Titlebook: Languages, Compilers, and Run-Time Systems for Scalable Computers; 4th International Wo David R. O’Hallaron Conference proceedings 1998 Spr

古老

A Case for Combining Compile-Time and Run-Time Parallelization, a new compile-time analysis technique that can be used to parallelize most of these remaining parallel loops. This technique is designed to not only improve the results of compile-time parallelization, but also to produce low-cost, directed run-time tests that allow the system to defer binding of p

projectile

哺乳動物

Jan F. Prins,Siddhartha Chatterjee,Martin Simonspostdoctoral scholars in the fields of Cancer Biology, Oncology, Translational Medicine, Clinical Research, Biotechnology, Cell & Molecular Medicine, Pharmaceutical Scientists and Researchers involved in Drug Discovery..978-3-030-85170-5978-3-030-85168-2Series ISSN 1877-1246 Series E-ISSN 1877-1254

小丑

Languages, Compilers, and Run-Time Systems for Scalable Computers4th International Wo

冷淡周邊

Expressing Irregular Computations in Modern Fortran Dialects,rewriting and without sacrificing performance within the regular portions of the application. Since performance of nested data-parallel computation is unpredictable and often poor using current compilers, we investigate source-to-source transformation techniques that yield Fortran 90 programs with improved performance and performance stability.

HIKE

Memory System Support for Irregular Applications,s on an application-by-application basis. In this paper we describe the optimizations that the Impulse controller supports for sparse matrix-vector product, an important computational kernel, and outline the transformations that the compiler and runtime system must perform to exploit these optimizations.

cyanosis

衍生

PSA-velocity

On the Automatic Parallelization of Sparse and Irregular Fortran Programs,e/irregular programs led us to some common loop patterns. Based on these patterns three new techniques were derived that produced good speedups when manually applied to our benchmark codes. More importantly, these parallelization methods can be implemented in a parallelizing compiler and can be applied automatically.

秘傳

Compiler and Run-Time Support for Adaptive Load Balancing in Software Distributed Shared Memory Sysmemory programs. We use information provided by the compiler to help the run-time system distribute the work of the parallel loops, not only according to the relative power of the processors, but also in such a way as to minimize communication and page sharing.