a, Various device and circuit non-idealities (labelled (1) to (7)) of in-memory MVM.b, Model-driven chip calibration technique to search for optimal chip operating conditions and record offsets for subsequent c
Artificial intelligence (AI) edge devices1–12 demand high-precision energy-efficient computations, large on-chip model storage, rapid wakeup-to-response time and cost-effective foundry-ready solutions. Floating point (FP) computation provides preci
In certain aspects, each of the computation circuits includes a memory cell, a capacitive element, a precharge transistor coupled between an output of the memory cell and the capacitive element, and a read transistor coupled between a read bit line (RBL) and the capacitive element.ZHONGZE WANG...
NeuroBlade considered various memory architectures to build upon, ultimately integrating its computational cores with DRAM. “We rebuilt the entire DRAM chip from scratch, as well as the toolchain and verification software. Since there were no tools… we had to build everything from the ground up,...
Wan, W. et al. A compute-in-memory chip based on resistive random-access memory.Nature608, 504–512 (2022). Google Scholar Huo, Q. et al. A computing-in-memory macro based on three-dimensional resistive random-access memory.Nat. Electron.5, 469–477 (2022). ...
Founded in February 2021, PIMCHIP positions itself as an innovator in intelligent computing architecture, dedicated to providing technological support for the widespread application of AI through innovative memory-compute solutions. The company has applied for over 40 patents domestically and internationally...
In the era of big data and artificial intelligence, hardware advancement in throughput and energy efficiency is essential for both cloud and edge computations. Because of the merged data storage and computing units, compute-in-memory is becoming one of t
The technology reduces data movement within the GPU, which in turn lowers power consumption and boosts GPU utilisation, as it frees up memory to keep the compute units fed. Discover E-Series GPU IP NEURAL CORES E-Series introduces lots of dense, deeply integrated acceleration for power-...
A computing-in-memory macro based on three-dimensional resistive random-access memory Article Open access 26 July 2022 A compute-in-memory chip based on resistive random-access memory Article Open access 17 August 2022 Data availability The data supporting the plots in this paper and other ...
In computer programming, macros are essentially rules, patterns or instructions that outline how input data should be mapped onto a given output. Their macro specifically applies to an on-chip non-volatile compute-in-memory (nvCIM) system, an architecture that combines a processor and a memory ...