To bridge this accuracy gap, we introduce a chip-in-the-loop progressive fine-tuning technique. Chip-in-the-loop training mitigates the impact of non-idealities by measuring training error directly on the chip44
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
MEMORY CELL FOR DOT PRODUCT OPERATION IN COMPUTE-IN-MEMORY CHIPCertain aspects provide a circuit for in-memory computation. The circuit generally includes an in-memory computation array having a plurality of computation circuits, each of the computation circuits being configured to perform a dot ...
NeuroBlade, the compute-in-memory startup, has secured $83 million to help market its data analytics accelerator based on its XRAM computational memory chip. The Series B funding round takes NeuroBlade’s total funding to $110 million since being established in 2018. The Israel-based startup ha...
Le Gallo, M. et al. A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.Nat. Electron.6, 680–693 (2023). Google Scholar Hu, H.-W. et al. A 512Gb in-memory-computing 3D-NAND flash supporting similar-vector-matching operations...
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 the desirable choices for data-centric applicat...
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 findings of this study are available from the corresponding author upon reasonable request. Code availability The code support...
This work introduces a digital SRAM-based near-memory compute macro for DNN inference, improving on-chip weight memory capacity and area efficiency compare... H Kim,J Mu,C Yu,... - 《IEEE Transactions on Circuits & Systems I Regular Papers A Publication of the IEEE Circuits & Systems Socie...
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 ...
The computer system800includes a system on chip (SOC or SoC)804which combines processor, graphics, memory, and Input/Output (I/O) control logic into one SoC package. The SoC804includes at least one Central Processing Unit (CPU) module808, a memory controller814, and a Graphics Processor Uni...