FPGAs vs. CPUs 论文
2004引用 248
Numerical Methods and AlgorithmsLow-power high-performance VLSI designParallel Computing and Optimization Techniques
详细信息
- 发表日期
- 2004-02-22
- 发表年份
- 2004
关键词
Numerical Methods and AlgorithmsLow-power high-performance VLSI designParallel Computing and Optimization Techniques
摘要
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.