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Token flow control

by Amit Kumar, et al.
"... As companies move towards many-core chips, an efficient onchip communication fabric to connect these cores assumes critical importance. To address limitations to wire delay scalability and increasing bandwidth demands, state-of-the-art on-chip networks use a modular packet-switched design with route ..."
Abstract - Cited by 635 (35 self) - Add to MetaCart
As companies move towards many-core chips, an efficient onchip communication fabric to connect these cores assumes critical importance. To address limitations to wire delay scalability and increasing bandwidth demands, state-of-the-art on-chip networks use a modular packet-switched design

The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
are highly crosscorrelated, and principal components analysis implies they are mostly driven by a single common factor. Although we consider several macro-economic and financial variables as candidate proxies, we cannot explain this common systematic component. Our results suggest that monthly credit spread

Petal: Distributed Virtual Disks

by Edward Lee, Ramohan A. Thekkath - In Proceedings of the Seventh International Conference on Architectural Support for Programming Languages and Operating Systems , 1996
"... The ideal storage system is globally accessible, always available, provides unlimited performance and capacity for a large number of clients, and requires no management. This paper describes the design, implementation, and performance of Petal, a system that attempts to approximate this ideal in pra ..."
Abstract - Cited by 361 (5 self) - Add to MetaCart
disks. A virtual disk is globally accessible to all Petal clients on the network. A client can create a virtual disk on demand to tap the entire capacity and performance of the underlying physical resources. Furthermore, additional resources, such as servers and disks, can be automatically incorporated

Using mutual information for selecting features in supervised neural net learning

by Roberto Battiti - IEEE TRANSACTIONS ON NEURAL NETWORKS , 1994
"... This paper investigates the application of the mutual infor“ criterion to evaluate a set of candidate features and to select an informative subset to be used as input data for a neural network classifier. Because the mutual information measures arbitrary dependencies between random variables, it is ..."
Abstract - Cited by 358 (1 self) - Add to MetaCart
, the use of the mutual information for tasks characterized by high input dimensionality requires suitable approximations because of the prohibitive demands on computation and samples. An algorithm is proposed that is based on a “greedy” selection of the features and that takes both the mutual information

The Hadoop Distributed File System

by Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler
"... Abstract—The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directly attached storage and execute user application tasks. By distributin ..."
Abstract - Cited by 343 (1 self) - Add to MetaCart
. By distributing storage and computation across many servers, the resource can grow with demand while remaining economical at every size. We describe the architecture of HDFS and report on experience using HDFS to manage 25 petabytes of enterprise data at Yahoo!.

Adapting to Network and Client Variability via On-Demand Dynamic Distillation

by Armando Fox, Steven D. Gribble, Eric A. Brewer, Elan Amir , 1996
"... The explosive growth of the Internet and the proliferation of smart cellular phones and handheld wireless devices is widening an already large gap between Internet clients. Clients vary in their hardware resources, software sophistication, and quality of connectivity, yet server support for client v ..."
Abstract - Cited by 230 (11 self) - Add to MetaCart
The explosive growth of the Internet and the proliferation of smart cellular phones and handheld wireless devices is widening an already large gap between Internet clients. Clients vary in their hardware resources, software sophistication, and quality of connectivity, yet server support for client

The stages of economic growth.

by W W Rostow - Economic History Review , 2nd series 12, , 1959
"... JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about J ..."
Abstract - Cited by 297 (0 self) - Add to MetaCart
innovations: they are also partially determined by those types of demand which have exhibited high elasticity with respect to price, income, or both. The demand for resources has resulted, however, not merely from demands set up by private taste and choice, but also from social decisions and from the 1 In a

Utility-Based Cache Partitioning: A Low-Overhead, High-Performance, Runtime Mechanism to Partition Shared Caches

by Moinuddin K. Qureshi, Yale N. Patt - IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE , 2006
"... This paper investigates the problem of partitioning a shared cache between multiple concurrently executing applications. The commonly used LRU policy implicitly partitions a shared cache on a demand basis, giving more cache resources to the application that has a high demand and fewer cache resource ..."
Abstract - Cited by 260 (5 self) - Add to MetaCart
This paper investigates the problem of partitioning a shared cache between multiple concurrently executing applications. The commonly used LRU policy implicitly partitions a shared cache on a demand basis, giving more cache resources to the application that has a high demand and fewer cache

Fjording the Stream: An Architecture for Queries over Streaming Sensor Data

by Samuel Madden , Michael J. Franklin , 2002
"... If industry visionaries are correct, our lives will soon be full of sensors, connected together in loose conglomerations via wireless networks, each monitoring and collecting data about the environment at large. These sensors behave very differently from traditional database sources: they have inter ..."
Abstract - Cited by 281 (8 self) - Add to MetaCart
multiple queries over many sensors, and show how it can be used to limit sensor resource demands while maintaining high query throughput. We evaluate our architecture using traces from a network of traffic sensors deployed on Interstate 80 near Berkeley and present performance results that show how query

Deploying a wireless sensor network on an active volcano

by Konrad Lorincz, Matt Welsh, Omar Marcillo, Jeff Johnson, Mario Ruiz, Jonathan Lees - IEEE Internet Computing , 2006
"... Augmenting heavy and power-hungry data collection equipment with lighter, smaller wireless sensor network nodes leads to faster,larger deployments. Arrays comprising dozens of wireless sensor nodes are now possible,allowing scientific studies that aren’t feasible with traditional instrumentation. De ..."
Abstract - Cited by 253 (4 self) - Add to MetaCart
. Designing sensor networks to support volcanic studies requires addressing the high data rates and high data fidelity these studies demand. The authors ’ sensor-network application for volcanic data collection relies on triggered event detection and reliable data retrieval to meet bandwidth and data
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