【DAC2024】存内计算新进展 存内计算(Compute-in-Memory/Computing-in-memory,CIM)以在现代数据密集型工作负载应用程序中降低数据移动能量和延迟成本。DAC2024录用CIM相关文章16篇,主要分布在两大SESSION中,主要介绍了CIM在架构、电路、器件、设计方法的最新进展。 SESSION:MEMORIES HAVE A MIND OF THEIR OWN共录用了...
在不修改现有内存硬件的前提下，MVDRAM 仅利用手机、电脑等设备现有的存储硬件，即可实现存内计算。其推...
Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to provide sustainable improvements in computing throughput and energy efficiency. Underlying the different CIM schemes is the implementation of two kinds of computing primitive: logic gates and multiply–accumulate operat...
1. 行业概述 存算一体(Computing-in-Memory, CIM)技术是一种革命性的计算架构,通过将计算和存储功能集成在同一芯片中,解决了传统冯・诺依曼架构中的 “内存墙” 问题。随着人工智能、边缘计算和数据中心等领域的快速发展,存算一体技术因其高效能、低功耗的特点,成为未来计算架构的重要方向。 2. 市场驱动因素 2.1...
ISSCC2025 Computing-In-Memory Session 趋势整理 今天下午ISSCC 2025发布会开完,CIM Session花落谁家终于清楚了。今年CIM被放到了Session 14,共录取七篇,投稿数如果和去年差不多的话,那么录取率应该是进一步下降了(去年录取了九篇)。只能说体感上来说就明显越来越卷。
2、来自ISCA2016的一篇论文PRIME: A Novel Processing-in-memory Architecture for Neural Network Computation in ReRAM-based Main Memory让人眼前一亮,这是来自原文的一段话:“Our experimental results show that, compared with a state-of-the-art neural processing unit design, PRIME improves the performance...
Non-volatile computing-in-memory macros that are based on two-dimensional arrays of memristors are of use in the development of artificial intelligence edge devices. Scaling such systems to three-dimensional arrays could provide higher parallelism, capacity and density for the necessary vector–matrix ...
“We were the first to develop a computing-in-memory chip for audio in 2019, and now we have achieved another milestone with volume production of this technology in our ultra-low-power neural processing SoC that streamlines and improves speech processing...
Microchip Technology, via its Silicon Storage Technology (SST) subsidiary, today announced that its SuperFlash® memBrain™ neuromorphic memory solution has solved this problem for the WITINMEM neural processing SoC, the first in volume production t
2023年11月28日—高效能低功耗32/64位RISC-V处理器核心领导供货商暨RISC-V国际协会创始首席会员Andes晶心科技(TWSE: 6533)与模拟忆阻器(analog memristor)技术和内存运算(in-memory computing)方面的先驱—TetraMem,宣布建立战略合作伙伴关系,旨在提供快速、高效的人工智能推理芯片,这将彻底改变人工智能和边缘运算的格局...