2006
IEEE
14 years 4 months ago
MT-ClustalW: multithreading multiple sequence alignment
ClustalW is the most widely used tool for aligning multiple protein or nucleotide sequences. The alignment is achieved via three stages: pairwise alignment, guide tree generation ...
K. Chaichoompu, Surin Kittitornkun, Sissades Tongs...
IEEEPACT
1998
IEEE
14 years 2 months ago
A Matrix-Based Approach to the Global Locality Optimization Problem
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
ICPADS
2010
IEEE
13 years 8 months ago
Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks
Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. Whe...
Gengbin Zheng, Gagan Gupta, Eric J. Bohm, Isaac Do...
HPCA
2003
IEEE
14 years 10 months ago
Tradeoffs in Buffering Memory State for Thread-Level Speculation in Multiprocessors
Thread-level speculation provides architectural support to aggressively run hard-to-analyze code in parallel. As speculative tasks run concurrently, they generate unsafe or specul...
María Jesús Garzarán, Milos P...