Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform regularity of dense linear algebra, sparse operations enc...
It is well-known that varying architectural, technological and implementation aspects of embedded microprocessors, such as ARM, can produce widely differing performance and power ...
To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...
The explosive growth in integration technology and the parallel nature of rasterization-based graphics APIs changed the panorama of consumer-level graphics: today, GPUs are cheap,...