Analytical Performance Prediction of Data-parallel Programs

Analytical Performance Prediction of Data-parallel Programs PDF Author: Mark J. Clement
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 232

Get Book Here

Book Description

Analytical Performance Prediction of Data-parallel Programs

Analytical Performance Prediction of Data-parallel Programs PDF Author: Mark J. Clement
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 232

Get Book Here

Book Description


Automatic Performance Prediction of Parallel Programs

Automatic Performance Prediction of Parallel Programs PDF Author: Thomas Fahringer
Publisher: Springer Science & Business Media
ISBN: 1461313716
Category : Computers
Languages : en
Pages : 279

Get Book Here

Book Description
Automatic Performance Prediction of Parallel Programs presents a unified approach to the problem of automatically estimating the performance of parallel computer programs. The author focuses primarily on distributed memory multiprocessor systems, although large portions of the analysis can be applied to shared memory architectures as well. The author introduces a novel and very practical approach for predicting some of the most important performance parameters of parallel programs, including work distribution, number of transfers, amount of data transferred, network contention, transfer time, computation time and number of cache misses. This approach is based on advanced compiler analysis that carefully examines loop iteration spaces, procedure calls, array subscript expressions, communication patterns, data distributions and optimizing code transformations at the program level; and the most important machine specific parameters including cache characteristics, communication network indices, and benchmark data for computational operations at the machine level. The material has been fully implemented as part of P3T, which is an integrated automatic performance estimator of the Vienna Fortran Compilation System (VFCS), a state-of-the-art parallelizing compiler for Fortran77, Vienna Fortran and a subset of High Performance Fortran (HPF) programs. A large number of experiments using realistic HPF and Vienna Fortran code examples demonstrate highly accurate performance estimates, and the ability of the described performance prediction approach to successfully guide both programmer and compiler in parallelizing and optimizing parallel programs. A graphical user interface is described and displayed that visualizes each program source line together with the corresponding parameter values. P3T uses color-coded performance visualization to immediately identify hot spots in the parallel program. Performance data can be filtered and displayed at various levels of detail. Colors displayed by the graphical user interface are visualized in greyscale. Automatic Performance Prediction of Parallel Programs also includes coverage of fundamental problems of automatic parallelization for distributed memory multicomputers, a description of the basic parallelization strategy and a large variety of optimizing code transformations as included under VFCS.

Performance Evaluation, Prediction and Visualization of Parallel Systems

Performance Evaluation, Prediction and Visualization of Parallel Systems PDF Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336

Get Book Here

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.

Performance Prediction and Tuning of Parallel Programs

Performance Prediction and Tuning of Parallel Programs PDF Author: Mark Edward Crovella
Publisher:
ISBN:
Category :
Languages : en
Pages : 302

Get Book Here

Book Description


Automatic Parallelization

Automatic Parallelization PDF Author: Christoph W. Kessler
Publisher: Springer Science & Business Media
ISBN: 3322878651
Category : Computers
Languages : en
Pages : 235

Get Book Here

Book Description
Distributed-memory multiprocessing systems (DMS), such as Intel's hypercubes, the Paragon, Thinking Machine's CM-5, and the Meiko Computing Surface, have rapidly gained user acceptance and promise to deliver the computing power required to solve the grand challenge problems of Science and Engineering. These machines are relatively inexpensive to build, and are potentially scalable to large numbers of processors. However, they are difficult to program: the non-uniformity of the memory which makes local accesses much faster than the transfer of non-local data via message-passing operations implies that the locality of algorithms must be exploited in order to achieve acceptable performance. The management of data, with the twin goals of both spreading the computational workload and minimizing the delays caused when a processor has to wait for non-local data, becomes of paramount importance. When a code is parallelized by hand, the programmer must distribute the program's work and data to the processors which will execute it. One of the common approaches to do so makes use of the regularity of most numerical computations. This is the so-called Single Program Multiple Data (SPMD) or data parallel model of computation. With this method, the data arrays in the original program are each distributed to the processors, establishing an ownership relation, and computations defining a data item are performed by the processors owning the data.

Predicting Performance of Parallel Analytics and Irregular Computations

Predicting Performance of Parallel Analytics and Irregular Computations PDF Author: Gangyi Zhu
Publisher:
ISBN:
Category :
Languages : en
Pages : 163

Get Book Here

Book Description
We start from predicting performance of the disk-based and in-situ parallel data analytics implemented in MapReduce-like frameworks. We take two distinct approaches towards performance prediction. We first expand SKOPE (a SKeleton framewOrk for Performance Exploration) with performance models for disk data read, cache performance, and page fault penalty. Second, an analytical performance model is also developed.

Parallel Programming and Applications

Parallel Programming and Applications PDF Author: Peter Fritzson
Publisher: IOS Press
ISBN: 9789051992298
Category : Computers
Languages : en
Pages : 450

Get Book Here

Book Description
ZEUS (Centres of European Supercomputing) is a network for information exchange and co-operation between European Supercomputer Centres. During the fall of 1994 the idea was put forward to start an annual workshop to stimulate the exchange of ideas and experience in parallel programming and computing between researchers and users from industry and academia. The first workshop in this series, the ZEUS '95 Workshop on Parallel Programming and Computation, is organized at Linkoping University, where the Swedish ZEUS centre, NSC (National Supercomputer Centre) is located. This is open for all researchers and users in the field of parallel computing.

Performance Analysis of Parallel Applications for HPC

Performance Analysis of Parallel Applications for HPC PDF Author: Jidong Zhai
Publisher: Springer Nature
ISBN: 9819943663
Category : Computers
Languages : en
Pages : 259

Get Book Here

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.

Euro-Par 2001 Parallel Processing

Euro-Par 2001 Parallel Processing PDF Author: Rizos Sakellariou
Publisher: Springer
ISBN: 3540446818
Category : Computers
Languages : en
Pages : 993

Get Book Here

Book Description
Euro-Par – the European Conference on Parallel Computing – is an international conference series dedicated to the promotion and advancement of all aspects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms, and applications for parallel computing. The objective of Euro-Par is to provide a forum within which to promote the dev- opment of parallel computing both as an industrial technique and an academic discipline, extending the frontiers of both the state of the art and the state of the practice. This is particularlyimportant at a time when parallel computing is undergoing strong and sustained development and experiencing real ind- trial take up. The main audience for and participants in Euro-Par are seen as researchers in academic departments, government laboratories, and industrial organisations. Euro-Par aims to become the primarychoice of such professionals for the presentation of new results in their speci?c areas. Euro-Par is also int- ested in applications that demonstrate the e?ectiveness of the main Euro-Par themes. Euro-Par has its own Internet domain with a permanent web site where the historyof the conference series is described: http://www. euro-par. org. The Euro-Par conference series is sponsored bythe Association of Computer Machineryand the International Federation of Information Processing. Euro-Par 2001 Euro-Par 2001 was organised bythe Universityof Manchester and UMIST.

 PDF Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 4947

Get Book Here

Book Description