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...
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
Recent research shows that animals can be guided remotely by stimulating regions of the brain. Therefore, it is possible to set up an animal wireless sensor network for search and...
Iterative stencil loops (ISLs) are used in many applications and tiling is a well-known technique to localize their computation. When ISLs are tiled across a parallel architecture...
— General purpose architectures are designed to offer average high performance regardless of the particular application that is being run. Performance and power inefficiencies a...