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 ...

In the past, the development of parallel data architectures accompanied the need to master different engineering languages and paradigms for batch and streaming use cases.

Stream Processors, Inc. (SPI) recently unveiled its data-parallel processor architecture and announced two chips based on the architecture. According to SPI, its architecture is optimized for ...

The Quadric architecture supports all types of data-parallel algorithms through Source Mode within the SDK.

I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads.

How can infosec pros and data architects work together to support business goals and achieve a good level of cyber security?

The debate over which is the better approach dates back to the 1980s, when the first commercial parallel database architectures came into being. In shared disk clusters—groups of independent ...

AWS recently announced the preview of Amazon Aurora Limitless Database, a new capability supporting automated horizontal scaling to process millions of write transactions per second and manage ...