Using MPI – Portable Parallel Programming with the Message–Passing Interface
Expert guidance for those programming today’s dual-core processors PCs As PC processors explode from one or two to now eight processors, there is an urgent need for programmers to master concurrent programming. This book dives deep into the latest technologies available to programmers for creating professional parallel applications using C#, .NET 4, and Visual Studio 2010. The book covers task-based programming, coordination data structures, PLINQ, thread pools, asynchronous programming model, and more. It also teaches other parallel programming techniques, such as SIMD and vectorization. Teaches programmers professional-level, task-based, parallel programming with C#, .NET 4, and Visual Studio 2010 Covers concurrent collections, coordinated data structures, PLINQ, thread pools, asynchronous programming model, Visual Studio 2010 debugging, and parallel testing and tuning Explores vectorization, SIMD instructions, and additional parallel libraries Master the tools and technology you need to develop thread-safe concurrent applications for multi-core systems, with Professional Parallel Programming with C#.
The objective of this project report is to explore the architecture of E1350 IBM eServer Cluster and parallel programming in OpenMP, MPI and MPI+OpenMP using Intel C/C++ Compilers. By implementing some applications using these programming models, we can analyze the effects of each of the model on speedup. I have used four applications to analyze the effects that are Jacobi Iterative Method, Alternating Direction Implicit (ADI), Matrix Multiplication and Bucket Sorting. The general observations are as follows: • Using MPI and MPI+OpenMP will not give significant speedup if used directly with the same program structure. We need to have modified the structure of the programs to reduce communication-to-computation ratio as much as possible. • Running threads on different physical processors can cause significant barrier. • When using 8-threads, synchronization must occur between all threads and this need communications between two physical processors. • Communications between two physical processors is expensive compare to communications between cores. Thus, more cost is paid in term of more waiting time at barrier.
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA – a parallel computing platform and programming model designed to ease the development of GPU programming – fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the «hard» and «soft» aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
Book Description* Helps readers examine exactly what it means to program computers * Emphasizes the development of problem-solving techniques through concepts and exercises that reflect today's programming practices * Unique focus on problem solving, rather than technology, supported by real-world business applications * Focuses on structured programming techniques, the building blocks of all forms of programming
The Paralation Model Architecture Independent Parallel Programming – Lisp S/W IBM
The Paralation Model Architecture Independent Parallel Programming – Lisp S/W Macintosh
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, parallel patterns, and dynamic parallelism are covered in depth. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices.NEW FOR THE THIRD EDITION- Parallel Patterns Includes several new chapters on frequently used parallel patterns (histogram, merge sort, and graph search).- Deep Learning A new chapter on deep learning has been added as an application case study.- Advanced CUDA Features The advanced features of CUDA are explored in a new chapter.- Pascal Recent GPU architectural features are covered, including Pascal.
"Patterns for Parallel Software Design" is essential reading for developers looking to understand patterns for parallel programming. Written from an architectural point of view, "Patterns for Parallel Software Design" presents a pattern-oriented software architecture approach to parallel software design providing solutions in concurrent and distributed programming, based on existing design knowledge. A pattern-oriented approach to parallel software design is not a design method in the classic sense, but a new way of managing and utilizing existing design knowledge for designing parallel programs. Using this approach leads to parallel software systems that are modular, adaptable, understandable and evolvable. Thus, this method aims to enhance not only build-time properties of parallel systems, but also their run-time properties. Key topics include: use of known solutions in concurrent and distributed programming, applied to the development of parallel programs. significant architectural patterns that describe how to divide an algorithm and/or data to find a suitable partition, and hence, link it with a programming structure that allows for such a division. delivers proven solutions to the problems faced by parallel programmers. Coverage is aimed at developers new to parallel programming, who require a base to understand parallel software design and implementation for future parallel platforms. "Patterns for Parallel Software Design" is an essential must-have guide for developers and programmers who want to solve unique design problems.
The book has been written after five years research about a query. In the presence of so many books of Graphic programming using C/C++.One chapter of book also discussed about the programming structure basics of c/c++ because before starting graphic programming students have to know about the basic things of programming structure. Authors of the book have hand on experience of programming. This book is divided in two main portions. First portion is consist is basic thing and Second portion is based on practical graphic programming. We have extensively used pictures to explain the programming ideas in detail; it helps the beginners to build their basic ideas necessary for programming A most important thing of this book is every code mentioned was tested before writing in book. We have tried our best to make book as easy as possible for the beginners. The purpose of this book is to introduce an easy approach and techniques, for the understandability of Graphic programming using C/C++.