John Cavazos – författare

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.

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.

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.

This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, including many experimental comparisons with state-of-the-art compiler frameworks, the book describes new approaches to solving the problem of selecting the best compiler optimizations and the phase-ordering problem, allowing readers to overcome the enormous complexity of choosing the right order of optimizations for each code segment in an application. As such, the book offers a valuable resource for a broad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers.

Itisourpleasuretopresentthepapersacceptedforthe22ndInternationalWo- shop on Languages and Compilers for Parallel Computing held during October 8–10 2009 in Newark Delaware, USA. Since 1986, LCPC has became a valuable venueforresearchersto reportonworkinthegeneralareaofparallelcomputing, high-performance computer architecture and compilers. LCPC 2009 continued this tradition and in particular extended the area of interest to new parallel computing accelerators such as the IBM Cell Processor and Graphic Processing Unit (GPU). This year we received 52 submissions from 15 countries. Each submission receivedatleastthreereviewsandmosthadfour.ThePCalsosoughtadditional externalreviewsforcontentiouspapers.ThePCheldanall-dayphoneconference on August 24 to discuss the papers. PC members who had a con?ict of interest were asked to leave the call temporarily when the corresponding papers were discussed. From the 52 submissions, the PC selected 25 full papers and 5 short paperstobeincludedintheworkshopproceeding,representinga58%acceptance rate. We were fortunate to have three keynote speeches, a panel discussion and a tutorial in this year’s workshop. First, Thomas Sterling, Professor of Computer Science at Louisiana State University, gave a keynote talk titled “HPC in Phase Change: Towards a New Parallel Execution Model.” Sterling argued that a new multi-dimensional research thrust was required to realize the design goals with regard to power, complexity, clock rate and reliability in the new parallel c- puter systems.ParalleX,anexploratoryexecutionmodeldevelopedbySterling’s group was introduced to guide the co-design of new architectures, programming methods and system software.

Itisourpleasuretopresentthepapersacceptedforthe22ndInternationalWo- shop on Languages and Compilers for Parallel Computing held during October 8–10 2009 in Newark Delaware, USA. Since 1986, LCPC has became a valuable venueforresearchersto reportonworkinthegeneralareaofparallelcomputing, high-performance computer architecture and compilers. LCPC 2009 continued this tradition and in particular extended the area of interest to new parallel computing accelerators such as the IBM Cell Processor and Graphic Processing Unit (GPU). This year we received 52 submissions from 15 countries. Each submission receivedatleastthreereviewsandmosthadfour.ThePCalsosoughtadditional externalreviewsforcontentiouspapers.ThePCheldanall-dayphoneconference on August 24 to discuss the papers. PC members who had a con?ict of interest were asked to leave the call temporarily when the corresponding papers were discussed. From the 52 submissions, the PC selected 25 full papers and 5 short paperstobeincludedintheworkshopproceeding,representinga58%acceptance rate. We were fortunate to have three keynote speeches, a panel discussion and a tutorial in this year’s workshop. First, Thomas Sterling, Professor of Computer Science at Louisiana State University, gave a keynote talk titled “HPC in Phase Change: Towards a New Parallel Execution Model.” Sterling argued that a new multi-dimensional research thrust was required to realize the design goals with regard to power, complexity, clock rate and reliability in the new parallel c- puter systems.ParalleX,anexploratoryexecutionmodeldevelopedbySterling’s group was introduced to guide the co-design of new architectures, programming methods and system software.