Series: Emerging Trends in Computer Science and Applied Computing

Emerging Trends in Computer Science & Applied Computing is dedicated to facilitating increased opportunities for cross-fertilization across Computer Science and Applied Computing. Increasingly, computer science is the driving force for advances and breakthroughs in other fields. For example, experts in biology, political science, business, and national security, believe that their fields are no longer hypothesis driven – instead they are now data-driven disciplines. Virtually, all sub-fields of applied computing involve the use of computer science methods as building blocks to solve problems in different application domains. These  sub-fields include: Monte Carlo methods and applications; Numerical methods and simulation; Quantum computing; Optimization and approximation methods; Probabilistic and randomized methodologies; Inversion problems; Ordinary, partial and stochastic differential equations; Finite element methods; Multi-level and Multi-grid methods; Operational research; Dynamical systems; Artificial Intelligence (AI); Social networks; Data and information mining; Semantic web and web services; Natural language processing; Biomedical science; Pattern recognition; Robotics; DNA computing; Machine learning; Telecommunications; Transportation systems; Game technologies; Engineering problems, as well as computational disciplines in geometry, biology and bioinformatics, chemistry, fluid dynamics, physics, mechanics, electromagnetics and electrodynamics, and numerous other emerging applications.
Book Series: Advances in GPU Research and Practice

Most recent volume

Volume . Advances in GPU Research and Practice

Published: 6th September 2016 Author: Hamid Sarbazi-Azad

Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues.

Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors.

Additional volumes

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Published: 22nd March 2016 Authors: Hamid Arabnia Quoc Nam Tran

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Published: 7th August 2015 Authors: Hamid Arabnia Quoc Nam Tran

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Published: 10th December 2014 Editors: Leonidas Deligiannidis Hamid Arabnia

Emerging Trends in ICT Security

Published: 25th November 2013 Editors: Babak Akhgar Hamid Arabnia