一句话：提出 SIMDRAM 框架，通过 MAJ/NOT 表示和 DRAM 命令序列，在 DRAM 中高效实现复杂及用户自定义的位串行 SIMD 操作。
Processing-using-DRAM 此前仅支持逻辑运算、加法等有限基本操作，为实现其广泛应用，必须支持更复杂的操作。本文提出 SIMDRAM，一个灵活通用的 processing-using-DRAM 框架，旨在高效实现复杂操作并支持任意用户自定义操作。框架包含三个关键步骤：首先为给定操作构建高效的 MAJ/NOT 表示；其次分配用于计算的 DRAM 行给输入输出操作数，并生成在 DRAM 中执行该 MAJ/NOT 实现所需的 DRAM 命令序列；最后利用内存控制器内的 SIMDRAM 控制单元管理操作的完整计算过程。论文设计了相应的硬件与 ISA 支持，以解决关键系统集成挑战，并允许程序员无需硬件改动即可使用新的 SIMDRAM 操作。摘要未提供具体评估结果。
Processing-using-DRAM has been proposed for a limited set of basic operations (i.e., logic operations, addition). However, in order to enable full adoption of processing-using-DRAM, it is necessary to provide support for more complex operations. In this paper, we propose SIMDRAM, a flexible general-purpose processing-using-DRAM framework that (1) enables the efficient implementation of complex operations, and (2) provides a flexible mechanism tosupport the implementation of arbitrary user-defined operations. The SIMDRAM framework comprises three key steps. The first step builds an efficient MAJ/NOT representation of a given desired operation. The second step allocates DRAM rows that are reserved for computation to the operation’s input and output operands, and generates the required sequence of DRAM commands to perform the MAJ/NOT implementation of the desired operation in DRAM. The third step uses the SIMDRAM control unit located inside the memory controller to manage the computation of the operation from start to end, by executing the DRAM commands generated in the second step of the framework. We design the hardware and ISA support for SIMDRAM framework to (1) address key system integration challenges, and (2) allow programmers to employ new SIMDRAM operations without hardware changes.
@inproceedings{paperbot6155,
title = {SIMDRAM: a framework for bit-serial SIMD processing using DRAM},
author = {Nastaran Hajinazar and Geraldo F. Oliveira and Sven Gregorio and João Dinis Ferreira and Nika Mansouri Ghiasi and Minesh Patel and Mohammed Alser and Saugata Ghose and Juan Gómez-Luna and Onur Mutlu},
booktitle = {ASPLOS},
year = {2021},
doi = {10.1145/3445814.3446749}
}