基于NISC的自定义处理器设计:以DCT算法为例

B. Gorjiara, D. Gajski
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引用次数: 20

摘要

设计特定于应用程序的指令集处理器(asip)通常需要设计自定义数据路径,并修改指令集、指令解码器和编译器。asip的一个新的替代方案是无指令集计算机(NISCs),它通过将程序直接编译到给定的数据路径来消除指令抽象。编译器分析数据路径,提取可能的操作和数据流。NISC方法简化并加速了定制处理器设计的任务。在本文中,我们提出了一个为二维DCT算法设计自定义数据路径的案例研究。我们应用了软件转换、操作链、数据路径流水线、控制器流水线和功能单元定制等优化技术来提高设计质量。大多数技术都是通用的,可以应用于其他应用程序。在Xilinx FPGA上合成我们的最终定制数据路径的结果显示,与软核MIPS实现相比,性能提高了7.14倍,功耗降低了1.64倍,节能12.5倍,面积减少了3倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Custom processor design using NISC: a case-study on DCT algorithm
Designing application-specific instruction-set processors (ASIPs) usually requires designing a custom datapath, and modifying instruction-set, instruction decoder, and compiler. A new alternative to ASIPs is no-instruction-set-computers (NISCs) that eliminate the instruction abstraction by compiling programs directly to a given datapath. The compiler analyzes the datapath and extracts possible operations and data flows. The NISC approach simplifies and accelerates the task of custom processor design. In this paper, we present a case-study of designing a custom datapath for a 2D DCT algorithm. We applied several optimization techniques such as software transformations, operation chaining, datapath pipelining, controller pipelining, and functional unit customization to improve the quality of the design. Most of the techniques are general and can be applied to other applications. The result of synthesizing our final custom datapath on a Xilinx FPGA shows 7.14 times performance improvement, 1.64 times power reduction, 12.5 times energy savings, and more than 3 times area reduction compared to a softcore MIPS implementation.
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