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 ...

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 ...

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 ...

The graph below shows the total number of publications each year in Parallel Programming and Multicore Systems. References [1] Disentanglement with Futures, State, and Interaction .

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 ...

This book is very focused on one thing: teaching readers how to develop parallel applications that perform well on NVIDIA’s GPUs using NVIDIA’s CUDA language. The authors do a good job explaining ...

Q&A. Asynchronous and Parallel Programming in C#. By David Ramel; 05/20/2025; As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, ...

Facebook’s Futures, part of its Folly library of open source programming tools, provides a way to easily use C++ futures.It extends the generic C++11 futures capabilities to enhance readability ...

Q&A. Asynchronous and Parallel Programming in C#. By David Ramel; 05/20/2025; As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, ...