Harmonica: An FPGA-Based Data Parallel Soft Core

C. Kersey, S. Yalamanchili, Hyojong Kim, Nimit Nigania, Hyesoon Kim
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引用次数: 4

Abstract

General-purpose GPUs or GPGPUs have taken their place in the market, being present in 38 of the Top 500 supercomputers [5]. In the same way that the emergence of FPGAs in the 1980s led to a demand for soft cores with instruction sets similar to the CPUs of the day, we anticipate a similar demand in the 2010s for soft cores with GPGPU instruction sets. These architectures are distinguished by their SIMT, single-instruction-multiple-thread, execution model, acheiving throughput by running multiple threads of execution simultaneously across multiple functional units, keeping separate register values for each lane of execution.
口琴:基于fpga的数据并行软核
通用gpu或gpgpu已经在市场上占据了一席之地,在500强超级计算机中有38台是通用gpu[5]。就像20世纪80年代fpga的出现导致对具有类似于当时cpu的指令集的软核的需求一样,我们预计2010年代对具有GPGPU指令集的软核的需求也会类似。这些体系结构的特点是它们的SIMT(单指令多线程)执行模型,通过在多个功能单元上同时运行多个执行线程来实现吞吐量,并为每个执行通道保留单独的寄存器值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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