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Automatic Translation of FORTRAN Programs to Vector Form
- ACM Transactions on Programming Languages and Systems
, 1987
"... This paper discusses the theoretical concepts underlying a project at Rice University to develop an automatic translator, called PFC (for Parallel FORTRAN Converter), from FORTRAN to FORTRAN 8x. The Rice project, based initially upon the research of Kuck and others at the University of Illinois [6, ..."
Abstract
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Cited by 329 (34 self)
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as PARAFRASE). Other projects that have influenced our work are the Texas Instruments ASC compiler [9, 33], the Cray-1 FORTRAN compiler [15], and the Massachusetts Computer Associates Vectorizer [22, 25]. The paper is organized into seven sections. Section 2 introduces FORTRAN 8x and gives examples of its use
Queue Response to Input Correlation Functions: Continuous Spectral Analysis
- IEEE/ACM Trans. Networking
, 1993
"... This paper, together with [1] and [2], opens a new window for the study of queueing performance in a richer, heterogeneous input environment. It offers a unique way to understand the effect of second- and higher-order input statistics on queues, and develops new concepts of traffic measurement, netw ..."
Abstract
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Cited by 127 (28 self)
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, network control and resource allocation for high speed networks in the frequency domain. The technique developed in this paper applies to the analysis of queue response to the individual effects of input power spectrum, bispectrum, trispectrum, and input rate steady state distribution. Our study provides
Austin, The Great State of Texas
"... Abstract 1 – In this paper, we propose a new class of branch predictors, complementary branch predictors, which can be easily added to any branch predictor to improve the overall prediction accuracy. This mechanism differs from conventional branch predictors in that it focuses only on mispredicted b ..."
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Abstract 1 – In this paper, we propose a new class of branch predictors, complementary branch predictors, which can be easily added to any branch predictor to improve the overall prediction accuracy. This mechanism differs from conventional branch predictors in that it focuses only on mispredicted branches. As a result, this mechanism has the advantages of scalability and flexibility (can be implemented with any branch predictor), but is not on the critical path. More specifically, this mechanism improves the branch prediction accuracy by predicting which future branch will be mispredicted next and when that will occur, and then it changes the predicted direction at the predicted time. Our results show that a branch predictor with the branch misprediction predictor achieves the same prediction accuracy as a conventional branch predictor that is 4 to 16 times larger, but without significantly increasing the overall complexity or lengthening the critical path. I.
Neurosci Methods
, 1991
"... Since the mid-Y980's, computers in elementary and middle grade schools have functioned to a large extent as a medium for student practice in the skills and concepts of basic mathematics and logic. This report presents the results of a 2-year nationwide field experiment designed to provide credi ..."
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Cited by 116 (0 self)
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credible evidence about the effects of using computers in mathematics instruction in grades five through eight. Ninety-six classes (48 peJrs of "computer " and "traditional " classes) taught by 56 teac%ers in 31 schools from 25 districts in 16 states participated in tne first year
A Practical Soft Type System for Scheme
- In Proceedings of the 1994 ACM Conference on LISP and Functional Programming
, 1993
"... Soft type systems provide the benefits of static type checking for dynamically typed languages without rejecting untypable programs. A soft type checker infers types for variables and expressions and inserts explicit run-time checks to transform untypable programs to typable form. We describe a prac ..."
Abstract
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Cited by 116 (4 self)
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-level definitions. Our implementation is available by anonymous FTP. The first author was supported in part by the United States Department of Defense under a National Defense Science and Engineering Graduate Fellowship. y The second author was supported by NSF grant CCR-9122518 and the Texas Advanced Technology
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