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» Collecting Highly Parallel Data for Paraphrase Evaluation
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ICPADS
2010
IEEE
13 years 7 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
EDOC
2000
IEEE
14 years 1 months ago
Wireless Java RMI
Due to its high protocol overhead, both in data traffic and in round-trips, Java RMI is poorly suited for communication over slow wireless links. However, its performance can be ...
Stefano Campadello, Oskari Koskimies, Kimmo E. E. ...
CCGRID
2010
IEEE
13 years 6 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
IPPS
2008
IEEE
14 years 3 months ago
On synthesizing workloads emulating MPI applications
Evaluation of high performance parallel systems is a delicate issue, due to the difficulty of generating workloads that represent, with fidelity, those that will run on actual sys...
Javier Navaridas, José Miguel-Alonso, Franc...
ISCA
1994
IEEE
117views Hardware» more  ISCA 1994»
14 years 1 months ago
Evaluating Stream Buffers as a Secondary Cache Replacement
Today's commodity microprocessors require a low latency memory system to achieve high sustained performance. The conventional high-performance memory system provides fast dat...
Subbarao Palacharla, Richard E. Kessler