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» Transforming set data types to power optimal data structures
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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 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,...
ESOP
2007
Springer
13 years 11 months ago
Type Reconstruction for General Refinement Types
Abstract. General refinement types allow types to be refined by predicates written in a general-purpose programming language, and can express function pre- and postconditions and d...
Kenneth W. Knowles, Cormac Flanagan
LCTRTS
2007
Springer
14 years 1 months ago
Compiler-managed partitioned data caches for low power
Set-associative caches are traditionally managed using hardwarebased lookup and replacement schemes that have high energy overheads. Ideally, the caching strategy should be tailor...
Rajiv A. Ravindran, Michael L. Chu, Scott A. Mahlk...
ICCAD
1995
IEEE
135views Hardware» more  ICCAD 1995»
13 years 11 months ago
An iterative improvement algorithm for low power data path synthesis
We address the problem of minimizing power consumption in behavioral synthesis of data-dominated circuits. The complex nature of power as a cost function implies that the effects ...
Anand Raghunathan, Niraj K. Jha
GLVLSI
1998
IEEE
122views VLSI» more  GLVLSI 1998»
13 years 11 months ago
Reducing Power Consumption of Dedicated Processors Through Instruction Set Encoding
With the increased clock frequency of modern, high-performance processors over 500 MHz, in some cases, limiting the power dissipation has become the most stringent design target. ...
Luca Benini, Giovanni De Micheli, Alberto Macii, E...