The Effect of Optimizing Compilers on Architecture and Programs
Summary :
The first optimizing compiler was developed at IBM in order to prove that high level language programming could be as efficient as hand-coded machine language. Computer architecture and compiler optimization interacted through a feedback loop, from the high-level language computer architectures of the 1970s to the RISC machines of the 1980s. In the supercomputing community, the availability of effective vectorizing compilers delivered easy-to-use performance in the 1980s to the present. These compilers were successful at least in part because they could predict poor performance spots in the program and report these to users. This fostered a feedback loop between programmers and compilers to develop high performance programs. Future optimizing compilers for high performance computers and supercomputers will have to take advantage of both feedback loops.
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- IEICE TRANSACTIONS on Information Vol.E80-D No.4 pp.403-408
- Publication Date
- 1997/04/25
- Publicized
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- Special Section INVITED PAPER (Special Issue on Parallel and Distributed Supercomputing)
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Michael WOLFE, "The Effect of Optimizing Compilers on Architecture and Programs" in IEICE TRANSACTIONS on Information,
vol. E80-D, no. 4, pp. 403-408, April 1997, doi: .
Abstract: The first optimizing compiler was developed at IBM in order to prove that high level language programming could be as efficient as hand-coded machine language. Computer architecture and compiler optimization interacted through a feedback loop, from the high-level language computer architectures of the 1970s to the RISC machines of the 1980s. In the supercomputing community, the availability of effective vectorizing compilers delivered easy-to-use performance in the 1980s to the present. These compilers were successful at least in part because they could predict poor performance spots in the program and report these to users. This fostered a feedback loop between programmers and compilers to develop high performance programs. Future optimizing compilers for high performance computers and supercomputers will have to take advantage of both feedback loops.
URL: https://global.ieice.org/en_transactions/information/10.1587/e80-d_4_403/_p
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@ARTICLE{e80-d_4_403,
author={Michael WOLFE, },
journal={IEICE TRANSACTIONS on Information},
title={The Effect of Optimizing Compilers on Architecture and Programs},
year={1997},
volume={E80-D},
number={4},
pages={403-408},
abstract={The first optimizing compiler was developed at IBM in order to prove that high level language programming could be as efficient as hand-coded machine language. Computer architecture and compiler optimization interacted through a feedback loop, from the high-level language computer architectures of the 1970s to the RISC machines of the 1980s. In the supercomputing community, the availability of effective vectorizing compilers delivered easy-to-use performance in the 1980s to the present. These compilers were successful at least in part because they could predict poor performance spots in the program and report these to users. This fostered a feedback loop between programmers and compilers to develop high performance programs. Future optimizing compilers for high performance computers and supercomputers will have to take advantage of both feedback loops.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - The Effect of Optimizing Compilers on Architecture and Programs
T2 - IEICE TRANSACTIONS on Information
SP - 403
EP - 408
AU - Michael WOLFE
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E80-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 1997
AB - The first optimizing compiler was developed at IBM in order to prove that high level language programming could be as efficient as hand-coded machine language. Computer architecture and compiler optimization interacted through a feedback loop, from the high-level language computer architectures of the 1970s to the RISC machines of the 1980s. In the supercomputing community, the availability of effective vectorizing compilers delivered easy-to-use performance in the 1980s to the present. These compilers were successful at least in part because they could predict poor performance spots in the program and report these to users. This fostered a feedback loop between programmers and compilers to develop high performance programs. Future optimizing compilers for high performance computers and supercomputers will have to take advantage of both feedback loops.
ER -
English
