Title :
Compute Unified Device Architecture Application Suitability
Author :
Hwu, Wen-Mei ; Rodrigues, Christopher ; Ryoo, Shane ; Stratton, John
Author_Institution :
Univ. of Illinois, Urbana, IL
Abstract :
Graphics processing units (GPUs) can provide excellent speedups on some, but not all, general-purpose workloads. Using a set of computational GPU kernels as examples, the authors show how to adapt kernels to utilize the architectural features of a GeForce 8800 GPU and what finally limits the achievable performance.
Keywords :
microprocessor chips; Nvidia GeForce 8800 GTX GPU; general-purpose workloads; graphics processing units; unified device architecture; Central Processing Unit; Computer architecture; Costs; Graphics; Hardware; Kernel; Multicore processing; Parallel processing; Phased arrays; Yarn; CUDA; GPGPU; benchmarks; compute unified device architecture; computer architecture; general-purpose computing on GPU; software optimization;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2009.48
