We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
A number of biological applications require comparison of large genome strings. Current techniques suffer from both disk I/O and computational cost because of extensive memory req...
Abstract. This paper describes performance of OSCAR multigrain parallelizing compiler on various SMP servers, such as IBM pSeries 690, Sun Fire V880, Sun Ultra 80, NEC TX7/i6010 an...
Kazuhisa Ishizaka, Takamichi Miyamoto, Jun Shirako...