Nature

Data Prefetching Techniques in Computer Architecture

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...
Semiconductor Engineering

An Energy-Efficient 10T SRAM In-Memory Computing Macro Architecture For AI Edge Processor

A technical paper titled “An energy-efficient 10T SRAM in-memory computing macro for artificial intelligence edge processor” was published by researchers at Atal Bihari Vajpayee-Indian Institute of ...
insideHPC

In-Memory Computing Could Be an AI Inference Breakthrough

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...
CNET

How Much Unified Memory Do I Need in a Mac?

One of the biggest impacts of Apple's switch from Intel to its own M-series silicon -- debuting with the M1 in the 2020 MacBook Air, MacBook Pro and Mac Mini -- is faster, more stable, and more energy ...