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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 ...

Parallel processing is an idea that will be familiar to most readers. Few of you will not be reading this on a device with only one processor core, and quite a few of you will have experimented wit… ...

Use Claude Hive workflows to unlock the true power of Claude Code sub-agents to supercharge your app development by prompt ...

“It would hang off the bus just as a GPU or neural accelerator would. It’s a configurable array of small processors that can execute parallel code with less need for barriers or locks.” Fig. 5: ...

Quadric’s open software ecosystem makes it easier for developers to work with parallel code, reduces duplication and streamlines development edge computing applications. Learn more at quadric.io.

Parsl Short for “Parallel Scripting Library,” Parsl lets you take computing jobs and split them across multiple systems using roughly the same syntax as Python’s existing Pool objects.

The ability to “see” parallel code is a key advantage that parallel languages have over sequential counterparts, as the parallelism is self-documenting in that regard (Fig. 2).

Editor's Note: This is the first of two articles discussing how Massively Parallel Processing Arrays (MPPAs) can be used to accelerate high-performance embedded system applications. In this article, ...

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 ...