by Angela Guess

A new press release reports, “ScaleOut Software, a leading provider of in-memory computing software, today announced the version 5.5 release of its in-memory data grid (IMDG) and in-memory computing platform. This version adds several new features targeted at .NET developers, highlighted by a new API for data-parallel computing that builds on capabilities in .NET’s widely used Task Parallel Library.  Called Distributed ForEach, this new API transparently extends data-parallel computing across ScaleOut’s IMDG to handle much larger workloads than otherwise possible. It also makes distributed, data-parallel programming easy to implement for any developer familiar with the .NET programming framework.”

The release goes on, “ScaleOut Software’s distributed IMDG technology enables developers to scale their mission-critical enterprise applications for extreme performance, fast data access, and high availability — regardless of workload. With ScaleOut’s integration of in-memory computing into its IMDG, developers have important new tools that go beyond distributed caching to track the behavior of live systems (such as financial trading applications), identify actionable insights in real time, and capture perishable business opportunities. Developers familiar with the Parallel.ForEach operator in .NET can now enable this data-parallel computing pattern to handle very large workloads without the need to learn new coding techniques. The implementation delivers fast, scalable performance while avoiding network-intensive data motion and unnecessary garbage collection.”

Read more at ScaleOutSoftware.com.

Photo credit: ScaleOut