As a result, parallel computation starts almost immediately with the first chunk of data. Using the parallel in-memory grid can result in much faster execution of the post-processing operations than ...

AWS recently announced a distributed map for Step Functions, a solution for large-scale parallel data processing. Optimized for S3, the new feature of the AWS orchestration service targets ...

The innovation allowed the new chipsets to enable highly parallel data processing. They can now do this by calculating on all wavelengths continuously.

Swarm, a new chip architecture developed at MIT, automates critical aspects of parallel processing to speed up multi-core CPUs by up to 75 times, while requiring programmers to write a fraction of ...

As the company name suggests, Swarm64 leverages parallel processing to accelerate and scale PostgreSQL performance, spinning up 64 parallel threads to execute queries. The 4.0 version released last ...

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 ...

Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing (MPP) architecture. The company announced the beta of the new Sybase IQ ...

EonStor GSx is a high-performance storage solution facilitating parallel file access in IT environments that require processing sheer volumes of data.