Digital technologies should be making life easier. And to a large degree they are, transforming everyday tasks of work, consumption, communication, travel and play. But they are also accelerating and fragmenting our lives affecting our well-being and exposing us to extensive data extraction and profiling that helps determine our life chances. Initially, the COVID-19 pandemic lockdown seemed to create new opportunities for people to practice ‘slow computing’, but it quickly became clear that it was as difficult, if not more so, than during normal times. Is it then possible to experience the joy and benefits of computing, but to do so in a way that asserts individual and collective autonomy over our time and data? Drawing on the ideas of the ‘slow movement’, Slow Computing sets out numerous practical and political means to take back control and counter the more pernicious effects of living digital lives.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

Digital technologies should be making life easier. And to a large degree they are, transforming everyday tasks of work, consumption, communication, travel and play. But they are also accelerating and fragmenting our lives affecting our well-being and exposing us to extensive data extraction and profiling that helps determine our life chances. Initially, the COVID-19 pandemic lockdown seemed to create new opportunities for people to practice ‘slow computing’, but it quickly became clear that it was as difficult, if not more so, than during normal times. Is it then possible to experience the joy and benefits of computing, but to do so in a way that asserts individual and collective autonomy over our time and data? Drawing on the ideas of the ‘slow movement’, Slow Computing sets out numerous practical and political means to take back control and counter the more pernicious effects of living digital lives.

Summary: This work combines selected papers from a July 2008 workshop held in Cetraro, Italy, with invited papers by international contributors. Material is in sections on algorithms and scheduling, architectures, GRID technologies, cloud technologies, information processing and applications, and HPC and GRID infrastructures for e-science. B&w maps, images, and screenshots are used to illustrate topics such as nondeterministic coordination using S-Net, cloud computing for on-demand grid resource provisioning, grid computing for financial applications, and the evolution of research and education networks and their essential role in modern science. There is no subject index. The book's readership includes computer scientists, IT engineers, and managers interested in the future development of grids, clouds, and large-scale computing. Gentzsch is affiliated with the DEISA Project and Open Grid Forum, Germany.

Advanced Topics in End User Computing features the latest research findings dealing with end user computing concepts, issues, and trends. Empirical and theoretical research concerned with all aspects of end user computing including development, utilization, and management are included. Volume three is specifically interested in those studies that show a significant contribution by relating end user computing to end user satisfaction, end user productivity, and strategic and competitive advantage. *Note: This book is part of a new series entitled ?Advanced Topics in End User Computing?. This book is Volume Three within this series (Vol. III, 2004).

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. - Comprehensively presents the various aspects of statistical methodology - Discusses a wide variety of diverse applications and recent developments - Contributors are internationally renowned experts in their respective areas

The 7th International Conference on Entertainment Computing, under the auspices of the International Federation for Information Processing (IFIP), was held September 25–27, 2008 in Pittsburgh, Pennsylvania. Based on the very successful first international workshop (IWEC 2002) and the following international conferences (ICEC 2003 through ICEC 2007), ICEC 2008 was an international forum for the exchange of experience and knowledge amongst researchers and developers in the field of entertainment computing. ICEC is the longest established and most prestigious conference in the field of entertainment computing. The conference provides an interdisciplinary forum for advanced research in entertainment computing, broadly defined. ICEC is truly international with leading experts from 14 nations representing academia and industry attending this year’s conference. These leaders presented their newest research, insights, products and demonstrations. Although the field of entertainment computing is thought of as new, in fact modern digital computer games go back over 45 years with games such as Spacewar developed in 1961. This is not to say entertainment computing is limited to computer games. As evidenced by papers in this volume, entertainment computing covers virtually every aspect of today’s recreational diversions.

This book constitutes the refereed proceedings of the 7th Asian Computing Science Conference, ASIAN 2002, held in Hanoi, Vietnam in December 2002. The 17 revised full papers presented together with two invited contributions were carefully reviewed and selected from 30 submissions. The conference was devoted to Internet computing and modeling, grid computing, peer-to-peer systems, and cluster computing. Among the issues addressed are scalable infrastructure for global data grids, distributed checkpointing, list coloring, parallel debugging, combinatorial optimization, video on demand servers, caching, grid environments, network enabled servers, multicast communication, dynamic resource allocation, traffic engineering, path-vector protocols, Web-based Internet broadcasting, Web-based middleware, and subscription-based Internet services.

Whether you're already in the cloud, or determining whether or not it makes sense for your organization, Cloud Computing and Software Services: Theory and Techniques provides the technical understanding needed to develop and maintain state-of-the-art cloud computing and software services. From basic concepts and recent research findings to fut

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap between the separate worlds of hardware and software design— the key feature of reconfigurable computing is its groundbreaking ability to perform computations in hardware to increase performance while retaining the flexibility of a software solution. Reconfigurable computers serve as affordable, fast, and accurate tools for developing designs ranging from single chip architectures to multi-chip and embedded systems. Scott Hauck and Andre DeHon have assembled a group of the key experts in the fields of both hardware and software computing to provide an introduction to the entire range of issues relating to reconfigurable computing. FPGAs (field programmable gate arrays) act as the "computing vehicles to implement this powerful technology. Readers will be guided into adopting a completely new way of handling existing design concerns and be able to make use of the vast opportunities possible with reconfigurable logic in this rapidly evolving field. - Designed for both hardware and software programmers - Views of reconfigurable programming beyond standard programming languages - Broad set of case studies demonstrating how to use FPGAs in novel and efficient ways