Languages and compilers for parallel computing : 7th International Workshop, Ithaca, NY, USA, August 8-10, 1994 : proceedings
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| 008 | 941207s1995 gw a b 100 0 eng | |
| 010 | ▼a 94047370 | |
| 020 | ▼a 354058868X (Berlin : acid-free paper) | |
| 040 | ▼a DLC ▼c DLC | |
| 049 | 1 | ▼l 121019171 ▼f 과학 |
| 050 | 0 0 | ▼a QA76.58 ▼b .W656 1994 |
| 082 | 0 0 | ▼a 005.2 ▼2 20 |
| 090 | ▼a 005.2 ▼b I61 | |
| 111 | 2 0 | ▼a Workshop on Languages and Compilers for Parallel Computing ▼n (7th : ▼d 1994 : ▼c Ithaca, N.Y.) |
| 245 | 1 0 | ▼a Languages and compilers for parallel computing : ▼b 7th International Workshop, Ithaca, NY, USA, August 8-10, 1994 : proceedings / ▼c K. Pingali ... [et al.], (eds.). |
| 260 | 0 | ▼a Berlin ; ▼a New York : ▼b Springer-Verlag, ▼c c1995. |
| 300 | ▼a xi, 496 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Lecture notes in computer science ; ▼v 892. |
| 500 | ▼a "Revised version of papers presented at Seventh Annual Workshop on Languages and Compilers for Parallel Computers." | |
| 504 | ▼a Includes bibliographical references. | |
| 650 | 0 | ▼a Programming languages (Electronic computers) ▼x Congresses. |
| 650 | 0 | ▼a Compilers (Computer programs) ▼x Congresses. |
| 650 | 0 | ▼a Parallel processing (Electronic computers) ▼x Congresses. |
| 700 | 1 1 | ▼a Pingali, Keshav. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/보존서고1(서양서)/ | 청구기호 005.2 I61 | 등록번호 121019171 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994.
The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, align- ment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation.
정보제공 :
목차
Fine-grain scheduling under resource constraints.- Mutation scheduling: A unified approach to compiling for fine-grain parallelism.- Compiler techniques for fine-grain execution on workstation clusters using PAPERS.- Solving alignment using elementary linear algebra.- Detecting and using affinity in an automatic data distribution tool.- Array distribution in data-parallel programs.- Communication-free parallelization via affine transformations.- Finding legal reordering transformations using mappings.- A new algorithm for global optimization for parallelism and locality.- Polaris: Improving the effectiveness of parallelizing compilers.- A formal approach to the compilation of data-parallel languages.- The data partitioning graph: Extending data and control dependencies for data partitioning.- Detecting value-based scalar dependence.- Minimal data dependence abstractions for loop transformations.- Differences in algorithmic parallelism in control flow and call multigraphs.- Flow-insensitive interprocedural alias analysis in the presence of pointers.- Incremental generation of index sets for array statement execution on distributed-memory machines.- A unified data-flow framework for optimizing communication.- Interprocedural communication optimizations for distributed memory compilation.- Analysis of event synchronization in parallel programs.- Computing communication sets for control parallel programs.- Optimizing parallel SPMD programs.- An overview of the Opus language and runtime system.- SIMPLE performance results in ZPL.- Cid: A parallel, "shared-memory" C for distributed-memory machines.- EQ: Overview of a new language approach for prototyping scientific computation.- Reshaping access patterns for generating sparse codes.- Evaluating two loop transformations for reducing multiple-writer false sharing.- Parallelizing tree algorithms: Overhead vs. parallelism.- Autoscheduling in a distributed shared-memory environment.- Optimizing array distributions in data-parallel programs.- Automatic reduction tree generation for fine-grain parallel architectures when iteration count is unknown.
정보제공 :