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PVLDB
2008
182views more  PVLDB 2008»
15 years 2 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
151
Voted
ICPADS
2010
IEEE
15 years 17 days 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
123
Voted
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
15 years 16 days ago
Throughput-Effective On-Chip Networks for Manycore Accelerators
As the number of cores and threads in manycore compute accelerators such as Graphics Processing Units (GPU) increases, so does the importance of on-chip interconnection network des...
Ali Bakhoda, John Kim, Tor M. Aamodt
FAST
2009
15 years 12 days ago
HYDRAstor: A Scalable Secondary Storage
HYDRAstor is a scalable, secondary storage solution aimed at the enterprise market. The system consists of a back-end architectured as a grid of storage nodes built around a distr...
Cezary Dubnicki, Leszek Gryz, Lukasz Heldt, Michal...
WWW
2004
ACM
16 years 3 months ago
A combined approach to checking web ontologies
The understanding of Semantic Web documents is built upon ontologies that define concepts and relationships of data. Hence, the correctness of ontologies is vital. Ontology reason...
Jin Song Dong, Chew Hung Lee, Hian Beng Lee, Yuan-...
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