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Charles E. Leiserson

Bio: Charles E. Leiserson is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Cilk & Scheduling (computing). The author has an hindex of 65, co-authored 185 publications receiving 49312 citations. Previous affiliations of Charles E. Leiserson include Vassar College & Carnegie Mellon University.


Papers
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Journal ArticleDOI
TL;DR: The hyperconcentrator switch as discussed by the authors uses ratioed nMOS and takes advantage of the relatively fast performance of large fan-in NOR gates in this technology to concentrate relatively few messages on many wires onto fewer wires.

4 citations

Proceedings Article
01 Jan 2011

4 citations

Patent
25 Nov 1986
TL;DR: In this article, a technique for controlling the routing of valid messages, such as digital data in bit-serial form, where such messages are supplied to a selected number of input terminals and circuitry is provided to make such valid messages available at selected ones of a plurality of output terminals which preferably are concentrated as adjacent ones of the output terminals.
Abstract: A technique for controlling the routing of valid messages, such as digital data in bit-serial form, for example, wherein such messages are supplied to a selected number of input terminals and circuitry is provided to make such valid messages available at selected ones of a plurality of output terminals which preferably are concentrated as adjacent ones of the output terminals. An overall concentrator system can use successive stages of devices having n+m input and n+m output terminals each device employing a plurality of gates which include one or more pulldown circuits, each pulldown circuit having no more than a fixed number of transistors in series, which number is independent of n and m. Such devices can be implemented by nMOS or domino CMOS integrated circuits so that the transistors are formed in a regular pattern of relatively high density at reasonable cost.

4 citations

01 Feb 1983
TL;DR: This paper describes and analyzes several algorithms for constructing systolic array networks from cells on a silicon wafer using a probabilistic model of cell failure, and attempts to construct networks whose maximum wire length is minimal.
Abstract: This paper describes and analyzes several algorithms for constructing systolic array networks from cells on a silicon wafer. Some of the cells may be defective, and thus the networks must be configured to avoid them. We adopt a probabilistic model of cell failure, and attempt to construct networks whose maximum wire length is minimal Although the algorithms presented are designed principally for application to the wafer-scale integration of one and two-dimensional systolic arrays, they can also be used to construct networks in well studied models of geometric complexity. Some of the algorithms are of considerable practical interest.

4 citations

Book ChapterDOI
11 Nov 1992

4 citations


Cited by
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Book
01 Jan 1996
TL;DR: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols.
Abstract: From the Publisher: A valuable reference for the novice as well as for the expert who needs a wider scope of coverage within the area of cryptography, this book provides easy and rapid access of information and includes more than 200 algorithms and protocols; more than 200 tables and figures; more than 1,000 numbered definitions, facts, examples, notes, and remarks; and over 1,250 significant references, including brief comments on each paper.

13,597 citations

Proceedings Article
25 Jul 2004
TL;DR: Four different RouGE measures are introduced: ROUGE-N, ROUge-L, R OUGE-W, and ROUAGE-S included in the Rouge summarization evaluation package and their evaluations.
Abstract: ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. It includes measures to automatically determine the quality of a summary by comparing it to other (ideal) summaries created by humans. The measures count the number of overlapping units such as n-gram, word sequences, and word pairs between the computer-generated summary to be evaluated and the ideal summaries created by humans. This paper introduces four different ROUGE measures: ROUGE-N, ROUGE-L, ROUGE-W, and ROUGE-S included in the ROUGE summarization evaluation package and their evaluations. Three of them have been used in the Document Understanding Conference (DUC) 2004, a large-scale summarization evaluation sponsored by NIST.

9,293 citations

Proceedings ArticleDOI
26 Mar 2000
TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
Abstract: The proliferation of mobile computing devices and local-area wireless networks has fostered a growing interest in location-aware systems and services. In this paper we present RADAR, a radio-frequency (RF)-based system for locating and tracking users inside buildings. RADAR operates by recording and processing signal strength information at multiple base stations positioned to provide overlapping coverage in the area of interest. It combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications. We present experimental results that demonstrate the ability of RADAR to estimate user location with a high degree of accuracy.

8,667 citations

Journal ArticleDOI
01 Apr 2012-Fly
TL;DR: It appears that the 5′ and 3′ UTRs are reservoirs for genetic variations that changes the termini of proteins during evolution of the Drosophila genus.
Abstract: We describe a new computer program, SnpEff, for rapidly categorizing the effects of variants in genome sequences. Once a genome is sequenced, SnpEff annotates variants based on their genomic locations and predicts coding effects. Annotated genomic locations include intronic, untranslated region, upstream, downstream, splice site, or intergenic regions. Coding effects such as synonymous or non-synonymous amino acid replacement, start codon gains or losses, stop codon gains or losses, or frame shifts can be predicted. Here the use of SnpEff is illustrated by annotating ~356,660 candidate SNPs in ~117 Mb unique sequences, representing a substitution rate of ~1/305 nucleotides, between the Drosophila melanogaster w1118; iso-2; iso-3 strain and the reference y1; cn1 bw1 sp1 strain. We show that ~15,842 SNPs are synonymous and ~4,467 SNPs are non-synonymous (N/S ~0.28). The remaining SNPs are in other categories, such as stop codon gains (38 SNPs), stop codon losses (8 SNPs), and start codon gains (297 SNPs) in...

8,017 citations