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I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

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

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), sequential ...

Intel Parallel Studio XE and Cluster Studio brings parallel computing tools to Linux and Microsoft Visual Studio developers. The compilers support Intel's Parallel Building Blocks and the Fortran ...

Parallel programming is a method of organising parallel, simultaneous computations within a program. In the traditional sequential model, code is executed step by step, and at any given moment, only ...

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 processing ...

Central processing units of modern computers contain multiple cores capable of carrying out computations independently. This architecture can be leveraged by writing computer programs that perform ...