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 ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

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

A new technical paper titled “New Tools, Programming Models, and System Support for Processing-in-Memory Architectures” was ...

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 ...

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

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

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 ...