| 000 | 00955camuuu200277 a 4500 | |
| 001 | 000000590065 | |
| 005 | 19980602161345.0 | |
| 008 | 940112s1994 gw a b 001 0 eng | |
| 010 | ▼a 94002106 | |
| 020 | ▼a 3540577386 (Berlin : acid-free paper) | |
| 020 | ▼a 0387577386 (New York : acid-free paper) | |
| 040 | ▼a DLC ▼c DLC | |
| 049 | 1 | ▼l 121003250 ▼f 과학 |
| 050 | 0 0 | ▼a QA76.642 ▼b .V57 1994 |
| 082 | 0 0 | ▼a 005.2 ▼2 20 |
| 090 | ▼a 005.2 ▼b T655v | |
| 100 | 1 | ▼a Tomas, Gerald. |
| 245 | 1 0 | ▼a Visualization of scientific parallel programs / ▼c Gerald Tomas, Christoph W. Ueberhuber. |
| 260 | ▼a Berlin ; ▼a New York : ▼b Springer-Verlag, ▼c c1994. | |
| 300 | ▼a xi, 310 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Lecture notes in computer science ; ▼v 771. |
| 504 | ▼a Includes bibliographical references (p. [261]-300) and index. | |
| 650 | 0 | ▼a Parallel programming (Computer science). |
| 650 | 0 | ▼a Visualization. |
| 700 | 1 | ▼a Ueberhuber, Christoph W., ▼d 1946-. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/보존서고1(서양서)/ | 청구기호 005.2 T655v | 등록번호 121003250 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The substantial effort of parallelizing scientific programs is only justified if the resulting codes are efficient. Thus, all types of performance tuning are important to parallel software development. But performance improvements are much more difficult to achieve with parallel programs than with sequential programs. One way to overcome this difficulty is to bring in graphical tools. This monograph covers recent developments in parallel program visualization techniques and tools and demonstrates the application of specific visualization techniques and software tools to scientific parallel programs. The solution of initial value problems of ordinary differential equations, and numerical integration are treated in detail as two important examples.
정보제공 :
목차
Visualization tools.- Design goals and techniques.- Available software.- Paragraph.- Parallel IDeC methods.- Performance modelling and evaluation of parallel IDeC methods.- Representative target machines.- Trace file.- IDeC-specific displays.- Shared memory IDeC methods.- Distributed memory IDeC methods.- Parallel integration.- Simulated target machines.- Trace file.- Integration-specific displays.- Visualization of parallel integration algorithms.
정보제공 :