力晶提出 “Computing in Memory” 技术平台,把 DRAM 和逻辑单元做在同一颗芯片上,省去当中的 IO,第一个应用是加速器产品,法商 Upmem 已经开始导入,优势是在资料重度存储的环境下,运算效能能提升 20 倍,系统节能效率提升 10 倍。 黄崇仁解释这样的概念,像是现在逻辑工艺中,也会有嵌入式存储器(embedded flash)...
存算一体技术（Computing in Memory，CIM）概念的形成，最早可以追溯到上个世纪90年代。从处理单元外的存...
实际上In Memory Computing之于IC就类似于同样大火于学术圈的Computer Vision之于CS。Computer Vision: 硕...
人们提出了很多办法来解决这一问题,这其中有一种方案,称为内存内计算(memory-in computing),也就是将计算单元嵌入到内存单元里。内存不仅存储数据,同时也对数据进行计算,由此减少了数据在内存与CPU之间传递的时间,如下图所示, (图片来自https://ercim-news.ercim.eu/en115/r-i/2115-in-memory-computing-towards-...
Flash devices adopt a crossbar structure, allowing data access through row and column selections, which makes flash-based crossbar arrays suitable for In-Memory or Near-Memory computing. This paper proposes a hybrid CMOS-based implementation of Boolean functions using flash memory. Logic functions ...
In-/Near-Memory Computing 《存内/迳存计算》 作者:Daichi Fujiki, Xiaowei Wang, Arun Subramaniyan, and Reetuparna Das University of Michigan, Ann Arbor 翻译: Yiyang
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6篇文章,有4篇来自中国大陆...
Microchip has worked with WITINMEM to incorporate Microchip’s memBrain analog in-memory computing solution, based on SuperFlash technology, into WITINMEM’s ultra-low-power SoC. The SoC features computing-in-memory technology for neural networks processing ...
http://.jcmit/memoryprice.htm Introduction In-memory computing is one of the fastest growing trends in the industry for a number of reasons. • Dwindling cost of memory: Hardware innovation has led to an exponential decline in the price of memory. ...
Han R, Huang P, Xiang Y, et al. A novel convolution computing paradigm based on NOR flash array with high computing speed and energy efficiency. IEEE Trans Circ Syst I, 2019, 66: 1692–1703 Google Scholar Lee S T, Lee J H. Neuromorphic computing using NAND flash memory architecture with...