University of Edinburgh（爱丁堡大学）

DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format

DISCA：一种基于压缩弯金字塔格式的数字存内随机计算架构

Shady Agwa, Yikang Shen, Shiwei Wang, Themis Prodromakis

机构 * 1 Centre for Electronics Frontiers, Institute for Integrated Micro ； Nano Systems, School of Engineering, The University of Edinburgh, UK. ； 2 Electrical \& Electronics Engineering, Queen's University Belfast, UK. 纠错

AI总结 本文提出DISCA，一种基于压缩弯金字塔格式的数字存内随机计算架构，旨在提升大规模AI模型矩阵乘法任务的能量效率。

Comments This work has been accepted for publication in the 2025 37th International Conference on Microelectronics (ICM)

Journal ref 2025 37th International Conference on Microelectronics (ICM)

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads

OISMA：面向矩阵乘法工作负载的实时内存随机乘法架构

Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis

机构 * Centre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh（电子前沿中心，集成微纳系统研究所，工程学院，爱丁堡大学） 纠错

AI总结 OISMA通过在内存中进行随机乘法运算，实现高效的矩阵乘法计算，其在能效和面积效率上优于传统架构。

Comments This work has been accepted for publication by the IEEE Journal on Exploratory Solid-State Computational Devices and Circuits

Journal ref IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 2026