Lowenthal, David - Department of Computer Science, University of Arizona

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Lowenthal, David - Department of Computer Science, University of Arizona

An Adaptive Approach to Data Placement David K. Lowenthal
STAR-MPI: Self Tuned Adaptive Routines for MPI Collective Operations
Implicit Array Bounds Checking on 64-bit Architectures
Run-Time Selection of Block Size in Pipelined Parallel Programs David K. Lowenthal
A Comparative Analysis of Fine-Grain Threads Packages Gregory W. Price and David K. Lowenthal
CCMPI: A Compiled Communication Capable MPI Prototype for Ethernet Switched Clusters
Client-Centered Energy and Delay Analysis for TCP Downloads
Efficient Support for Fine-Grain Parallelism on Shared-Memory Machines
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI
Using Multiple Energy Gears in MPI Programs on a Power-Scalable Cluster
ACE: An Active, Client-Directed Method for Reducing Energy During Web Browsing
Accurate Data Redistribution Cost Estimation in Software Distributed Shared Memory Systems
Dyn-MPI: Supporting MPI on Non Dedicated Clusters D. Brent Weatherly
An MPI Prototype for Compiled Communication on Ethernet Switched Clusters
A Parallel, Out-of-Core Algorithm for RNA Secondary Structure Prediction Wenduo Zhou
HyFi: Architecture-Independent Parallelism on Networks of Multiprocessors
Using Focused Regression for Accurate Time-Constrained Scaling of Scientific Applications
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
The MHETA Execution Model for Heterogeneous Clusters Mario Nakazawa
Distributed Filaments: Efficient Fine-Grain Parallelism on a Cluster of Workstations
Efficient Support for Pipelining in Distributed Shared Memory Karthik Balasubramanian
Accurately Selecting Block Size at Run Time in Pipelined Parallel David K. Lowenthal
Using Fine-Grain Threads and Run-Time Decision Making in Parallel Computing
Towards Efficient Event Aggregation in a Decentralized Publish-Subscribe System
Adagio: Making DVS Practical for Complex HPC Applications
Adaptive, Transparent Frequency and Voltage Scaling of Communication Phases in MPI Programs
Minimizing Execution Time in MPI Programs on an Energy-Constrained, Power-Scalable Cluster
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
Client-Centered Energy Savings for Concurrent HTTP Connections
Efficient Support for Two-Dimensional Data Distributions in Distributed Shared Memory Systems
An Integrated Compiler/Run-Time System for Global Data Distribution in Distributed Shared Memory Systems
A Regression-Based Approach to Scalability Prediction Bradley J. Barnes