Author: Alakananda Bhattacharya
Publisher: Springer
ISBN: 3540334599
Category : Computers
Languages : en
Pages : 302
Book Description
This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets. The hardwired realization of the Petri net based framework is presented in detail, and principles of mapping of a logic program on to the proposed framework are outlined. Finally, the book explores the scope of Petri net models in designing next-generation deductive database machines.
Parallel and Distributed Logic Programming
Author: Alakananda Bhattacharya
Publisher: Springer
ISBN: 3540334599
Category : Computers
Languages : en
Pages : 302
Book Description
This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets. The hardwired realization of the Petri net based framework is presented in detail, and principles of mapping of a logic program on to the proposed framework are outlined. Finally, the book explores the scope of Petri net models in designing next-generation deductive database machines.
Publisher: Springer
ISBN: 3540334599
Category : Computers
Languages : en
Pages : 302
Book Description
This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets. The hardwired realization of the Petri net based framework is presented in detail, and principles of mapping of a logic program on to the proposed framework are outlined. Finally, the book explores the scope of Petri net models in designing next-generation deductive database machines.
Models for Parallel and Distributed Computation
Author: R. Correa
Publisher: Springer Science & Business Media
ISBN: 1475736096
Category : Computers
Languages : en
Pages : 334
Book Description
Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.
Publisher: Springer Science & Business Media
ISBN: 1475736096
Category : Computers
Languages : en
Pages : 334
Book Description
Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technolo gies, played a central role in the rapid growth of the interest in the use of parallel and distributed computation in a number of areas of engineering and sciences. Many actual applications have been successfully implemented in various plat forms varying from pure shared-memory to totally distributed models, passing through hybrid approaches such as distributed-shared memory architectures. Parallel and distributed computation differs from dassical sequential compu tation in some of the following major aspects: the number of processing units, independent local dock for each unit, the number of memory units, and the programming model. For representing this diversity, and depending on what level we are looking at the problem, researchers have proposed some models to abstract the main characteristics or parameters (physical components or logical mechanisms) of parallel computers. The problem of establishing a suitable model is to find a reasonable trade-off among simplicity, power of expression and universality. Then, be able to study and analyze more precisely the behavior of parallel applications.
Topics in Parallel and Distributed Computing
Author: Sushil K Prasad
Publisher: Morgan Kaufmann
ISBN: 0128039388
Category : Computers
Languages : en
Pages : 359
Book Description
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. - Contributed and developed by the leading minds in parallel computing research and instruction - Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline - Succinctly addresses a range of parallel and distributed computing topics - Pedagogically designed to ensure understanding by experienced engineers and newcomers - Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts
Publisher: Morgan Kaufmann
ISBN: 0128039388
Category : Computers
Languages : en
Pages : 359
Book Description
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. - Contributed and developed by the leading minds in parallel computing research and instruction - Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline - Succinctly addresses a range of parallel and distributed computing topics - Pedagogically designed to ensure understanding by experienced engineers and newcomers - Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts
Introduction to Parallel Programming
Author: Subodh Kumar
Publisher: Cambridge University Press
ISBN: 1009276301
Category : Computers
Languages : en
Pages :
Book Description
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
Publisher: Cambridge University Press
ISBN: 1009276301
Category : Computers
Languages : en
Pages :
Book Description
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
Foundations of Multithreaded, Parallel, and Distributed Programming
Author: Gregory R. Andrews
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 696
Book Description
Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern Includes a number of case studies which cover such topics as pthreads, MPI, and OpenMP libraries, as well as programming languages like Java, Ada, high performance Fortran, Linda, Occam, and SR Provides examples using Java syntax and discusses how Java deals with monitors, sockets, and remote method invocation Covers current programming techniques such as semaphores, locks, barriers, monitors, message passing, and remote invocation Concrete examples are executed with complete programs, both shared and distributed Sample applications include scientific computing and distributed systems 0201357526B04062001
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 696
Book Description
Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern Includes a number of case studies which cover such topics as pthreads, MPI, and OpenMP libraries, as well as programming languages like Java, Ada, high performance Fortran, Linda, Occam, and SR Provides examples using Java syntax and discusses how Java deals with monitors, sockets, and remote method invocation Covers current programming techniques such as semaphores, locks, barriers, monitors, message passing, and remote invocation Concrete examples are executed with complete programs, both shared and distributed Sample applications include scientific computing and distributed systems 0201357526B04062001
Extensions of Logic Programming
Author: Roy Dyckhoff
Publisher: Springer Science & Business Media
ISBN: 9783540580256
Category : Computers
Languages : en
Pages : 376
Book Description
The papers in this volume are extended versions of presentations at the fourth International Workshop on Extensions of Logic Programming, held at the University of St Andrews, March/April 1993. Among the topics covered in the volume are: defintional reflection and completion, modules in lambda-Prolog, representation of logics as partial inductive definitions, non-procedural logic programming, knowledge representation, contradiction avoidance, disjunctive databases, strong negation, linear logic programming, proof theory and regular search spaces, finite sets and constraint logic programming, search-space pruning and universal algebra, and implementation on transputer networks.
Publisher: Springer Science & Business Media
ISBN: 9783540580256
Category : Computers
Languages : en
Pages : 376
Book Description
The papers in this volume are extended versions of presentations at the fourth International Workshop on Extensions of Logic Programming, held at the University of St Andrews, March/April 1993. Among the topics covered in the volume are: defintional reflection and completion, modules in lambda-Prolog, representation of logics as partial inductive definitions, non-procedural logic programming, knowledge representation, contradiction avoidance, disjunctive databases, strong negation, linear logic programming, proof theory and regular search spaces, finite sets and constraint logic programming, search-space pruning and universal algebra, and implementation on transputer networks.
Programming Language Implementation and Logic Programming
Author: Pierre Deransart
Publisher: Springer Science & Business Media
ISBN: 9783540530107
Category : Computers
Languages : en
Pages : 420
Book Description
This volume consists of the papers accepted for presentation at the second international workshop on Programming Language Implementation and Logic Programming (PLILP '90) held in Linköping, Sweden, August 20-22, 1990. The aim of the workshop was to identify concepts and techniques used both in implementation of programming languages, regardless of the underlying programming paradigm, and in logic programming. The intention was to bring together researchers working in these fields. The volume includes 26 selected papers falling into two categories. Papers in the first category present certain ideas from the point of view of a particular class of programming languages, or even a particular language. The ideas presented seem to be applicable in other classes of languages. Papers in the second category directly address the problem of integration of various programming paradigms. The proceedings of the predecessor workshop PLILP '88, held in Orléans, France, May 16-18, 1988, are available as Lecture Notes in Computer Science, Vol. 348.
Publisher: Springer Science & Business Media
ISBN: 9783540530107
Category : Computers
Languages : en
Pages : 420
Book Description
This volume consists of the papers accepted for presentation at the second international workshop on Programming Language Implementation and Logic Programming (PLILP '90) held in Linköping, Sweden, August 20-22, 1990. The aim of the workshop was to identify concepts and techniques used both in implementation of programming languages, regardless of the underlying programming paradigm, and in logic programming. The intention was to bring together researchers working in these fields. The volume includes 26 selected papers falling into two categories. Papers in the first category present certain ideas from the point of view of a particular class of programming languages, or even a particular language. The ideas presented seem to be applicable in other classes of languages. Papers in the second category directly address the problem of integration of various programming paradigms. The proceedings of the predecessor workshop PLILP '88, held in Orléans, France, May 16-18, 1988, are available as Lecture Notes in Computer Science, Vol. 348.
Implementations of Logic Programming Systems
Author: Evan Tick
Publisher: Springer Science & Business Media
ISBN: 1461526906
Category : Computers
Languages : en
Pages : 260
Book Description
This volume is a collection of research papers in the area of the implementation of logic programming systems. It will be of immediate interest to practitioners who seek an understanding of how to efficiently manage memory, generate fast code, perform sophisticated static analyses, and design high-performance runtime features. A major theme throughout the book is how to effectively leverage host implementation systems and technologies to implement target systems. The book is also beneficial for future reference because it summarizes a wealth of systems implementation experience of the researchers shaping the field over the past ten years. Another theme of the book is compilation techniques to boost performance. The field of static analysis for logic programs is a rapidly developing field that deserves a volume on its own. Implementations of Logic Programming Systems is an excellent reference and may be used as a text for a course on the subject.
Publisher: Springer Science & Business Media
ISBN: 1461526906
Category : Computers
Languages : en
Pages : 260
Book Description
This volume is a collection of research papers in the area of the implementation of logic programming systems. It will be of immediate interest to practitioners who seek an understanding of how to efficiently manage memory, generate fast code, perform sophisticated static analyses, and design high-performance runtime features. A major theme throughout the book is how to effectively leverage host implementation systems and technologies to implement target systems. The book is also beneficial for future reference because it summarizes a wealth of systems implementation experience of the researchers shaping the field over the past ten years. Another theme of the book is compilation techniques to boost performance. The field of static analysis for logic programs is a rapidly developing field that deserves a volume on its own. Implementations of Logic Programming Systems is an excellent reference and may be used as a text for a course on the subject.
Computational Intelligence, II
Author: G. Mauri
Publisher: Elsevier
ISBN: 044459728X
Category : Computers
Languages : en
Pages : 246
Book Description
The focus of this volume is ``Heterogeneous Knowledge and Problem Solving Integration'', i.e. the combined use of different knowledge representation and problem solving paradigms.This is a central topic for the design and implementation of problem solving systems, since, from a pragmatic and engineering standpoint, the solution of a large class of problems cannot take place within one single representation language or problem solving paradigm. Heterogeneous systems represent not only a pragmatic answer, but also a theoretical alternative to the homogeneous paradigms.
Publisher: Elsevier
ISBN: 044459728X
Category : Computers
Languages : en
Pages : 246
Book Description
The focus of this volume is ``Heterogeneous Knowledge and Problem Solving Integration'', i.e. the combined use of different knowledge representation and problem solving paradigms.This is a central topic for the design and implementation of problem solving systems, since, from a pragmatic and engineering standpoint, the solution of a large class of problems cannot take place within one single representation language or problem solving paradigm. Heterogeneous systems represent not only a pragmatic answer, but also a theoretical alternative to the homogeneous paradigms.
Inductive Logic Programming
Author: Nicolas Lachiche
Publisher: Springer
ISBN: 3319780905
Category : Mathematics
Languages : en
Pages : 195
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
Publisher: Springer
ISBN: 3319780905
Category : Mathematics
Languages : en
Pages : 195
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.