This work describing a low power write scheme which reduces SRAM power by using seven – transistor sense-amplifying memory cell. By reducing the bit line swing and amplifying the voltage swing by a ...

“AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption.

New academic paper titled “Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution”, from researchers at Univ.

In advanced process nodes, the severe decoupling between SRAM scaling stagnation and logic circuit scaling, combined with the surging on-chip memory demands from Large Language Model (LLM) training ...

Embedded Dynamic Random Access Memory (eDRAM) design is rapidly evolving to meet the escalating performance and energy efficiency demands of contemporary processors. This technology has emerged as a ...

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last ...

The type of memory a designer selects for an embedded project drives overall system operation and performance, so obviously this is a very important decision. Whether the system runs on batteries or ...

Non-volatile technologies like MRAM and particularly ReRAM are poised to finally take a major leap into the embedded-memory design space. What is trending in embedded memory technology? Why ReRAM is ...