Prentice Hall, 1993. — 220 p. This book reviews contributions made to the field of parallel computational geometry since its inception about a decade ago. Parallel algorithms are presented for each problem, or family of problems, in computational geometry. The models of parallel computation used to develop these algorithms cover a very wide range, and include the parallel...
Singapore: World Scientific Publishing Company, 2022. — 399 p. This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize parallelization. The emphasis is on designing algorithms within the timeless and abstract context of a high-level programming language. The focus of the presentation is on practical applications of the...
Oxford: North Oxford Academic Publishing Company Limited, 1985. — 110 p. - ISBN: 0-946536-20-1. Language: English. The use of modular and parallel programming languages, and the development of distributed architectures is having a profound influence on computer programming and systems design; hardware and performance can now conspire to produce much higher operating speeds than...
Prentice Hall, 1994. — 237 p. Parallel computing is becoming an increasing cost-effective and affordable means for providing enormous computing power. Workstations are currently using parallel processing technology and will use it even more in the future. A large number of medium-priced multiprocessors are commercially available today. Numerous vendors of workstations are...
MIT Press, 1996. — 370. This book presents an introduction to some of the main problems, techniques, and algorithms underlying the programming of distributed-memory systems, such as computer networks, networks of workstations, and multiprocessors. It is intended mainly as a textbook for advanced undergraduates or first-year graduate students in computer science and requires no...
Addison-Wesley, 2006. — 381. Principles of Concurrent and Distributed Programming provides an introduction to concurrent programming focusing on general principles and not on specific systems. Software today is inherently concurrent or distributed -- from event-based GUI designs to operating and real-time systems to Internet applications. The new edition of this classic...
Addison-Wesley, 1988. — 533. This book treats all essential aspects of the theory of programming. The underlying logic is developed with elegance and rigour. It is illustrated by clear exposition of many simple examples. It is then applied, with matching elegance and simplicity, to a range of examples which have hitherto justified a reputation of baffling complexity. The...
Cambridge: Cambridge University Press, 2012. — 566 p. Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. In-depth coverage of complexity, power, reliability and performance, coupled with treatment of parallelism at all levels, including ILP and TLP, provides...
Prentice Hall, 1992, -326 p. The demands of both the scientific/engineering and the commercial communities for ever increasing computing power have led to dramatic improvements in computer architecture. Initial efforts concentrated on achieving high performance on a single processor, but the more recent past has been witness to attempts to harness multiple processors, with...
Springer, 2019. — 416 p. — ISBN: 978-981-13-6623-9. Few works are as timely and critical to the advancement of high performance computing than is this new up-to-date treatise on leading-edge directions of operating systems. It is a first-hand product of many of the leaders in this rapidly evolving field and possibly the most comprehensive. This new and important book...
Morgan Kaufmann, 2012. — 537 p. — ISBN: 978-0-12-397337-5. Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides...
Adam Hilger, 1981. — 432 p. The 1980s are likely to be the decade of the parallel computer, and it is the purpose of this book to provide an introduction to the topic. Although many computers have displayed examples of parallel or concurrent operation since the 1950s, it was not until 1974-5 that the first computers appeared that were designed specifically to use parallelism in...
Addison-Wesley, 1992. — 579 p. This book is an introduction to the design and analysis of parallel algorithms. There is sufficient material for a one-semester course at the senior or first-year graduate level, and for a follow-up graduate-level course covering more advanced material. Our principal model for algorithmic design is the shared-memory model; however, all of our...
John Wiley, 1985. — 386 p. In the 1930s the notion of an algorithm was formulated as a precise mathematical concept. The Turing machine was conceived and with remarkable simplicity captured the mechanism of problem solving; for the first time the notion of an algorithmically computable function was formalized. Now, 50 years later, the science of computing is a well-established...
Morgan Kaufmann, 1996. — 873. Distributed algorithms are algorithms designed to run on hardware consisting of many interconnected processors. Pieces of a distributed algorithm run concurrently and independently, each with only a limited amount of information. The algorithms are supposed to work correctly, even if the individual processors and communication channels operate at...
New York: Springer, 2021. — 167 p. This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of efficiency, it is difficult to...
Boca Raton: CRC Press, 2016. — 336 p. Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time...
Singapore, New Jersey, London, Hong Kong: JBW Printers and Binders Pte. Ltd., 1991. — 514 p. We are currently entering ah era of developed parallelism. Parallelism provides the high performance needed in science and engineering, the responsiveness required in real-time control, the fault-tolerance necessary for high reliability systems, etc. These capabilities become available...
Cambridge University Press, 1991. — 277 p. — (Cambridge Tracts in Theoretical Computer Science (Book 23)). — ISBN10: 0521400449, ISBN13: 978-0521400442. The stepwise development of complex systems through various levels of abstraction is good practice in software and hardware design. However, the semantic link between these different levels is often missing. This book is...
Society for Industrial and Applied Mathematics, 2001, -360 p. Distributed computing concerns environments in which many processors, located at different sites, must operate in a noninterfering and cooperative manner. Each of the processors enjoys a certain degree of autonomy: it executes its own protocol on its own private hardware and often has its own independent task to...
Hoboken: Wiley, 2017. — 528 p. Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core...
2nd edition. — Springer, 2013. — 522 p. — ISBN: 978-3-642-37800-3. Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the...
New York: Chapman and Hall/CRC, 2019. — 683 p. This book contains an introduction to parallel computing using Fortran. Fortran supports three types of parallel modes of computation: Coarray, OpenMP and Message Passing Interface (MPI). All three modes of parallel computation have been discussed in this book. In addition, the first part of the book contains a discussion on the...
Arcler Education Inc, 2019. — 290 p. — ISBN: 1774072270, 978-1774072271. Parallel Programming talks about a type of computation "parallel programming" and the parallel algorithm designed by technique "PCAM". It includes the description of parallel computer systems and parallelization of web compatibility tests in software development. It provides the reader with the...
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