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» Optimizing for parallelism and data locality
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HPDC
2007
IEEE
16 years 29 days ago
Feedback-directed thread scheduling with memory considerations
This paper describes a novel approach to generate an optimized schedule to run threads on distributed shared memory (DSM) systems. The approach relies upon a binary instrumentatio...
Fengguang Song, Shirley Moore, Jack Dongarra
HPDC
2012
IEEE
13 years 9 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange
ICDCS
2009
IEEE
16 years 1 months ago
Stochastic Multicast with Network Coding
The usage of network resources by content providers is commonly governed by Service Level Agreements (SLA) between the content provider and the network service provider. Resource ...
Ajay Gopinathan, Zongpeng Li
SOSP
2009
ACM
16 years 3 months ago
Quincy: fair scheduling for distributed computing clusters
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 11 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba