A team of researchers at the University of Illinois' Universal Parallel Computing Research Center (UPCRC) has developed a parallel implementation of Java.

Consider: the present state of parallel programming looks a lot like that of object-oriented programming in the early 1990s — a small number of practioners understand and use it, but the overall ...

In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm.

Hi there. I'm wondering if anyone has any recommendations for good resources to learn parallel/concurrent/multicore programming. I know this is a pretty damn vague question, so bear with me. I've ...

Fortunately the patterns and applications that Programming… relies upon to teach its lessons are fairly common, and as readers explore other material they will find ample opportunity to learn even ...

Microsoft also announced enhancements to the next versions of its Parallel Patterns Library and C++ Concurrency runtime. “You can find easy-to-use C++ templates and runtime support to express ...

For parallel programming, the lesson is that having 250 programming language choices leads to paralysis. Yet there is a parallel programming paradigm that works: MPI, a message-passing API that works ...

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

Both fine-grain and coarse-grain architectures (e.g. CGRAs) traditionally require low level programming and suffer from long compilation times. We address both challenges with Plasticine, a new ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...