Parallel programming is elusive. The relative performance of di erent parallel implementations varies with machine architecture, system and problem size. How to compare di erent i...
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Experimental data validating some of the proposed parallel computation models on the Intel Paragon is presented. This architecture is characterized by a large bandwidth and a rela...
Abstract— In this paper, we propose a sub-operation parallelism optimization algorithm in SIMD processor synthesis. Given an initial assembly code and timing constraints, our alg...
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 ...