FPGAs vs. CPUs: trends in peak floating-point performance Export

@inproceedings{citeulike:209323, abstract = {Moore's Law states that the number of transistors on a device doubles every two years; however, it is often (mis)quoted based on its impact on CPU performance. This important corollary of Moore's Law states that improved clock frequency plus improved architecture yields a doubling of CPU performance every 18 months. This paper examines the impact of Moore's Law on the peak floating-point performance of FPGAs. Performance trends for individual operations are analyzed as well as the performance trend of a common instruction mix (multiply accumulate). The important result is that peak FPGA floating-point performance is growing significantly faster than peak floating-point performance for a CPU.}, address = {New York, NY, USA}, author = {Underwood, Keith}, booktitle = {FPGA '04: Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays}, citeulike-article-id = {209323}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=968305}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/968280.968305}, doi = {10.1145/968280.968305}, isbn = {1581138296}, keywords = {architecture\_comparison, dsp\_on\_fpga, floating\_point, fpga, fpgas\_in\_hep, fpgasupercomputing, high-performance\_computing}, pages = {171--180}, posted-at = {2009-04-15 11:37:02}, priority = {2}, publisher = {ACM Press}, title = {FPGAs vs. CPUs: trends in peak floating-point performance}, url = {http://dx.doi.org/10.1145/968280.968305}, year = {2004} }

TY - CONF ID - citeulike:209323 L3 - citeulike-article-id:209323 N2 - Moore's Law states that the number of transistors on a device doubles every two years; however, it is often (mis)quoted based on its impact on CPU performance. This important corollary of Moore's Law states that improved clock frequency plus improved architecture yields a doubling of CPU performance every 18 months. This paper examines the impact of Moore's Law on the peak floating-point performance of FPGAs. Performance trends for individual operations are analyzed as well as the performance trend of a common instruction mix (multiply accumulate). The important result is that peak FPGA floating-point performance is growing significantly faster than peak floating-point performance for a CPU. SN - 1581138296 AD - New York, NY, USA EP - 180 TI - FPGAs vs. CPUs: trends in peak floating-point performance PB - ACM Press T2 - FPGA '04: Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays SP - 171 KW - architecture_comparison KW - dsp_on_fpga KW - floating_point KW - fpga KW - fpgas_in_hep KW - fpgasupercomputing KW - high-performance_computing AU - Underwood, Keith PY - 2004/// UR - http://dx.doi.org/10.1145/968280.968305 ER -