#processing-near-memory

CXL Unpacked: Enabling Scalable, Flexible, and Fast Memory for the AI Era

In our previous article, “CXL in Action: Overcoming Traditional Scale-Out Limits with MX1,” we introduced the emergence of Compute Express…

CXL in Action: Overcoming Traditional Scale-Out Limits with MX1

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture

Introduction

FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision

Introduction

PRIME: A Novel Processing In-Memory Architecture for Neural Network Computation in ReRAM-based…

Introduction

A Scalable Processing In-Memory Accelerator for Parallel Graph Processing (Tesseract)

Introduction

PIM-Enabled Instructions: A Low-Overhead, Locality-Aware Processing In-Memory Architecture

The Processing In-Memory (PIM) architectures have been introduced as accelerators for data-intensive applications like Neural Networks…

PM3: Power Modeling and Power Management for Processing-in-Memory

PIM (Processing In-Memory) architectures are accelerators for data-intensive applications like real-time Big Data applications and neural…

MCP: Memory Centric Processing

Data movements between the processing units and the memory lead to significant latency (performance) and power consumption overheads (~60%…