Research Shared Variable Parallel Computation on CC-NUMA System
Yinan Xu · Jisuanji gongcheng · 2004
This paper discusses how to improve the shared variable program performance on CC-NUMA parallel computer. It provides several effective methods of load balancing and reducing shared memory access latency. Through the analysis, it can conclude that the shared variable program will has a high performance if it uses a properly optimization method.