Improving energy, performance efficiency for high performance computing
Wednesday, April 8, 2015 - 05:30
in Mathematics & Economics
Shuaiwen Leon Song, a research scientist with PNNL's High Performance Computing group, and Chao Li, a Ph.D. student with North Carolina State University's Department of Electrical and Computer Engineering who spent time as a research intern at PNNL in 2014, are co-authors of, "Locality-Driven Dynamic GPU Cache Bypassing," which recently was accepted by the 29th International Conference on Supercomputing (ICS). The paper, which presents novel cache optimizations for massively parallel, throughput-oriented architectures, such as GPUs, will be presented during the ICS 2015 Conference Program.