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.
Authors interested in contributing to this volume are asked to submit a short proposal via EasyChair (https://www.easychair.org/conferences/?conf=ncgpu14) 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 (http://www.ncsa.illinois.edu/~kindr/editorial/ncgpu/solicitation.pdf) or contact the Editor at firstname.lastname@example.org.