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Freeh, Vincent - Center for High Performance Simulation & Department of Computer Science, North Carolina State University
The Evolution of PowerThe Evolution of Power--Aware,Aware, HighHigh--Performance Clusters:Performance Clusters
Dynamic Power Saving in Fat-Tree Interconnection Networks Using On/Off Links
Online Strategies for High-Performance Power-Aware Thread Execution on Emerging Multiprocessors
Scheduling Processor Voltage and Frequency in Server and Cluster Systems Ramakrishna Kotla,
Power-Performance Efficiency of Asymmetric Multiprocessors for Multi-threaded Scientific Applications
We study the energy efficiency benefits of bypass-ing trivial computations in high-performance proces-
Toward an Evaluation Infrastructure for Power and Energy Optimizations Chunling Hu Daniel A. Jimenez Ulrich Kremer
MegaProto: A Low-Power and Compact Cluster for High-Performance Computing
Simultaneous Wire Permutation, Inversion, and Spacing with Genetic Algorithm for Energy-Efficient Bus Design
Conjugate Gradient Sparse Solvers: Performance-Power Characteristics
Towards Efficient Supercomputing: A Quest for the Right Metric
Using Performance Counters for Runtime Temperature Sensing in High-Performance Processors
Profile-based Optimization of Power Performance by using Dynamic Voltage Scaling on a PC cluster
MegaProto/E: Power-Aware High-Performance Cluster with Commodity Technology
Dear Workshop Attendee: Welcome to the inaugural workshop on High-Performance, Power-Aware Computing!
Reducing Power with Performance Constraints for Parallel Sparse Applications
Exploring the Energy-Time Tradeoff in High-Performance Computing Feng Pan Vincent W. Freeh Daniel M. Smith
GDB QUICK REFERENCE GDB Version 4 Essential Commands
GNU Emacs Reference Card (for version 20)