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» Tuple-based abstract data types: full parallelism
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EUROPAR
2005
Springer
14 years 2 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
IEEEPACT
2009
IEEE
14 years 3 months ago
DDCache: Decoupled and Delegable Cache Data and Metadata
Abstract—In order to harness the full compute power of manycore processors, future designs must focus on effective utilization of on-chip cache and bandwidth resources. In this p...
Hemayet Hossain, Sandhya Dwarkadas, Michael C. Hua...
ICPP
2003
IEEE
14 years 1 months ago
Data Conversion for Process/Thread Migration and Checkpointing
Process/thread migration and checkpointing schemes support load balancing, load sharing and fault tolerance to improve application performance and system resource usage on worksta...
Hai Jiang, Vipin Chaudhary, John Paul Walters
ESCIENCE
2007
IEEE
14 years 2 months ago
Connecting Scientific Data to Scientific Experiments with Provenance
As scientific workflows and the data they operate on, grow in size and complexity, the task of defining how those workflows should execute (which resources to use, where the resou...
Simon Miles, Ewa Deelman, Paul T. Groth, Karan Vah...
DOLAP
2007
ACM
14 years 13 days ago
Optimal chunking of large multidimensional arrays for data warehousing
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
Ekow J. Otoo, Doron Rotem, Sridhar Seshadri