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158
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ICPADS
2010
IEEE
15 years 1 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
113
Voted
HPCC
2005
Springer
15 years 9 months ago
Lazy Home-Based Protocol: Combining Homeless and Home-Based Distributed Shared Memory Protocols
Abstract. This paper presents our novel protocol design and implementation of an all-software page-based DSM system. The protocol combines the advantages of homeless and home-based...
Byung-Hyun Yu, Paul Werstein, Martin K. Purvis, St...
145
Voted
CGO
2004
IEEE
15 years 7 months ago
Compiler Optimization of Memory-Resident Value Communication Between Speculative Threads
Efficient inter-thread value communication is essential for improving performance in Thread-Level Speculation (TLS). Although several mechanisms for improving value communication ...
Antonia Zhai, Christopher B. Colohan, J. Gregory S...
102
Voted
BTW
2007
Springer
122views Database» more  BTW 2007»
15 years 10 months ago
Managing the Desktop Document Dataspace
: Documents such as spreadsheets are easy to create, edit, and exchange. However, their use causes a set of well known problems such as poor data quality, lack of multi user suppor...
Alexander Hilliger von Thile
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
15 years 8 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus