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The Rise of the Commodity Vectors

by Satoshi Matsuoka
"... Abstract: Commodity clusters revolutionized high performance computing in a fundamental way since its first inception, and now now dominate many of the world’s premiere supercomputers on the Top500, growing to the scale of over 10,000 CPU cores and beyond. Still,"classical " specialized ve ..."
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sparse codes Finally, however, commoditization of vector computing is on the rise, lead by multimedia application requirements, and spurred many architectures to arise such as GPUs and the Cell processor. But various problems still remain by which we cannot claim with 100 % confidence that commodity

Efficient Execution of Recursive Programs on Commodity Vector Hardware

by Bin Ren , Youngjoon Jo , Sriram Krishnamoorthy , Kunal Agrawal , Milind Kulkarni
"... Abstract The pursuit of computational efficiency has led to the proliferation of throughput-oriented hardware, from GPUs to increasingly wide vector units on commodity processors and accelerators. This hardware is designed to efficiently execute data-parallel computations in a vectorized manner. Ho ..."
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Abstract The pursuit of computational efficiency has led to the proliferation of throughput-oriented hardware, from GPUs to increasingly wide vector units on commodity processors and accelerators. This hardware is designed to efficiently execute data-parallel computations in a vectorized manner

Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-dual algorithm

by Alexander L. Stolyar - Queueing Systems , 2005
"... We study a model of controlled queueing network, which operates and makes control decisions in discrete time. An underlying random network mode determines the set of available controls in each time slot. Each control decision \produces " a certain vector of \commodities"; it also has assoc ..."
Abstract - Cited by 204 (9 self) - Add to MetaCart
We study a model of controlled queueing network, which operates and makes control decisions in discrete time. An underlying random network mode determines the set of available controls in each time slot. Each control decision \produces " a certain vector of \commodities"; it also has

An efficient dynamic auction for heterogeneous commodities

by M. Ausubel, Ken Binmore, Peter Cramton, John Ledyard, Paul Milgrom, Thayer Morrill, Ennio Stacchetti - The American Economic Review , 2006
"... This article proposes a new dynamic design for auctioning multiple heterogeneous commodities. An auctioneer wishes to allocate K types of commodities among n bidders. The auctioneer announces a vector of current prices, bidders report quantities demanded at these prices, and the auctioneer adjusts t ..."
Abstract - Cited by 106 (9 self) - Add to MetaCart
This article proposes a new dynamic design for auctioning multiple heterogeneous commodities. An auctioneer wishes to allocate K types of commodities among n bidders. The auctioneer announces a vector of current prices, bidders report quantities demanded at these prices, and the auctioneer adjusts

Scalable algorithms for molecular dynamics simulations on commodity clusters

by Kevin J. Bowers, Edmond Chow, Huafeng Xu, Ron O. Dror, Michael P. Eastwood, Brent A. Gregersen, John L. Klepeis, Istvan Kolossvary, Mark A. Moraes, Federico D. Sacerdoti, John K. Salmon, Yibing Shan, David E. Shaw - In SC ’06: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing , 2006
"... Although molecular dynamics (MD) simulations of biomolecular systems often run for days to months, many events of great scientific interest and pharmaceutical relevance occur on long time scales that remain beyond reach. We present several new algorithms and implementation techniques that significan ..."
Abstract - Cited by 68 (5 self) - Add to MetaCart
developed numerical techniques that maintain high accuracy while using single precision computation in order to exploit processor-level vector instructions. These methods are embodied in a newly developed MD code called Desmond that achieves unprecedented simulation throughput and parallel scalability

Commodity Prices, Growth, and the Natural Resource Curse: Reconciling a Conundrum

by Paul Collier, Benedikt Goderis , 2007
"... Currently, evidence on the ‘resource curse’ yields a conundrum. While there is much crosssection evidence to support the curse hypothesis, time series analyses using vector autoregressive (VAR) models have found that commodity booms raise the growth of commodity exporters. This paper adopts panel co ..."
Abstract - Cited by 70 (12 self) - Add to MetaCart
Currently, evidence on the ‘resource curse’ yields a conundrum. While there is much crosssection evidence to support the curse hypothesis, time series analyses using vector autoregressive (VAR) models have found that commodity booms raise the growth of commodity exporters. This paper adopts panel

Multi-commodity allocation for dynamic demands using PageRank vectors

by Fan Chung, Paul Horn, Jacob Hughes
"... We consider a variant of the contact process concerning multi-commodity allocation on networks. In this process, the demands for several types of commodities are initially given at some specified vertices and then the demands spread interactively on a contact graph. To allocate supplies in such a ..."
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We consider a variant of the contact process concerning multi-commodity allocation on networks. In this process, the demands for several types of commodities are initially given at some specified vertices and then the demands spread interactively on a contact graph. To allocate supplies in such a

Digital Pheromone Implementation of PSO with Velocity Vector Accelerated by Commodity Graphics Hardware

by Vijay Kalivarapu, Eliot Winer
"... In this paper, a model for Graphics Processing Unit (GPU) implementation of Particle Swarm Optimization (PSO) using digital pheromones to coordinate swarms within n-dimensional design spaces is presented. Particularly, the velocity vector computations are carried out on graphics hardware. Previous w ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this paper, a model for Graphics Processing Unit (GPU) implementation of Particle Swarm Optimization (PSO) using digital pheromones to coordinate swarms within n-dimensional design spaces is presented. Particularly, the velocity vector computations are carried out on graphics hardware. Previous

Hilbert Space Models Commodity Exchanges

by Paul Cockshott
"... Abstract. It is argued that the vector space measures used to measure closeness of market prices to predictors for market prices are invalid because of the observed metric of commodity space. An alternative representation in Hilbert space within which such measures do apply is proposed. It is shown ..."
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Abstract. It is argued that the vector space measures used to measure closeness of market prices to predictors for market prices are invalid because of the observed metric of commodity space. An alternative representation in Hilbert space within which such measures do apply is proposed. It is shown

An Efficient Dynamic Auction for Heterogeneous Commodities

by Professor Lawrence, Lawrence M. Ausubel, Lawrence M. Ausubel, Lawrence M. Ausubel - Department of Economics, University of Maryland , 2000
"... This paper proposes a new dynamic design for auctioning multiple heterogeneous commodities, generalizing earlier work that treated identical objects. An auctioneer wishes to allocate one or more units of each of K heterogeneous commodities to n bidders. The auctioneer announces a vector of curren ..."
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This paper proposes a new dynamic design for auctioning multiple heterogeneous commodities, generalizing earlier work that treated identical objects. An auctioneer wishes to allocate one or more units of each of K heterogeneous commodities to n bidders. The auctioneer announces a vector
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