A GaAs vector processor based on parallel RISC microprocessors

T. A. Misko, T.L. Rasset
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Abstract

A vector processor architecture based on the development of a 32-bit microprocessor using gallium arsenide (GaAs) technology has been developed. The McDonnell Douglas vector processor (MVP) will be fabricated completely from GaAs digital integrated circuits. The MVP architecture includes a vector memory of 1 megabyte, a parallel bus architecture with eight processing elements connected in parallel, and a control processor. The processing elements consist of a reduced instruction set CPU (RISC) with four floating-point coprocessor units and necessary memory interface functions. This architecture has been simulated for several benchmark programs including complex fast Fourier transform (FFT), complex inner product, trigonometric functions, and sort-merge routine. The results of this study indicate that the MVP can process a 1024-point complex FFT at a speed of 112 mu s (389 megaflops) while consuming approximately 618 W of power in a volume of approximately 0.1 ft/sup 3/.<>
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基于并行RISC微处理器的GaAs矢量处理器
在开发32位砷化镓微处理器的基础上,提出了一种矢量处理器体系结构。McDonnell Douglas矢量处理器(MVP)将完全由GaAs数字集成电路制造。MVP架构包括1兆字节的矢量存储器、8个处理单元并行连接的并行总线架构和一个控制处理器。处理单元由一个精简指令集CPU (RISC)和四个浮点协处理器单元以及必要的内存接口功能组成。该体系结构已在复杂快速傅里叶变换(FFT)、复杂内积、三角函数和排序归并程序等多个基准程序中进行了仿真。这项研究的结果表明,MVP可以以112 μ s(389兆次浮点运算)的速度处理1024点的复杂FFT,而在大约0.1英尺/sup的体积中消耗大约618瓦的功率。
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