Performance Tuning of Scientific Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Performance Tuning of Scientific Applications PDF full book. Access full book title Performance Tuning of Scientific Applications by David H. Bailey. Download full books in PDF and EPUB format.
Author: David H. Bailey
Publisher: CRC Press
ISBN: 1439815704
Category : Computers
Languages : en
Pages : 400
Get Book
Book Description
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas. Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring performance and managing large quantities of data Performance analysis: Discusses modern approaches to computer performance benchmarking and presents results that offer valuable insight into these studies Performance modeling: Explains how researchers deduce accurate performance models from raw performance data or from other high-level characteristics of a scientific computation Automatic performance tuning: Explores ongoing research into automatic and semi-automatic techniques for optimizing computer programs to achieve superior performance on any computer platform Application tuning: Provides examples that show how the appropriate analysis of performance and some deft changes have resulted in extremely high performance Performance analysis has grown into a full-fledged, sophisticated field of empirical science. Describing useful research in modern performance science and engineering, this book helps real-world users of parallel computer systems to better understand both the performance vagaries arising in scientific applications and the practical means for improving performance. Read about the book on HPCwire and insideHPC
Author: David H. Bailey
Publisher: CRC Press
ISBN: 1439815704
Category : Computers
Languages : en
Pages : 400
Get Book
Book Description
With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas. Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring performance and managing large quantities of data Performance analysis: Discusses modern approaches to computer performance benchmarking and presents results that offer valuable insight into these studies Performance modeling: Explains how researchers deduce accurate performance models from raw performance data or from other high-level characteristics of a scientific computation Automatic performance tuning: Explores ongoing research into automatic and semi-automatic techniques for optimizing computer programs to achieve superior performance on any computer platform Application tuning: Provides examples that show how the appropriate analysis of performance and some deft changes have resulted in extremely high performance Performance analysis has grown into a full-fledged, sophisticated field of empirical science. Describing useful research in modern performance science and engineering, this book helps real-world users of parallel computer systems to better understand both the performance vagaries arising in scientific applications and the practical means for improving performance. Read about the book on HPCwire and insideHPC
Author: Tien-Pao Shih
Publisher:
ISBN:
Category : Cache memory
Languages : en
Pages : 346
Get Book
Book Description
Abstract: "Performance tuning, as carried out by compiler designers and application programmers to close the performance gap between the achievable peak and delivered performance, becomes increasingly important and challenging as the microprocessor speeds and system sizes increase. However, although performance tuning on scientific codes usually deals with relatively small program regions, it is not generally known how to establish a reasonable performance objective and how to efficiently achieve this objective. We suggest a goal-directed approach and develop such an approach for each of three major system performance components: central processor unit (CPU) computation, memory accessing, and communication. For the CPU, we suggest using a machine-application performance model that characterizes workloads on four key function units (memory, floating-point, issue, and a virtual 'dependence unit') to produce an upper bound performance objective, and derive a mechanism to approach this objective. A case study shows an average 1.79x speedup achieved by using this approach for the Livermore Fortran Kernels 1-12 running on the IBM RS/6000. For memory, as compulsory and capacity misses are relatively easy to characterize, we derive a method for building application-specific cache behavior models that report the number of misses for all three types of conflict misses: self, cross, and ping-pong. The method uses averaging concepts to determine the expected number of cache misses instead of attempting to count them exactly in each instance, which provides a more rapid, yet realistic assessment of expected cache behavior. For each type of conflict miss, we propose a reduction method that uses one or a combination of three techniques based on modifying or exploiting data layout: array padding, initial address adjustment, and access resequencing. A case study using a blocked matrix multiply program as an example shows that the model is within 11% of the simulation results, and that each type of conflict miss can be effectively reduced or completely eliminated. For communication in shared memory parallel systems, we derive an array grouping mechanism and related loop transformations to reduce communication caused by the problematic case of nonconsecutive references to shared arrays and prove several theorems that determine when and where to apply this technique. The experimental results show a 15% reduction in communication, a 40% reduction in data subcache misses, and an 18% reduction in maximum user time for a finite element application on a 56 processor KSR1 parallel computer."
Author: Andy Tremayne
Publisher: McGraw-Hill Companies
ISBN: 9780072125498
Category : Database management
Languages : en
Pages : 0
Get Book
Book Description
Oracle users can turn to his handbook for a range of strategies, methodologies, hints, and tips that will allow them to solve performance problems. Included are real-world case studies, troubleshooting flowcharts, and detailed but simple methods for troubleshooting and fixing Oracle Application issues. The CD contains a Tuning Toolkit with optimization tools and extensions.
Author: Michael Kosta Loukides
Publisher: O'Reilly Media
ISBN: 9780937175606
Category : Computers
Languages : en
Pages : 350
Get Book
Book Description
Introduction to system performance; Monitoring system activity; Managing the workload; Memory performance; Disk performance issues; Network performance; Terminal performance; Kernel configuration.
Author: Michel Daydé
Publisher: Springer
ISBN: 3319173537
Category : Computers
Languages : en
Pages : 318
Get Book
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.
Author: Michèle Weiland
Publisher: Springer
ISBN: 3030206564
Category : Computers
Languages : en
Pages : 352
Get Book
Book Description
This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019. The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC.
Author: John Levesque
Publisher: CRC Press
ISBN: 1420077066
Category : Computers
Languages : en
Pages : 244
Get Book
Book Description
High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi
Author: Stefan Goedecker
Publisher: SIAM
ISBN: 9780898718218
Category : Computer architecture
Languages : en
Pages : 184
Get Book
Book Description
Performance Optimization of Numerically Intensive Codes offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest. The unique hands-on style is achieved by extensive case studies using realistic computational problems. The performance gain obtained by applying the techniques described in this book can be very significant. The book bridges the gap between the literature in system architecture, the one in numerical methods and the occasional descriptions of optimization topics in computer vendors' literature. It also allows readers to better judge the suitability of certain computer architecture to their computational requirements. In contrast to standard textbooks on computer architecture and on programming techniques the book treats these topics together at the level necessary for writing high-performance programs. The book facilitates easy access to these topics for computational scientists and engineers mainly interested in practical issues related to efficient code development.
Author: Radu Prodan
Publisher: Springer
ISBN: 3540692622
Category : Computers
Languages : en
Pages : 320
Get Book
Book Description
This monograph addresses four critical software development aspects for the engineering and execution of applications on parallel and Grid architectures. A new directive-based language called ZEN is proposed for compact specification of wide value ranges of interest for arbitrary application parameters. The monograph contributes to various research areas related to integrated tool development for efficient engineering and high performance execution of scientific applications in Grid environments.
Author: Terence Critchlow
Publisher: CRC Press
ISBN: 1439881413
Category : Computers
Languages : en
Pages : 432
Get Book
Book Description
Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world's most challenging problems. In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations. Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.
