This is the second volume of Morgan Kaufmann's GPU Computing Gems, offering an all-new set of insights, ideas, and practical "hands-on" skills from researchers and developers worldwide. Each chapter gives you a window into the work being performed across a variety of application domains, and the opportunity to witness the impact of parallel GPU computing on the efficiency of scientific research.
GPU Computing Gems: Jade Edition showcases the latest research solutions with GPGPU and CUDA, including:
Improving memory access patterns for cellular automata using CUDA
Large-scale gas turbine simulations on GPU clusters
Identifying and mitigating credit risk using large-scale economic capital simulations
GPU-powered MATLAB acceleration with Jacket
Biologically-inspired machine vision
An efficient CUDA algorithm for the maximum network flow problem
30 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any industry
GPU Computing Gems: Jade Edition contains 100% new material covering a variety of application domains: algorithms and data structures, engineering, interactive physics for games, computational finance, and programming tools.
This second volume of GPU Computing Gems offers 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more
Covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs
Even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research
Distills the best practices of the community of CUDA programmers; each chapter provides insights and ideas as well as 'hands on' skills applicable to a variety of fields