Case study of the pipelined arithmetic unit for the TI Advanced Scientific Computer

Charles Stephenson
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引用次数: 3

Abstract

Introduction Many scientific applications today require computers which are very fast and capable of processing large amounts of data. Some advances in scientific processing have been slowed due to the lack of supercomputer capabilities which are required primarily in the area of Central Processor speed and the availability of large amounts of high speed memory. Particularly in the fields of modeling and simulation, additional speed and memory capacity are desired to allow increased resolution of the experiment. Technological developments in such things as integrated circuits, multilayer printed circuit boards, memory speeds, and others have contributed to the ability of computer manufacturers to serve this market. In addition to these developments, however, large advances had to be realized from the standpoint of the basic computer architecture. The concept of pipelining has provided an answer to the large data execution rate required. Pipelined capabilities in the form of arithmetic units and special purpose functional units are included in machines such as the CEC7600, IBM 360/195, CDC STAR-100, etc.1,2 The Texas Instruments Advanced Scientific Computer (ASC) uses the pipeline concept throughout the Central Processor and carries the concept throughout the Central Processor and carries the concept further to include vector instructions in response to the high execution rates required.3
TI高级科学计算机中流水线运算单元的实例研究
当今许多科学应用都需要速度非常快、能够处理大量数据的计算机。由于缺乏超级计算机的能力,科学处理的一些进展已经放缓,而超级计算机的能力主要是在中央处理器的速度和大量高速存储器的可用性方面所需要的。特别是在建模和仿真领域,需要额外的速度和内存容量来提高实验的分辨率。集成电路、多层印刷电路板、存储器速度等方面的技术发展有助于计算机制造商服务于这一市场的能力。然而,除了这些发展之外,从基本计算机体系结构的角度来看,还必须实现巨大的进步。流水线的概念为所需的大数据执行速率提供了答案。以算术单元和特殊用途功能单元形式的流水线能力包括在诸如CEC7600, IBM 360/195, CDC STAR-100等机器中。1,2德州仪器高级科学计算机(ASC)在整个中央处理器中使用流水线概念,并在整个中央处理器中携带该概念,并进一步携带该概念,以响应高执行速率要求,包括矢量指令
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