For AI training workloads, the ideal solution is a lossless back-end network that combines high capacity and speed with low ...

A Finland-based firm is aiming to increase the performance of the central processing units (CPUs) used in computers by up to 100 times using what the company calls – parallel processing units ...

A user has to come up with a fine and stable control method for all such parallel functional threads, to achieve the final verification goal using the verification features. System Verilog LRM ...

See multicore, multithreading, GPGPU, pipeline processing and vector processor. (2) Using multiple computers. See parallel computing. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other ...

Discover how neuromorphic AI chips are transforming artificial intelligence by mimicking human brain functions, enhancing efficiency, and reducing energy consumption.

Since its launch in 2015, Ethereum has led the way in the cryptocurrency revolution as a groundbreaking decentralised ...

Writing in The Conversation, Lund University professor Heiner Linke argues that biological computers could dramatically cut ...

Nvidia’s AI GPUs have long been the standard for training large-language AI models in centralized data centers, thanks to ...

For much of the last two years, Nvidia has been the biggest player in town when it comes to data center processors.