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2000
ACM
15 years 6 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
CCGRID
2008
IEEE
15 years 9 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
TVLSI
2008
85views more  TVLSI 2008»
15 years 2 months ago
Low-Complexity Policies for Energy-Performance Tradeoff in Chip-Multi-Processors
Chip-Multi-Processors (CMP) utilize multiple energy-efficient Processing Elements (PEs) to deliver high performance while maintaining an efficient ratio of performance to energy-c...
A. Elyada, Ran Ginosar, Uri Weiser
ISCAS
2005
IEEE
146views Hardware» more  ISCAS 2005»
15 years 8 months ago
A novel approach for network on chip emulation
— Current Systems-On-Chip execute applications that demand extensive parallel processing. Networks-On-Chip (NoC) provide a structured way of realizing interconnections on silicon...
Nicolas Genko, David Atienza, Giovanni De Micheli,...
HPCA
2004
IEEE
16 years 2 months ago
Creating Converged Trace Schedules Using String Matching
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
Satish Narayanasamy, Yuanfang Hu, Suleyman Sair, B...