Write fast, powerful, energy-efficient programs that easily scale to handle huge amounts of data. Parallel programming allows you to distribute data processing tasks across multiple processors, significantly increasing performance. The book explains how to make your programs more efficient with minimal effort.

You will learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI, master data structures and algorithms suitable for high-performance computing, and learn , how to save power on handheld devices, and even run a large-scale tsunami simulation on a battery of GPU processors.

The publication is intended for experienced programmers who speak a high-performance computing language such as C, C++ or Fortran.