Semiconductor Engineering

Recent Advances and Challenges in Processing-in-DRAM (ETH Zurich)

A new technical paper titled “Memory-Centric Computing: Recent Advances in Processing-in-DRAM” was published by researchers at ETH Zurich. “Memory-centric computing aims to enable computation ...
EurekAlert!

Advances of emerging memristors for in-memory computing applications

The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has ...
Nanowerk

Novel photodetector integrates event sensing and memory for optical processing

(Nanowerk Spotlight) Optical information processing is a critical technology for applications ranging from machine vision to high-speed optical communication. However, current photodetection systems ...
Semiconductor Engineering

RPU: A Chiplet-Based Architecture To Address The Challenges of the Modern Memory Wall (Harvard University)

A Reasoning Processing Unit”. Abstract “Large language model (LLM) inference performance is increasingly bottlenecked by the ...
Business Insider

GridGain and Tech Mahindra Partner on Leveraging In-Memory Computing to Solve Application Speed and Scalability Challenges

FOSTER CITY, Calif., July 22, 2020 (GLOBE NEWSWIRE) -- GridGain ® Systems, provider of enterprise-grade in-memory computing solutions based on Apache ® Ignite ®, today announced a strategic ...
NextBigFuture

Analog in-memory Computing Attention Mechanism for Fast and Energy-efficient Large Language Models

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...