论文标题
FPGA上的虚拟筛查：性能与精力与努力
Virtual Screening on FPGA: Performance and Energy versus Effort
论文作者
论文摘要
凭借其广泛的可用性，基于FPGA的加速器卡已成为GPU和CPU的替代品，可以在具有某些要求（例如能源效率）或属性（例如定点计算）的应用中加速计算。在本文中，我们显示了绘制用于几种类型的加速器的药物发现的工业应用程序的结果和经验。在性能和能源效率方面，与CPU和GPU相比，我们特别强调了FPGA的努力与利益。对于此应用，即使广泛使用FPGA特异性功能并执行不同的优化，在能量和性能方面，GPU的结果仍然更好。
With their widespread availability, FPGA-based accelerators cards have become an alternative to GPUs and CPUs to accelerate computing in applications with certain requirements (like energy efficiency) or properties (like fixed-point computations). In this paper we show results and experiences from mapping an industrial application used for drug discovery on several types of accelerators. We especially highlight the effort versus benefit of FPGAs compared to CPUs and GPUs in terms of performance and energy efficiency. For this application, even with extensive use of FPGA-specific features, and performing different optimizations, results on GPUs are still better, both in terms of energy and performance.
