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Author: Vikram S. Adve
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 294
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Book Description
Author: Vikram S. Adve
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 294
Get Book Here
Book Description
Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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Book Description
Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.
Author: Jidong Zhai
Publisher: Springer Nature
ISBN: 9819943663
Category : Computers
Languages : en
Pages : 259
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Book Description
This book presents a hybrid static-dynamic approach for efficient performance analysis of parallel applications on HPC systems. Performance analysis is essential to finding performance bottlenecks and understanding the performance behaviors of parallel applications on HPC systems. However, current performance analysis techniques usually incur significant overhead. Our book introduces a series of approaches for lightweight performance analysis. We combine static and dynamic analysis to reduce the overhead of performance analysis. Based on this hybrid static-dynamic approach, we then propose several innovative techniques for various performance analysis scenarios, including communication analysis, memory analysis, noise analysis, computation analysis, and scalability analysis. Through these specific performance analysis techniques, we convey to readers the idea of using static analysis to support dynamic analysis. To gain the most from the book, readers should have a basic grasp of parallel computing, computer architecture, and compilation techniques.
Author: Vikram S. Adve
Publisher:
ISBN:
Category : Assembling (Electronic computers)
Languages : en
Pages : 34
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Book Description
Abstract: "To support the transition from programming languages in which parallelism and communication are explicit to high-level languages that rely on compilers to infer such details from data decomposition directives, tools for performance analysis require increased sophistication and integration with other components in the programming system. We explore integration of performance tools with compilers for data parallel languages by integrating the Rice Fortran 77D compiler and the Illinois Pablo Environment. This integration permits analysis and correlation of the compiler-generated code's dynamic behavior and performance with the original data parallel source code. We expect that our strategy can serve as a model for integration of other data parallel compilers and performance tools."
Author: Foster
Publisher:
ISBN: 9787115103475
Category : Computer programming
Languages : zh-CN
Pages : 381
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Book Description
国外著名高等院校信息科学与技术优秀教材
Author: Rainer Keller
Publisher: Springer Science & Business Media
ISBN: 3540685642
Category : Computers
Languages : en
Pages : 203
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Book Description
Developing software for current and especially for future architectures will require knowledge about parallel programming techniques of applications and library p- grammers. Multi-core processors are already available today, and processors with a dozen and more cores are on the horizon. The major driving force in hardware development, the game industry, has - ready shown interest in using parallel programming paradigms, such as OpenMP for further developments. Therefore developers have to be supported in the even more complex task of programming for these new architectures. HLRS has a long-lasting tradition of providing its user community with the most up-to-date software tools. Additionally, important research and development projects are worked on at the center: among the software packages developed are the MPI correctness checker Marmot, the OpenMP validation suite and the M- implementations PACX-MPI and Open MPI. All of these software packages are - ing extended in the context of German and European community research projects, such as ParMA, the InterActive European Grid (I2G) project and the German C- laborative Research Center (Sonderforschungsbereich 716). Furthermore, ind- trial collaborations, i.e. with Intel and Microsoft allow HLRS to get its software production-grade ready. In April 2007, a European project on Parallel Programming for Multi-core - chitectures, in short ParMA was launched, with a major focus on providing and developing tools for parallel programming.
Author: Matthias S. Müller
Publisher: Springer Science & Business Media
ISBN: 3642112617
Category : Computers
Languages : en
Pages : 190
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Book Description
As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.
Author: Alexey Cheptsov
Publisher: Springer Science & Business Media
ISBN: 3642373496
Category : Computers
Languages : en
Pages : 167
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Book Description
The latest advances in the High Performance Computing hardware have significantly raised the level of available compute performance. At the same time, the growing hardware capabilities of modern supercomputing architectures have caused an increasing complexity of the parallel application development. Despite numerous efforts to improve and simplify parallel programming, there is still a lot of manual debugging and tuning work required. This process is supported by special software tools, facilitating debugging, performance analysis, and optimization and thus making a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools, which were presented and discussed at the 6th International Parallel Tools Workshop, held in Stuttgart, Germany, 25-26 September 2012.
Author: Thomas Rauber
Publisher: Springer Science & Business Media
ISBN: 364204817X
Category : Computers
Languages : en
Pages : 463
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Book Description
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 range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
Author: Katherine Eve Isaacs
Publisher:
ISBN: 9781339543987
Category :
Languages : en
Pages :
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Book Description
Large-scale parallel computing, in the form of simulations and numerical libraries, plays an important role in modern scientific exploration. Performance improvements to these simulations and libraries enable larger or more-detailed mathematical models as well as increased scientific throughput on the supercomputers on which they run. Finding, understanding, and ultimately correcting performance problems is difficult due to the scale and complexity of these applications and their interactions with specific hardware setups. In order to analyze performance behavior, measurements must be recorded during program execution. Tracing is a common performance measurement technique that records individual events in time, such as the beginning and ending of functions and messages sent between processors. Analysts can then reconstruct a history of what occurred from the trace. However, by their nature, traces quickly grow large and the events compose complex patterns of behavior. Little about possible problems and their root causes is known a priori, requiring exploration. Visualization is frequently employed to aid in this process. The prevalent forms of visualization emphasize the exact physical timestamps and state classes of the trace events. There is little linking the depiction back to the source code. The analyst must independently keep track of how the data relates back to the program. In practice, the visualization is either too detailed and cluttered or too aggregated and simple depending on the time interval. We contribute a structure-based approach to trace visualization and analysis that prioritizes representing the parallel organization of events that is familiar to the developer. We call this organization the logical structure and develop a framework for calculating it from trace data. Following this framework, we build algorithms for extracting logical structure from two parallel programming models: process-based message passing and task-based Charm++. Using the logical structure, we define new performance metrics and design a scalable visualization that supports several levels of abstraction.
