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 ...

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 ...

About 20 years ago engineers around the world began demonstrating what is still the greatest computer innovation of my lifetime, parallel processing. (For more on the concept, visit this course at the ...

Semantic cognition encompasses human performance based on knowledge about the properties of objects, relations among objects and word meanings. One approach to semantic cognition has arisen within the ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Microsoft has shared bits and pieces of how it is adding new features to its development tools to better support parallel processing. But the next release of Windows client and server also are going ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...