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 ...

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 ...

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

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

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

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 ...