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 ...

Aster Data, a provider of data warehousing solutions for "big data" applications, yesterday announced Aster Data Version 4.0, which the company describes as the industry's first "Massively Parallel ...

For many years, and quite a long time ago in computer time, Hadoop was seen as the best way to store and analyze mountains of unstructured data. But then workloads and data began shifting to the ...

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 ...

Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically ...

The job of enterprise IT executives today is more challenging than ever. They must manage relentless data growth and harness ever-evolving technologies using smaller teams. They are tasked with ...

Existing processors in PCs, smartphones and other devices can be supercharged for enormous power and efficiency gains using a new parallel processing software framework designed to eliminate ...