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2010
Tsinghua U.
15 years 7 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
153
Voted
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 9 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
HPCA
2008
IEEE
15 years 11 months ago
Prediction of CPU idle-busy activity pattern
Real-world workloads rarely saturate multi-core processor. CPU C-states can be used to reduce power consumption during processor idle time. The key unsolved problem is: when and h...
Qian Diao, Justin J. Song
IPPS
2007
IEEE
15 years 11 months ago
Dynamic Multi-User Load Balancing in Distributed Systems
In this paper, we review two existing static load balancing schemes based on M/M/1 queues. We then use these schemes to propose two dynamic load balancing schemes for multi-user (...
Satish Penmatsa, Anthony T. Chronopoulos
IPPS
2000
IEEE
15 years 9 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang