AnzoGraph is a massively parallel, in-memory OLAP graph ... GSQL combines SQL-like query syntax with Cypher-like graph navigation, plus procedural programming and user-defined functions.

Developer educator and .NET MVP Jeremy Clark talks concurrent programming ahead of an intermediate-level two-day training ...

TigerGraph, a recent arrival, is a “real-time native parallel graph database ... like query syntax with Cypher-like graph navigation, plus procedural programming and user-defined functions.

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

The open source and cross-platform F# is officially described as a "universal programming language," but ... a guest post about a new F# compiler feature: graph-based type checking, which allows ...

Some deep learning applications tend to have very complex graphs with thousands of nodes and edges. To make it easier to visualize, analyze, design, and tune such complex parallel applications ...

This new version opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer. The OpenMP API is used in a ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model.

Non-deterministic programs generally have the worst reputation for parallel programming, which often leads to the frustration of having programs that don’t run the same way, given the same data ...

In data-parallel programming, the user specifies the distribution of arrays among processors, and then only those processors owning the data will perform the computation. In OpenMP’s master / slave ...