Parallel Computing Tutorial This repository introduces several optimization techniques that can be applied to improve the parallelism of matrix multiplication. The techniques include loop unrolling, ...

The tutorial We will start with vector addition, which is the "hello, world" of HPC and numerical computation. Printing "Hello, world!" does not make a lot of sense in a programming model used for ...

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 ...

OCaml is a multi-paradigm (functional, imperative, object-oriented) high level sequential language. Types are stati¬cally inferred by the compiler and the type system is expressive and strong. These ...

OpenMP.org has posted the slides and audio from a day-long tutorial on Hybrid MPI and OpenMP Parallel Programming from SC13.

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

With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

To deal with multiple memory locations, “traditional” parallel programming has had to resort to synchronization. With the help of mutex (mutual exclusion) directives, a program can ensure that it is ...