(1) A computer architecture that performs more than one operation at the same time. See multicore, multithreading, GPGPU, pipeline processing and vector processor. (2) Using multiple computers. See ...

Hailing from sunny (not as much as people think) Italy and long standing gamer since the age of Mattel Intellivision and Sinclair ZX Spectrum. Definitely a multi-platform gamer, he still holds the old ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Forward-looking: New research details a process that allows a CPU, GPU, and AI accelerator to work seamlessly in parallel on separate tasks. The pioneering breakthrough could provide blazing-fast, ...

A concurrent program is one that can execute multiple tasks simultaneously. Concurrency improves a program’s throughput, execution speed, and responsiveness. On a single processor system, concurrent ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel processing ...

Parallel Studio is designed to support new as well as experienced C/C++ parallel programmers. The Parallel Advisor provides insight into existing applications while ...