Towards Automatic Performance Tuning PDF Download
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Author: I-Hsin Chung
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: I-Hsin Chung
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Ken Naono
Publisher: Springer Science & Business Media
ISBN: 1441969357
Category : Technology & Engineering
Languages : en
Pages : 379
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Book Description
Automatic Performance Tuning is a new software paradigm which enables software to be high performance in any computing environment. Its methodologies have been developed over the past decade, and it is now rapidly growing in terms of its scope and applicability, as well as in its scientific knowledge and technological methods. Software developers and researchers in the area of scientific and technical computing, high performance database systems, optimized compilers, high performance systems software, and low-power computing will find this book to be an invaluable reference to this powerful new paradigm.
Author: Cheng Xiang Feng
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We present a novel strategy for automatic performance tuning of GPU programs. The strategy combines heuristic search with regression trees, a machine learning model, to prune the optimization space. It samples configurations in the space as training data for a regression tree. It then focuses the search on the tree region with the best mean sample performance. Additional regression trees are built using the cumulative samples collected. This process is repeated until the given time budget is exhausted.We implement our strategy in OpenTuner, an open source automatic tuning framework. We evaluate the strategy using 8 benchmark GPU programs run on an Nvidia GTX 1060 GPU. We compare the effectiveness of our strategy in obtaining good performing configurations against the state-of-the-art AUC-Bandit strategy used by OpenTuner. Experimental results show that our strategy is more consistently able to obtain better performing configurations compared to OpenTunerâ s strategy, by up to 34% averaged over 100 auto-tuning experiments.
Author: David H. Bailey
Publisher: CRC Press
ISBN: 1439815704
Category : Computers
Languages : en
Pages : 395
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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 perf
Author: Dick Epema
Publisher: Springer Science & Business Media
ISBN: 3642038689
Category : Computers
Languages : en
Pages : 1126
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Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Parallel Computing, Euro-Par 2009, held in Delft, The Netherlands, in August 2009. The 85 revised papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed databases; grid, cluster, and cloud computing; peer-to-peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.
Author: José C. Cunha
Publisher: Springer
ISBN: 3540319255
Category : Computers
Languages : en
Pages : 1311
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Book Description
Euro-Par 2005 was the eleventh conference in the Euro-Par series. It was organized by the Centre for Informatics and Information Technology (CITI) and the Department of Informatics of the Faculty of Science and Technology of Universidade Nova de Lisboa, at the Campus of Monte de Caparica.
Author: Francisco Fernández Rivera
Publisher: Springer
ISBN: 3540246894
Category : Computers
Languages : en
Pages : 339
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Book Description
On behalf of the Program Committee, it is a pleasure for us to introduce the proceedings of the 1st European Across Grids Conference. This event was held in Santiago de Compostela, Spain, February 13-14, 2003. The conference,organized by the University of Santiago (USC), the University of A Coruna (UDC) and the Super computing Center of Galicia (CESGA), was promoted by the European Cross Grid project and supported by the Grid Start Cluster. The idea of organizing this event was born within the Cross Grid community. Cross Grid is developing its middleware, tools and applications in collaboration with Data Grid and Grid Lab and is open to collaboration with other Grid projects. USC, UDC and CESGA enthusiastically supported the conference idea. We consider the Across Grids Conference to be an important contribution to the objectives of the Grid Start project. The aim of this 1st European Across Grids Conference was to forge annual forum in which researchers linked to European projects could present their research results in the field of Grid computing. This conference does not tend to replace the Global Grid Forum. However, we do find that research being conducted within European projects deserves a special meeting in which all researchers participating in the Grid development challenge can exchange ideas, experiences and, chiefly, results. We would like the effort of organizing this forum to find continuity in the following years in other European cities. Our first interest was to bring together as many European Grid projects as possible. We believe we have been successful in attaining this aim. Papers and posters from Data Grid, Cross Grid, Damien, Data TAG, Grid Way and Grid Lab were presented, as well as results of research funded by national Grid projects, including NORDUGRID and several Spanish Grid initiatives, such as Rede Grid.
Author: Marios D. Dikaiakos
Publisher: Springer
ISBN: 354028642X
Category : Computers
Languages : en
Pages : 284
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Book Description
This book constitutes the thoroughly refereed post-proceedings of the Second European AcrossGrid Conference, AxGrids 2004, held in Nicosia, Cyprus in January 2004. The 27 revised full papers and 4 revised short papers presented were carefully selected during two rounds of reviewing and improvement from 57 submissions. The papers address the entire range of current topics in grid computing from computational and data grids to the semantic grid and grid application in various fields.
Author: David Sweet
Publisher: Simon and Schuster
ISBN: 1638356904
Category : Computers
Languages : en
Pages : 246
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Book Description
Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations
Author:
Publisher:
ISBN:
Category :
Languages : en
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TUNE was created to develop compiler-directed performance tuning technology targeting the Cray XT4 system at Oak Ridge. TUNE combines compiler technology for model-guided empirical optimization for memory hierarchies with SIMD code generation. The goal of this performance-tuning technology is to yield hand-tuned levels of performance on DOE Office of Science computational kernels, while allowing application programmers to specify their computations at a high level without requiring manual optimization. Overall, TUNE aims to make compiler technology for SIMD code generation and memory hierarchy optimization a crucial component of high-productivity Petaflops computing through a close collaboration with the scientists in national laboratories.
