<p>This is the second volume of Morgan Kaufmann's <i>GPU Computing Gems</i>, 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.</p> <p><i>GPU Computing Gems: Jade Edition</i> showcases the latest research solutions with GPGPU and CUDA, including:</p> <ul><li>Improving memory access patterns for cellular automata using CUDA</li><li>Large-scale gas turbine simulations on GPU clusters</li><li>Identifying and mitigating credit risk using large-scale economic capital simulations</li><li>GPU-powered MATLAB acceleration with Jacket</li><li>Biologically-inspired machine vision</li><li>An efficient CUDA algorithm for the maximum network flow problem</li><li><b><i>30 more chapters</i></b> of innovative GPU computing ideas, written to be accessible to researchers from any industry</li></ul> <p><i>GPU Computing Gems: Jade Edition</i> contains 100% new material covering a variety of application domains: algorithms and data structures, engineering, interactive physics for games, computational finance, and programming tools.</p><ul><li>This second volume of <i>GPU Computing Gems </i>offers 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more </li><li>Covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs</li><li>Even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research </li><li>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</li></ul>