3DL-PIM:基于三维堆叠存储器的面向查找表的内存可编程处理架构,适用于数据密集型应用

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Purab Ranjan Sutradhar;Sathwika Bavikadi;Sai Manoj Pudukotai Dinakarrao;Mark A. Indovina;Amlan Ganguly
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引用次数: 0

摘要

与最先进的 CPU 和 GPU 相比,以内存为中心的计算系统在内存密集型应用中表现出卓越的性能和效率。与传统的二维内存架构相比,三维堆叠 DRAM 架构可释放更高的 I/O 数据带宽,因此更适合集成以内存为中心的处理器。然而,仅仅在三维堆叠内存中集成高精度 ALU 并不能确保设计的优化,因为这样的设计只能实现有限的内存芯片内部带宽利用率和有限的操作并行化。针对这一问题,我们提出了基于三维堆叠内存的内存中处理(PIM)架构--3DL-PIM,该架构将多个基于查找表(LUT)的低脚本处理单元(PE)置于内存库中,通过最大限度地利用数据带宽来实现高并行计算性能。PE 不依赖于传统的基于逻辑的 ALU,而是由一组可编程 LUT 组成,因此可以通过即时编程来执行各种逻辑/算术运算。我们的模拟结果表明,与最先进的基于内存的三维堆叠加速器相比,3DL-PIM 的处理性能最多可提高 2.6 倍,而面积效率却提高了 2.65 倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications
Memory-centric computing systems have demonstrated superior performance and efficiency in memory-intensive applications compared to state-of-the-art CPUs and GPUs. 3-D stacked DRAM architectures unlock higher I/O data bandwidth than the traditional 2-D memory architecture and therefore are better suited for incorporating memory-centric processors. However, merely integrating high-precision ALUs in the 3-D stacked memory does not ensure an optimized design since such a design can only achieve a limited utilization of the internal bandwidth of a memory chip and limited operational parallelization. To address this, we propose 3DL-PIM, a 3-D stacked memory-based Processing in Memory (PIM) architecture that locates a plurality of Look-up Table (LUT)-based low-footprint Processing Elements (PE) within the memory banks in order to achieve high parallel computing performance by maximizing data-bandwidth utilization. Instead of relying on the traditional logic-based ALUs, the PEs are formed by clustering a group of programmable LUTs and therefore can be programmed on-the-fly to perform various logic/arithmetic operations. Our simulations show that 3DL-PIM can achieve respectively up to 2.6× higher processing performance at 2.65× higher area efficiency compared to a state-of-the-art 3-D stacked memory-based accelerator.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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