標(biāo)題: Titlebook: Automatic Parallelization; New Approaches to Co Christoph W. Ke?ler Book 1994 Springer Fachmedien Wiesbaden 1994 Fortran.Processing.Scala.a [打印本頁] 作者: Randomized 時間: 2025-3-21 18:46
書目名稱Automatic Parallelization影響因子(影響力)
作者: 嚴(yán)峻考驗 時間: 2025-3-22 00:01
https://doi.org/10.1007/978-3-322-87865-6Fortran; Processing; Scala; algorithms; benchmarking; code; communication; control; management; networks; opti作者: 莎草 時間: 2025-3-22 02:03
978-3-528-05401-4Springer Fachmedien Wiesbaden 1994作者: Militia 時間: 2025-3-22 06:06 作者: 金絲雀 時間: 2025-3-22 11:13
Targeting Transputer Systems, Past and Future,We discuss some features of three generations of INMOS transputer: the 32 bit T800 family, the 64 bit T9000 family, for which early Silicon is now available, and the recently initiated . programme. The impact of these features on automatic high-performance compilers is discussed.作者: CLOT 時間: 2025-3-22 14:59 作者: 約會 時間: 2025-3-22 18:00 作者: archaeology 時間: 2025-3-22 21:35
Ancient Indian Wisdom for Modern Businesslp of these parameters we explain the mu time of the following algorithms ., . and . on the parallel machine Ncube-2. The iPSC/860 Hypercube and the vector machine VP100 are analyzed in an other paper (see [3]). Our explanations are sometimes within 0.5% and almost always within 5% of the measured r作者: 在前面 時間: 2025-3-23 03:57 作者: botany 時間: 2025-3-23 08:05
Global Perspectives on Insurance Todaysystem levels and comprise autoparallelizing compilers for FORTRAN, Lisp and the operating system components for Virtual Shared Memory. This article describes our approach for automatic parallelizing sequential FORTRAN programs for distributed—memory MIMD architectures. Annotations are not needed an作者: 星球的光亮度 時間: 2025-3-23 13:25 作者: CODA 時間: 2025-3-23 16:05 作者: 使腐爛 時間: 2025-3-23 19:50 作者: 開始發(fā)作 時間: 2025-3-24 01:29 作者: 性冷淡 時間: 2025-3-24 04:57
,Intertextuality of Jeong Ji-yong’s Poems, and a runtime support library which allows to use the DMMs with a sequential language. The compiler computes a data distribution for the arrays of the source program and parallelizes the inner loops of the program. The data distribution is computed by a branch-and-bound algorithm that uses a perfor作者: sorbitol 時間: 2025-3-24 06:48
http://image.papertrans.cn/b/image/166434.jpg作者: Painstaking 時間: 2025-3-24 13:43
Isolating the Reasons for the Performance of Parallel Machines on Numerical Programs,lp of these parameters we explain the mu time of the following algorithms ., . and . on the parallel machine Ncube-2. The iPSC/860 Hypercube and the vector machine VP100 are analyzed in an other paper (see [3]). Our explanations are sometimes within 0.5% and almost always within 5% of the measured run times.作者: 飛行員 時間: 2025-3-24 15:03 作者: Choreography 時間: 2025-3-24 21:01 作者: Accede 時間: 2025-3-25 02:50 作者: 過時 時間: 2025-3-25 06:04 作者: cavity 時間: 2025-3-25 09:06 作者: COLON 時間: 2025-3-25 13:33
Predicting Execution Times of Sequential Scientific Kernels,oach considers the execution of each code fragment to involve the execution of a certain number of various basic operations, and predicts the execution time of the fragment using expected execution times for the basic operations, which can be derived automatically. Models are developed for five micr作者: EVEN 時間: 2025-3-25 16:36
Adaptor: A Compilation System for Data Parallel Fortran Programs, Therefore many results about speed-ups and efficiencies of real coEns are presented. Furthermore, the automatically generated message passing programs are compared with hand written message passing programs. The results will show that data parallel programs will be competitive to hand written messa作者: CLIFF 時間: 2025-3-25 23:18 作者: 加強防衛(wèi) 時間: 2025-3-26 01:46 作者: 羊欄 時間: 2025-3-26 04:32
mportance. 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 dat978-3-528-05401-4978-3-322-87865-6作者: 隼鷹 時間: 2025-3-26 08:51
,The Weight Finder — An Advanced Profiler for Fortran Programs,es are generally too large to analyze fully in depth with respect to performance tuning. It is the responsibility of the Weight Finder to detect the most important regions of code in the program, as far as execution time is concerned. Program transformation systems, compilers and users may then subs作者: 不安 時間: 2025-3-26 14:41 作者: 誓言 時間: 2025-3-26 17:13 作者: 高深莫測 時間: 2025-3-26 21:10
Adaptor: A Compilation System for Data Parallel Fortran Programs,ng has been proven to be very user-friendly, easy to Enbug and easy to use. But this programming moEnl is not available for most message passing multiprocessor architectures..Adaptor (Automatic Data Parallelism Translator) is a compilation system that transforms data parallel programs written in For作者: Anhydrous 時間: 2025-3-27 04:51
SNAP! Prototyping a Sequential and Numerical Application Parallelizer,system levels and comprise autoparallelizing compilers for FORTRAN, Lisp and the operating system components for Virtual Shared Memory. This article describes our approach for automatic parallelizing sequential FORTRAN programs for distributed—memory MIMD architectures. Annotations are not needed an作者: CLOT 時間: 2025-3-27 05:48 作者: G-spot 時間: 2025-3-27 11:20
Automatic Data Layout for Distributed-Memory Machines in the D Programming Environment,them extremely difficult to program. Most programmers feel uncomfortable working with a distributed-memoryprogramming model that requires explicit management of local name spaces. To address this problem, researchers have proposed using languages based on a global name space annotated with directive作者: CLOWN 時間: 2025-3-27 16:56 作者: Interim 時間: 2025-3-27 19:53 作者: 和平主義者 時間: 2025-3-28 00:23 作者: 不真 時間: 2025-3-28 03:31 作者: 隱士 時間: 2025-3-28 09:43 作者: Hiatal-Hernia 時間: 2025-3-28 12:18 作者: 提升 時間: 2025-3-28 16:44
The Architecture of Group Supervisionis programming style. Given a Fortran D program, the compiler uses data layout directives to automatically generate a single-program, multiple data (SPMD) node program for a given distributed-memory target machine.作者: Temporal-Lobe 時間: 2025-3-28 22:15
Knowledge-Based Automatic Parallelization by Pattern Recognition,ediction of the performance of the parallelized target code than usually possible. Together with mathematical background knowledge and parallel compiler engineering, this opens access to a new potential for automatic parallelization that has never been exploited before.作者: Anguish 時間: 2025-3-28 23:12 作者: LEER 時間: 2025-3-29 04:13
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 diffic作者: 彎腰 時間: 2025-3-29 07:19 作者: Optometrist 時間: 2025-3-29 11:48
SNAP! Prototyping a Sequential and Numerical Application Parallelizer,escribes our approach for automatic parallelizing sequential FORTRAN programs for distributed—memory MIMD architectures. Annotations are not needed and data distribution is done automatically at compile time.作者: Tremor 時間: 2025-3-29 16:25 作者: Bucket 時間: 2025-3-29 20:20 作者: ATRIA 時間: 2025-3-30 01:59
Automatic Parallelization for Distributed Memory Multiprocessors,ace at compile time and uses several parameters of the used DMM like the startup time and the byte transfer time. The paper also describes a prototype implementation of the framework on an Intel iPSC/860 for the language Pascal and discusses some experimental evaluations.
