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Comparison of High Level FPGA Hardware Design for Solving Tri-diagonal Linear Systems

机译:解决三对角线性系统的高级FPGA硬件设计的比较

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Reconfigurable computing devices can increase the performance of compute intensive algorithms by implementing application specific co-processor architectures. The power cost for this performance gain is often an order of magnitude less than that of modern CPUs and GPUs. Exploiting the potential of reconfigurable devices such as Field-Programmable Gate Arrays (FPGAs) is typically a complex and tedious hardware engineering task. Recently the major FPGA vendors (Altera, and Xilinx) have released their own high-level design tools, which have great potential for rapid development of FPGA based custom accelerators. In this paper, we will evaluate Altera's OpenCL Software Development Kit, and Xilinx's Vivado High Level Sythesis tool. These tools will be compared for their performance, logic utilisation, and ease of development for the test case of a tri-diagonal linear system solver.
机译:可重新配置的计算设备可以通过实现特定于应用程序的协处理器体系结构来提高计算密集型算法的性能。这种性能提升的功耗通常比现代CPU和GPU少一个数量级。挖掘诸如现场可编程门阵列(FPGA)之类的可重新配置设备的潜力通常是一项复杂而乏味的硬件工程任务。最近,主要的FPGA供应商(Altera和Xilinx)发布了自己的高级设计工具,这些工具对于快速开发基于FPGA的定制加速器具有巨大的潜力。在本文中,我们将评估Altera的OpenCL软件开发套件和Xilinx的Vivado高级合成工具。将比较这些工具的性能,逻辑利用率以及三对角线性系统求解器测试用例的易于开发性。

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