Semiconductor Engineering

A Practical DRAM-Based Multi-Level PIM Architecture For Data Analytics

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...
Electronics For You

In-Memory Analog Processing For Faster HPC

Researchers at the Politecnico di Milano have developed an analog in-memory computing chip that performs computations ...
Semiconductor Engineering

Accelerator Architecture For In-Memory Computation of CNN Inferences Using Racetrack Memory

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
TechSpot

PyPIM is a new method to execute Python code directly in RAM

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...
WinBuzzer

AI: Memory Bottleneck Emerges as Main LLM Inference Challenge

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.
techtimes

Unveiling the Fastest In-Memory Database: Revolutionizing Data Processing with Exasol

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...
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 ...