We have developed a set of performance prediction tools which help to estimate the achievable speedups from parallelizing a sequential simulation. The tools focus on two important...
We describe the design and current status of our effort to implement the programming model of nested data parallelism into the Glasgow Haskell Compiler. We extended the original p...
Manuel M. T. Chakravarty, Roman Leshchinskiy, Simo...
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Some of the most common parallel programming idioms include locks, barriers, and reduction operations. The interaction of these programming idioms with the multiprocessor's c...
Ricardo Bianchini, Enrique V. Carrera, Leonidas I....
— Achieving high performance for out-of-core applications typically involves explicit management of the movement of data between the disk and the physical memory. We are developi...
Sriram Krishnamoorthy, Juan Piernas, Vinod Tippara...