The development of computing technology in the late 18th century led to a change in computer architecture from the 1960s 2D drawing age to the present-day machine learning era, which uses algorithms, ...

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

More flexible systems naturally expose a wider range of configurations and performance profiles. For AI-native developers, ...

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 ...

RISC-V is an open-source Instruction Set Architecture (ISA) that rapidly transforms the CPU design and development landscape. Unlike proprietary ISAs, RISC-V allows free access to architecture ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

Computer engineers have developed a new AI method for accurately predicting the power consumption of any type of computer processor more than a trillion times per second while barely using any ...

If you've ever been computer shopping, you'll undoubtedly have heard the term RAM thrown around willy-nilly. You might know a few things about RAM, such as that it's one of the most important parts in ...