Performance evaluation of throughput computing workloads using multi-core processors and graphics processors

[摘要] Current trend in processor manufacturing focuses on multi-core architectures rather than increasing the clock speed for performance improvement. Graphic processors have become as commodity hardware for providing fast co-processing in computer systems. Developments in IoT, social networking web applications, big data created huge demand for data processing activities and such kind of throughput intensive applications inherently contains data level parallelism which is more suited for SIMD architecture based GPU. This paper reviews the architectural aspects of multi/many core processors and graphics processors. Different case studies are taken to compare performance of throughput computing applications using shared memory programming in OpenMP and CUDA API based programming.

[发布机构] School of Computer Engineering, VIT University, Vellore; 632014, India^1

[效力级别] 工业技术

[关键词] Data-level parallelism;Multi-core processor;Multicore architectures;Performance evaluations;Performance improvements;Processing activity;Shared memory programming;Throughput computing