The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview
In today's data-centric world, where data fuels numerous application domains, with machine
learning at the forefront, handling the enormous volume of data efficiently in terms of time …
learning at the forefront, handling the enormous volume of data efficiently in terms of time …
Data Alignment on Embedded CPUs for Programmable Control Devices
This work aims to investigate the impact of memory access limitations in microcontrollers
and microprocessors on the performance of software that deals with binary data. The …
and microprocessors on the performance of software that deals with binary data. The …
[HTML][HTML] TA-Quatro: Soft Error-Resilient and Power-Efficient SRAM Cell for ADC-Less Binary Weight and Ternary Activation In-Memory Computing
Some applications, such as satellites, require ultralow power and high-radiation resilience.
We developed a12Tsoft error-resilient SRAM cell, TA-Quatro, to deliver in-memory …
We developed a12Tsoft error-resilient SRAM cell, TA-Quatro, to deliver in-memory …
Low Computing Leakage, Wide-Swing Output Compensation Circuit for Linearity Improvement in SRAM Multi-Row Read Computing-in-Memory
Z Gu, H Zhao, X Wang, S Qiao, Y Zhou - Electronics, 2022 - mdpi.com
To increase the throughput of computing-in-memory (CIM) designs, multi-row read methods
have been adopted to increase computation in the analog region. However, the nonlinearity …
have been adopted to increase computation in the analog region. However, the nonlinearity …