By Gerassimos Barlas
Multicore and GPU Programming deals huge insurance of the major parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. utilizing threads, OpenMP, MPI, and CUDA, it teaches the layout and improvement of software program in a position to benefiting from today’s computing structures incorporating CPU and GPU and explains find out how to transition from sequential programming to a parallel computing paradigm.
Presenting fabric subtle over greater than a decade of training parallel computing, writer Gerassimos Barlas minimizes the problem with a number of examples, large case stories, and entire resource code. utilizing this publication, you could increase courses that run over disbursed reminiscence machines utilizing MPI, create multi-threaded functions with both libraries or directives, write optimized functions that stability the workload among to be had computing assets, and profile and debug courses focusing on multicore machines.
- Comprehensive insurance of all significant multicore programming instruments, together with threads, OpenMP, MPI, and CUDA
- Demonstrates parallel programming layout styles and examples of the way various instruments and paradigms will be built-in for improved performance
- Particular concentrate on the rising quarter of divisible load idea and its effect on load balancing and allotted systems
- Download resource code, examples, and teacher aid fabrics at the book's better half website
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