English | 2021 | ISBN: 978-1617296468 | 704 Pages | PDF, EPUB, MOBI | 71 MB
Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness.
Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.
Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency.
Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs.
What’s inside
- Planning a new parallel project
- Understanding differences in CPU and GPU architecture
- Addressing underperforming kernels and loops
- Managing applications with batch scheduling
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