Semiconductor Engineering

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

“Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with ...
Semiconductor Engineering

Scaling Up Compute-In-Memory Accelerators

Researchers are zeroing in on new architectures to boost performance by limiting the movement of data in a device, but this is proving to be much harder than it appears. The argument for memory-based ...
Electronic Design

Startup Rolls Out Compute-in-Memory Chip for Deep Learning

This Electronic Design article is reprinted here with permission. Mythic, a startup backed by Micron Technology and Lam Research, rolled out its first chip that can get artificial intelligence out of ...
EDN

Analog in-memory compute tackles the AI inference conundrum

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...
Electronic Design

Startup Rolls Out Analog Compute-in-Memory Chip for AI

Mythic, a startup backed by Micron Technology and Lam Research, rolled out its first chip that can get artificial intelligence out of the cloud and into edge devices. The startup said that it can ...