High Performance Visualization

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging mult

Forget paper airplanes that crash and burn seconds after you throw them! Andrew Dewar's tried and true High-Performance Paper Airplanes will surpass those flimsy classroom creations, sending your plan

This book constitutes revised selected papers from 10 workshops that were held as the ISC High Performance 2017 conference in Frankfurt, Germany, in June 2017. The 59 papers presented in this volu

Performance is a hugely important area of web development. If your site runs slowly, users are going to leave, and the problem only grows as your site gets more popular. Pro JavaScript Performance giv

From our new Memo to the CEO series--solutions-focused advice from today's leading practitioners.Our free-market capitalist system is the world's greatest driver of prosperity, but it has a dark side.

Papers of the April 1988, Reno, Nevada meeting. They deal with: novel processing methods for metal based composites; deformation mechanisms in metal matrix composites; ceramic composite mechanical per

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo