As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units ...

If you don’t recall, the transputer was a groundbreaking CPU architecture made for parallel processing. Instead of giant, powerful CPUs, the transputer had many simple CPUs and a way to chain ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop sys… ...

The series will cover computer architecture, processor circuit design, VLSI (very-large-scale integration), chip fabrication, and future trends in computing.

From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding ...

The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

Originally driven by Intel’s now-defunct Optane storage class memory, Parallelstore offers massive parallel file storage targeted at artificial intelligence training use cases on Google Cloud.

This distinction underlay the architecture for network-processing chips, with dedicated hardware provided for long strings of calculations on data complemented by a CPU for executing control code, ...

Flow’s groundbreaking new architecture, referred to as a Parallel Processing Unit (PPU), boosts the CPU performance up to 100-fold through PPU integrated on-die through a license from Flow.