Numerical Computations with GPUs
Editor: Volodymyr Kindratenko
Background Information
Numerical Computations with GPUs, to be published by Springer, will contain a collection of articles on core numerical methods adapted for Graphics Processing Units (GPUs). Classical numerical methods (solution of linear equations, FFT, etc.) are at the core of many scientific and engineering computations. In recent years substantial efforts were undertaken to adapt these methods for recently emerged GPU-based systems. The book is envisioned as a consolidation of such work into a single volume covering widely used methods and techniques.
Each chapter will provide mathematical background, parallel algorithm, and implementation details leading to reusable, adaptable, and scalable code fragments. Each chapter will be accompanied with a basic CUDA or OpenCL source code that can be used by the readers as a starting point for adaptation in their applications. The book will serve as a GPU implementation manual for many numerical algorithms providing valuable insights into parallelization strategies for GPUs as well as ready-to-use code fragments with a broad appeal to both developers and researchers interested in GPU computing.
Call for Contributions
Researchers working on the development and implementation of numerical methods on GPUs are invited to submit their work for consideration for inclusion in the book. Articles on the following broad topics are solicited:
- Dense linear algebra
- Sparse linear algebra
- Eigenvalues and eigenvectors
- Numerical integration and differentiation
- Interpolation and extrapolation
- Random number generation and Monte Carlo problems
- FFT and its applications
- Functions and root finding
- Data fitting
- Iterative solvers
- Differential equations
- Sorting and searching
- Coding and compression
Authors interested in contributing to this volume are asked to submit a short proposal via EasyChair by October 15, 2013. Authors of the accepted/invited chapters are expected to write and submit to the editor completed chapters by January 31, 2014. For more details see full solicitation or contact the Editor at kindrtnk@illinois.edu.
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