|Statement||edited by Lydia Kronsjö and Dean Shumsheruddin.|
|Contributions||Kronsjö, Lydia I., Shumsheruddin, Dean.|
|LC Classifications||QA76.642 .A38 1992|
|The Physical Object|
|Pagination||xiv, 481 p. :|
|Number of Pages||481|
|LC Control Number||92016740|
Additional Physical Format: Online version: Advances in parallel algorithms. New York: Halsted Press, © (OCoLC) Document Type: Book: All Authors / Contributors. Supercomputers, pipelining and farming; Parallel computing paradigms; Neural network paradigm; Parallel task-driven versus process-driven approaches; Parallel branch-and-bound method; Parallel divide-and-conquer approach; Parallel tree and graph searching; Parallel algebraic transformation approach; Parallel approximate and probabilistic methods; Parallel dynamic programming method; Parallel exploration of maze; Parallel graph reduction algorithms; Parallel algorithms . Books; Advances in Parallel Algorithms; Advances in Parallel Algorithms. Share. Info; Cover; Editors Dimov, I., Tonev, O. Pub. date January Pages Binding softcover ISBN print Subject Computer & Communication Sciences, Computer Science. Recommend this title to your librarian. Advances in Parallel Computing presents the theory and use of parallel computer systems, including vector, pipeline, array, fifth and future generation computers and neural computers. Within this context the book series covers all aspects of high-speed computing.
Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) are the most frequently used tools for programming according to the message passing paradigm, which is considered one of the best ways to develop parallel applications. This volume comprises 67 revised contributions presented at the. The Data Structures text and the Algorithms text focus on just the fundamentals. This book (Advanced Data Structures and Algorithms) is a place for reference material. The idea is that a student in the span of a year or less can cover those fundamentals and then move on the advanced topics in this book. 1 Possible topics. 10 Algorithm Books - Must Read for Developers Another gold tip to those who think that Algorithms are Data Structures is for those who want to work in Amazon, Google, Facebook, Intel, or Microsoft; remember it is the only skill which is timeless, of course, apart from UNIX, SQL, and C. Programming languages come and go, but the core of programming, which is algorithm . The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book Cited by: 7.
The increasing expansion of the application domain of parallel computing, as well as the development and introduction of new technologies and methodologies are covered in the Advances in Parallel Computing book series. The series publishes research and development results on all aspects of parallel computing. Advances in microelectronic technology have made massively parallel computing a reality and triggered an outburst of research activity in parallel processing architectures and algorithms. Distributed memory multiprocessors - parallel computers that consist of microprocessors. About these proceedings. Introduction. The message passing paradigm is the most frequently used approach to develop high-performancecomputing applications on paralleland distributed computing architectures. Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) are the two main representatives in this domain. Read the latest chapters of Advances in Parallel Computing at , Elsevier’s leading platform of peer-reviewed scholarly literature Software Technology, Algorithms, Architectures and Applications. Edited by G.R. Joubert, W.E. Nagel, F.J. Peters, select article A programming model for tree structured parallel and.