Scalable Shared-Memory Multiprocessing


Book Description

Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.




High Performance Computing Systems and Applications


Book Description

Major advances in computing are occurring at an ever-increasing pace. This is especially so in the area of high performance computing (HPC), where today's supercomputer is tomorrow's workstation. High Performance Computing Systems and Applications is a record of HPCS'98, the 12th annual Symposium on High Performance Computing Systems and Applications. The quality of the conference was significantly enhanced by the high proportion of keynote and invited speakers. This book presents the latest research in HPC architecture, networking, applications and tools. Of special note are the sections on computational biology and physics. High Performance Computing Systems and Applications is suitable as a secondary text for a graduate-level course on computer architecture and networking, and as a reference for researchers and practitioners in industry.




Compiler Optimizations for Scalable Parallel Systems


Book Description

Scalable parallel systems or, more generally, distributed memory systems offer a challenging model of computing and pose fascinating problems regarding compiler optimization, ranging from language design to run time systems. Research in this area is foundational to many challenges from memory hierarchy optimizations to communication optimization. This unique, handbook-like monograph assesses the state of the art in the area in a systematic and comprehensive way. The 21 coherent chapters by leading researchers provide complete and competent coverage of all relevant aspects of compiler optimization for scalable parallel systems. The book is divided into five parts on languages, analysis, communication optimizations, code generation, and run time systems. This book will serve as a landmark source for education, information, and reference to students, practitioners, professionals, and researchers interested in updating their knowledge about or active in parallel computing.




Proceedings of the 1995 International Conference on Parallel Processing


Book Description

This set of technical books contains all the information presented at the 1995 International Conference on Parallel Processing. This conference, held August 14 - 18, featured over 100 lectures from more than 300 contributors, and included three panel sessions and three keynote addresses. The international authorship includes experts from around the globe, from Texas to Tokyo, from Leiden to London. Compiled by faculty at the University of Illinois and sponsored by Penn State University, these Proceedings are a comprehensive look at all that's new in the field of parallel processing.




Scalable Shared Memory Multiprocessors


Book Description

Mathematics of Computing -- Parallelism.




User Community Discovery


Book Description

This book redefines community discovery in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field. Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities. User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.




Computer Organisation and Architecture


Book Description

Computer organization and architecture is becoming an increasingly important core subject in the areas of computer science and its applications, and information technology constantly steers the relentless revolution going on in this discipline. This textbook demystifies the state of the art using a simple and step-by-step development from traditional fundamentals to the most advanced concepts entwined with this subject, maintaining a reasonable balance among various theoretical principles, numerous design approaches, and their actual practical implementations. Being driven by the diversified knowledge gained directly from working in the constantly changing environment of the information technology (IT) industry, the author sets the stage by describing the modern issues in different areas of this subject. He then continues to effectively provide a comprehensive source of material with exciting new developments using a wealth of concrete examples related to recent regulatory changes in the modern design and architecture of different categories of computer systems associated with real-life instances as case studies, ranging from micro to mini, supermini, mainframes, cluster architectures, massively parallel processing (MPP) systems, and even supercomputers with commodity processors. Many of the topics that are briefly discussed in this book to conserve space for new materials are elaborately described from the design perspective to their ultimate practical implementations with representative schematic diagrams available on the book’s website. Key Features Microprocessor evolutions and their chronological improvements with illustrations taken from Intel, Motorola, and other leading families Multicore concept and subsequent multicore processors, a new standard in processor design Cluster architecture, a vibrant organizational and architectural development in building up massively distributed/parallel systems InfiniBand, a high-speed link for use in cluster system architecture providing a single-system image FireWire, a high-speed serial bus used for both isochronous real-time data transfer and asynchronous applications, especially needed in multimedia and mobile phones Evolution of embedded systems and their specific characteristics Real-time systems and their major design issues in brief Improved main memory technologies with their recent releases of DDR2, DDR3, Rambus DRAM, and Cache DRAM, widely used in all types of modern systems, including large clusters and high-end servers DVD optical disks and flash drives (pen drives) RAID, a common approach to configuring multiple-disk arrangements used in large server-based systems A good number of problems along with their solutions on different topics after their delivery Exhaustive material with respective figures related to the entire text to illustrate many of the computer design, organization, and architecture issues with examples are available online at http://crcpress.com/9780367255732 This book serves as a textbook for graduate-level courses for computer science engineering, information technology, electrical engineering, electronics engineering, computer science, BCA, MCA, and other similar courses.




1998 International Conference on Parallel Architectures and Compilation Techniques, Paris, France, October 12-18, 1998


Book Description

This text on parallel architectures and compilation techniques covers such topics as: loop transformations; shared memory design techniques; specialized multiprocessor systems; parallel programming languages; JAVA and multithreading processors; register allocation; and branch and value prediction."




Big Data Analytics: Systems, Algorithms, Applications


Book Description

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.