基于内存处理的可编程查找表灵活指令集体系结构

Mark Connolly, Purab Ranjan Sutradhar, Mark A. Indovina, A. Ganguly
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引用次数: 1

摘要

内存处理(PIM)是一种新兴的计算范式,目前仍处于发展的初级阶段。因此,PIM设备缺乏标准化和模块化的指令集架构(ISA)。在这项工作中,我们提出了一个ISA的设计,主要针对最近基于可编程查找表(LUT)的PIM体系结构。我们的ISA执行三个主要任务:i)控制内存和PIM单元之间的数据流,ii)重新编程lut以执行特定应用程序所需的各种操作,以及iii)在PIM设备内执行连续的操作步骤。控制器/音序器单元的微编码架构确保最小的电路开销,并提供可编程性,以支持任何自定义操作。我们提供了一个CNN推理、大矩阵乘法和PIM架构上的位计算的案例研究,并基于此设置给出了性能评估。我们还将其性能与其他几种PIM体系结构进行了比较。
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Flexible Instruction Set Architecture for Programmable Look-up Table based Processing-in-Memory
Processing in Memory (PIM) is a recent novel computing paradigm that is still in its nascent stage of development. Therefore, there has been an observable lack of standardized and modular Instruction Set Architectures (ISA) for the PIM devices. In this work, we present the design of an ISA which is primarily aimed at a recent programmable Look-up Table (LUT) based PIM architecture. Our ISA performs the three major tasks of i) controlling the flow of data between the memory and the PIM units, ii) reprogramming the LUTs to perform various operations required for a particular application, and iii) executing sequential steps of operation within the PIM device. A microcoded architecture of the Controller/Sequencer unit ensures minimum circuit overhead as well as offers programmability to support any custom operation. We provide a case study of CNN inferences, large matrix multiplications, and bitwise computations on the PIM architecture equipped with our ISA and present performance evaluations based on this setup. We also compare the performances with several other PIM architectures.
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