Gather and scatter are data redistribution functions of longstanding importance to high performance computing. In this paper, we present a highly-general array operator with power...
Steven J. Deitz, Bradford L. Chamberlain, Sung-Eun...
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matc...
Toralf Kirsten, Lars Kolb, Michael Hartung, Anika ...
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...