Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...
As high performance clusters continue to grow in size, the mean time between failure shrinks. Thus, the issues of fault tolerance and reliability are becoming one of the challengi...
Scientific applications often need to access remote file systems. Because of slow networks and large data size, however, remote I/O can become an even more serious performance bot...
Jonghyun Lee, Robert B. Ross, Rajeev Thakur, Xiaos...
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of par...
Avery Ching, Alok N. Choudhary, Wei-keng Liao, Rob...