Results 1 - 10 of 12,426

Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks

by Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrell, Dennis Fetterly - In EuroSys , 2007
"... Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad applica-tion combines computational “vertices ” with communica-tion “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set of availa ..."
Abstract - Cited by 762 (27 self) - Add to MetaCart
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad applica-tion combines computational “vertices ” with communica-tion “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set

ABSTRACT

by Michael Isard, Andrew Birrell, Mihai Budiu, Dennis Fetterly, Yuan Yu
"... Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices ” with communication “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set of availabl ..."
Abstract - Add to MetaCart
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices ” with communication “channels ” to form a dataflow graph. Dryad runs the application by executing the vertices of this graph on a set

Exploiting coarse-grained task, data, and pipeline parallelism in stream programs,

by Michael I Gordon , William Thies , Saman Amarasinghe - Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS-XII, , 2006
"... Abstract As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attractive way to expose coarse-grained parallelism, as streaming applications (image, video, DSP, etc.) are naturall ..."
Abstract - Cited by 133 (6 self) - Add to MetaCart
Abstract As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attractive way to expose coarse-grained parallelism, as streaming applications (image, video, DSP, etc

Coarse-Grain Parallel Programming in Jade

by Monica S. Lam, Martin C. Rinard , 1991
"... This paper presents Jade, a language which allows a programmer to easily express dynamic coarse-grain parallelism. Starting with a sequential program, a programmer augments those sections of code to be parallelized with abstract data usage information. The compiler and run-time system use this inf ..."
Abstract - Cited by 51 (4 self) - Add to MetaCart
This paper presents Jade, a language which allows a programmer to easily express dynamic coarse-grain parallelism. Starting with a sequential program, a programmer augments those sections of code to be parallelized with abstract data usage information. The compiler and run-time system use

Irregular Coarse-Grain Data Parallelism Under LPARX

by Scott Kohn, Scott B. Baden - Journal of Scientific Programming
"... LPARX is a software development tool for implementing dynamic, irregular scientific applications, such as multilevel multilevel finite difference methods and particle methods, on high performance MIMD parallel architectures. It supports coarse grain data parallelism and gives the application complet ..."
Abstract - Cited by 18 (7 self) - Add to MetaCart
LPARX is a software development tool for implementing dynamic, irregular scientific applications, such as multilevel multilevel finite difference methods and particle methods, on high performance MIMD parallel architectures. It supports coarse grain data parallelism and gives the application

Attribute-based encryption for fine-grained access control of encrypted data

by Vipul Goyal, Amit Sahai, Omkant Pandey, Brent Waters - In Proc. of ACMCCS’06 , 2006
"... As more sensitive data is shared and stored by third-party sites on the Internet, there will be a need to encrypt data stored at these sites. One drawback of encrypting data, is that it can be selectively shared only at a coarse-grained level (i.e., giving another party your private key). We develop ..."
Abstract - Cited by 522 (23 self) - Add to MetaCart
As more sensitive data is shared and stored by third-party sites on the Internet, there will be a need to encrypt data stored at these sites. One drawback of encrypting data, is that it can be selectively shared only at a coarse-grained level (i.e., giving another party your private key). We

A Delay-Tolerant Network Architecture for Challenged Internets

by Kevin Fall , 2003
"... The highly successful architecture and protocols of today’s Internet may operate poorly in environments characterized by very long delay paths and frequent network partitions. These problems are exacerbated by end nodes with limited power or memory resources. Often deployed in mobile and extreme env ..."
Abstract - Cited by 953 (12 self) - Add to MetaCart
expectations of end-to-end connectivity and node resources. The architecture operates as an overlay above the transport layers of the networks it interconnects, and provides key services such as in-network data storage and retransmission, interoperable naming, authenticated forwarding and a coarse-grained

The nas parallel benchmarks

by D. H. Bailey, E. Barszcz, J. T. Barton, D. S. Browning, R. L. Carter, R. A. Fatoohi, P. O. Frederickson, T. A. Lasinski, H. D. Simon, V. Venkatakrishnan, S. K. Weeratunga - The International Journal of Supercomputer Applications , 1991
"... A new set of benchmarks has been developed for the performance evaluation of highly parallel supercomputers. These benchmarks consist of ve \parallel kernel " benchmarks and three \simulated application" benchmarks. Together they mimic the computation and data movement characterist ..."
Abstract - Cited by 694 (9 self) - Add to MetaCart
A new set of benchmarks has been developed for the performance evaluation of highly parallel supercomputers. These benchmarks consist of ve \parallel kernel " benchmarks and three \simulated application" benchmarks. Together they mimic the computation and data movement

Synchronous data flow

by Edward A. Lee, et al. , 1987
"... Data flow is a natural paradigm for describing DSP applications for concurrent implementation on parallel hardware. Data flow programs for signal processing are directed graphs where each node represents a function and each arc represents a signal path. Synchronous data flow (SDF) is a special case ..."
Abstract - Cited by 622 (45 self) - Add to MetaCart
Data flow is a natural paradigm for describing DSP applications for concurrent implementation on parallel hardware. Data flow programs for signal processing are directed graphs where each node represents a function and each arc represents a signal path. Synchronous data flow (SDF) is a special case

Europarl: A Parallel Corpus for Statistical Machine Translation

by Philipp Koehn
"... We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web 1. This corpus has found widespread use in the NLP community. Here, we focus on its acquisition and its application as training data for statistical machine translat ..."
Abstract - Cited by 519 (1 self) - Add to MetaCart
We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web 1. This corpus has found widespread use in the NLP community. Here, we focus on its acquisition and its application as training data for statistical machine
Results 1 - 10 of 12,426