Graphs are a natural fit for parallel, multithreaded execution. A query of course should do more than just visit a node. In a simple case, we can count the number of unique two-hop neighbors or ...

Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

It's also interesting to note that this programming model is currently being used in more than 10,000 programs for applications such as large-scale graph processing, text processing or data mining ...

GSQL combines SQL-like query syntax with Cypher-like graph navigation, plus procedural programming and user-defined functions. I have mixed feelings about TigerGraph’s new GSQL query language.

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

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 ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

The company is a champion of major parallel programming efforts and standards such as OpenMP [Open Multi-Processing], MPI (Message Passing Interface) and Intel’s own TBB (Threading Building ...

Parallel Programming with NVIDIA CUDA. HPC. by Alejandro Segovia. on February 1, 2011. ... The execution time is in milliseconds on a logarithmic scale (so a small difference in graph size is actually ...