Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Fast hardware turnover in supercomputing centers, stimulated by rapid technological progress, results in high heterogeneity among HPC platforms, and necessitates that applications...
The purpose of this study is to measure the impact of C level code polynomial arithmetic on the performances of AXIOM highlevel algorithms, such as polynomial factorization. More p...
Abstract: In recent works for high performance computing, computation with DNA molecules, that is, DNA computing, has considerable attention as one of nonsilicon based computings. ...
This paper discusses the research initiatives and programs supported by the National Science Foundation to promote high-end computing and largescale networking. This work mainly fa...