The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

SAN JOSE, Calif.--The ability to cram more data into less space on a memory chip or a hard drive has been the crucial force propelling consumer electronics companies to make ever smaller devices. It ...

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 ...

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 ...

How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage? Data centers currently account for about one percent of global energy ...

Tao said the integrated system combines the strengths of two devices in frequency generation, modulation, and in-memory ...

In 1994, University of Virginia computer science professor emeritus William Wulf and his then-graduate student, Sally McKee, identified what would become a defining challenge in the field of computer ...

Chipset architecture used to be split into two main chips: the Northbridge for fast stuff like the CPU and RAM, and the ...