David K. Lowenthal

发表

Hyfi: Architecture-Independent Parallelism On Networks of Multiprocessors

David K. Lowenthal, Ragavanis Subramanian, D. Lowenthal, 2003 .

Dynamic, power-aware scheduling for mobile clients using a transparent proxy

Surendar Chandra, David K. Lowenthal, Michael Gundlach, 2004, International Conference on Parallel Processing, 2004. ICPP 2004..

Fine-grain parallelism and run-time decision-making

David K. Lowenthal, 1996 .

A Parallel, Out-of-Core Algorithm for RNA Secondary Structure Prediction

David K. Lowenthal, Wenduo Zhou, 2006, 2006 International Conference on Parallel Processing (ICPP'06).

Using focused regression for accurate time-constrained scaling of scientific applications

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).

Client-centered energy and delay analysis for TCP downloads

Kang Li, Larry L. Peterson, David K. Lowenthal, 2004, Twelfth IEEE International Workshop on Quality of Service, 2004. IWQOS 2004..

Efficient support for fine-grain parallelism on shared-memory machines

Gregory R. Andrews, David K. Lowenthal, Vincent W. Freeh, 1998, Concurr. Pract. Exp..

A comparative analysis of fine-grain threads packages

David K. Lowenthal, Gregory W. Price, D. Lowenthal, 2003, J. Parallel Distributed Comput..

Adaptive Data Placement for Distributed-Memory Machines

Gregory R. Andrews, David K. Lowenthal, 1995 .

Exploiting Redundancy and Application Scalability for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2016, IEEE Transactions on Parallel and Distributed Systems.

CAEVA: A customizable and adaptive event aggregation framework for collaborative broker overlays

Lakshmish Ramaswamy, Shivkumar Kalyanaraman, David K. Lowenthal, 2010, 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2010).

Table of Contents 19 th International Parallel and Distributed Processing SymposiumIPDPS 2005

David K. Lowenthal, Vincent W. Freeh, Tuesday Keynote Speech, 2005 .

Towards efficient event aggregation in a decentralized publish-subscribe system

Lakshmish Ramaswamy, David K. Lowenthal, Jianxia Chen, 2009, DEBS '09.

Accurate data redistribution cost estimation in software distributed shared memory systems

David K. Lowenthal, Donald G. Morris, 2001, PPoPP '01.

The Case of Performance Variability on Dragonfly-based Systems

Rushil Anirudh, Abhinav Bhatele, David K. Lowenthal, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

I/O-Aware Gang Scheduling

David K. Lowenthal, Mario Nakazawa, 2003, ISCA PDCS.

Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound

Martin Schulz, Bronis R. de Supinski, Dong H. Ahn, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

CC-MPI: a compiled communication capable MPI prototype for ethernet switched clusters

Xin Yuan, David K. Lowenthal, Amit Karwande, 2003, PPOPP.

An MPI prototype for compiled communication on Ethernet switched clusters

Xin Yuan, David K. Lowenthal, Amit Karwande, 2005, J. Parallel Distributed Comput..

Comet: Decentralized Complex Event Detection in Mobile Delay Tolerant Networks

Lakshmish Ramaswamy, Shivkumar Kalyanaraman, David K. Lowenthal, 2012, 2012 IEEE 13th International Conference on Mobile Data Management.

Architecture-independent parallelism for both shared- and distributed-memory machines using the Filaments package

David K. Lowenthal, Vincent W. Freeh, 2000, Parallel Comput..

Client-Centered, Energy-Efficient Wireless Communication on IEEE 802.11b Networks

Kang Li, Larry L. Peterson, David K. Lowenthal, 2006, IEEE Transactions on Mobile Computing.

Finding the limits of power-constrained application performance

Martin Schulz, David K. Lowenthal, Barry Rountree, 2015, SC15: International Conference for High Performance Computing, Networking, Storage and Analysis.

Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster

David K. Lowenthal, Barry Rountree, Vincent W. Freeh, 2006, PPoPP '06.

CC--MPI: a compiled communication capable MPI prototype for ethernet switched clusters

Xin Yuan, David K. Lowenthal, Amit Karwande, 2003, PPoPP '03.

Efficient support for fine‐grain parallelism on shared‐memory machines

Gregory R. Andrews, David K. Lowenthal, Vincent W. Freeh, 1998 .

Implicit array bounds checking on 64-bit architectures

David K. Lowenthal, Barry Rountree, Scott A. Watterson, 2006, TACO.

Efficient support for two-dimensional data distributions in distributed shared memory systems

David K. Lowenthal, David W. Miller, Vincent W. Freeh, 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

David K. Lowenthal, Haijin Yan, 2003, ISCA PDCS.

Using Fine-Grain Threads and Run-Time Decision Making in Parallel Computing

Gregory R. Andrews, David K. Lowenthal, Vincent W. Freeh, 1996, J. Parallel Distributed Comput..

Notes from HPPAC 2005

David K. Lowenthal, Barry Rountree, Vincent W. Freeh, 2005, CARN.

Dyn-MPI: Supporting MPI on Non Dedicated Clusters

David K. Lowenthal, Mario Nakazawa, D. Brent Weatherly, 2003, SC.

An adaptive approach to data placement

Gregory R. Andrews, David K. Lowenthal, 1996, Proceedings of International Conference on Parallel Processing.

Proceedings of the international conference on Supercomputing

Sally A. McKee, Bronis R. de Supinski, David K. Lowenthal, 2011, ICS 2011.

Economic Viability of Hardware Overprovisioning in Power-Constrained High Performance Computing

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2016, 2016 4th International Workshop on Energy Efficient Supercomputing (E2SC).

A comparative study of high-performance computing on the cloud

Xin Yuan, Martin Schulz, Bronis R. de Supinski, 2013, HPDC.

Bounding energy consumption in large-scale MPI programs

Martin Schulz, Bronis R. de Supinski, Shelby Funk, 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

Adaptive, transparent CPU scaling algorithms leveraging inter-node MPI communication regions

Min Yeol Lim, David K. Lowenthal, Vincent W. Freeh, 2011, Parallel Comput..

STAR-MPI: self tuned adaptive routines for MPI collective operations

Xin Yuan, Ahmad Faraj, David K. Lowenthal, 2006, ICS '06.

Accurately Selecting Block Size at Runtime in Pipelined Parallel Programs

David K. Lowenthal, D. Lowenthal, 2000, International Journal of Parallel Programming.

New Methods for Passive Estimation of TCP Round-Trip Times

Kang Li, David K. Lowenthal, Bryan Veal, 2005, PAM.

A Comparison of Array Bounds Checking on Superscalar and VLIW Architectures

David K. Lowenthal, Scott A. Watterson, Chris Bentley, 2002 .

Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers — Survey & Tutorial

Torsten Wilde, Martin Schulz, David K. Lowenthal, 2017, 2017 International Conference on High Performance Computing & Simulation (HPCS).

Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs

David K. Lowenthal, Vincent W. Freeh, N. Kappiah, 2005 .

Mitigating Inter-Job Interference via Process-Level Quality-of-Service

Bronis R. de Supinski, David K. Lowenthal, Kathryn Mohror, 2019, 2019 IEEE International Conference on Cluster Computing (CLUSTER).

High-performance, power-aware computing - HPPAC

Frank Bellosa, Taisuke Boku, Jordi Torres, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

Local and Global Data Distribution in the Filaments Package

David K. Lowenthal, 1998 .

MPI and communication - Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs

Min Yeol Lim, David K. Lowenthal, Vincent W. Freeh, 2006, SC.

SUIF-Adapt: An Integrated Compiler/Run-Time System for Global and Dynamic Data Distributions

D. G. Morris, David K. Lowenthal, Donald G. Morris, 2002 .

An Integrated Compiler/Run-Time System for Global Data Distribution in Distributed Shared Memory Systems∗

David K. Lowenthal, Gregory M.S. Howard, D. Lowenthal, 2002 .

A Run-Time System for Power-Constrained HPC Applications

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2015, ISC.

The MHETA Execution Model for Heterogeneous Clusters

David K. Lowenthal, Wenduo Zhou, Mario Nakazawa, 2005, ACM/IEEE SC 2005 Conference (SC'05).

Practical performance prediction under Dynamic Voltage Frequency Scaling

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2011, 2011 International Green Computing Conference and Workshops.

Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications

Feng Pan, David K. Lowenthal, Barry Rountree, 2007, IEEE Transactions on Parallel and Distributed Systems.

Dynamic, power-aware scheduling for mobile clients using a transparent proxy

Surendar Chandra, David K. Lowenthal, Scott A. Watterson, 2004 .

Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2014, HPDC '14.

Protocol Customization for Improving MPI Performance on RDMA-Enabled Clusters

Xin Yuan, Zheng Gu, David K. Lowenthal, 2013, International Journal of Parallel Programming.

Run-time selection of block size in pipelined parallel programs

David K. Lowenthal, Michael James, D. Lowenthal, 1999, Proceedings 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing. IPPS/SPDP 1999.

Towards cooperation fairness in mobile ad hoc networks

David K. Lowenthal, Haijin Yan, 2005, IEEE Wireless Communications and Networking Conference, 2005.

A regression-based approach to scalability prediction

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2008, ICS '08.

A Study of Network Quality of Service in Many-Core MPI Applications

Bronis R. de Supinski, David K. Lowenthal, Kathryn Mohror, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster

Feng Pan, David K. Lowenthal, Vincent W. Freeh, 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

Exploring hardware overprovisioning in power-constrained, high performance computing

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2013, ICS '13.

Using multiple energy gears in MPI programs on a power-scalable cluster

David K. Lowenthal, Vincent W. Freeh, D. Lowenthal, 2005, PPoPP.

Parallelizing heavyweight debugging tools with mpiecho

Martin Schulz, Bronis R. de Supinski, Todd Gamblin, 2013, Parallel Comput..

Practical Resource Management in Power-Constrained, High Performance Computing

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2015, HPDC.

Quantitative Trait Locus Analysis Using a Partitioned Linear Model on a GPU Cluster

Ali Akoglu, David K. Lowenthal, Liya Wang, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Profile Guided MPI Protocol Selection for Point-to-Point Communication Calls

Xin Yuan, Zheng Gu, David K. Lowenthal, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

Mitigating Inter-Job Interference Using Adaptive Flow-Aware Routing

Jens Domke, David K. Lowenthal, Jayaraman J. Thiagarajan, 2018, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.

Distributed filaments: efficient fine-grain parallelism on a cluster of workstations

Gregory R. Andrews, David K. Lowenthal, Vincent W. Freeh, 1994, OSDI '94.

ACE: an active, client-directed method for reducing energy during web browsing

Kang Li, David K. Lowenthal, Haijin Yan, 2005, NOSSDAV '05.

Implicit java array bounds checking on 64-bit architecture

David K. Lowenthal, Barry Rountree, Scott A. Watterson, 2004, ICS '04.

Efficient Support for Pipelining in Software Distributed Shared Memory Systems

David K. Lowenthal, Karthik Balasubramanian, 2001, Scalable Comput. Pract. Exp..

Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs

David K. Lowenthal, Vincent W. Freeh, Tyler K. Bletsch, 2005, ACM/IEEE SC 2005 Conference (SC'05).

Dyn-MPI: Supporting MPI on medium-scale, non-dedicated clusters

David K. Lowenthal, Mario Nakazawa, D. Brent Weatherly, 2006, J. Parallel Distributed Comput..

Adagio: making DVS practical for complex HPC applications

Bronis R. de Supinski, David K. Lowenthal, Martin Schulz, 2009, ICS.

Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2014, 2014 43rd International Conference on Parallel Processing.

Client-centered energy savings for concurrent HTTP connections

David K. Lowenthal, Rupa Krishnan, Haijin Yan, 2004, NOSSDAV '04.

Filaments: Efficient Support for Fine-Grain Parallelism

Gregory R. Andrews, Dawson R. Engler, David K. Lowenthal, 1993 .

Proceedings of the 5th International Workshop on Energy Efficient Supercomputing

Kirk W. Cameron, Dimitrios S. Nikolopoulos, Adolfy Hoisie, 2017, E2SC@SC.

Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing

Yuichi Inadomi, Martin Schulz, Koji Inoue, 2015, SC15: International Conference for High Performance Computing, Networking, Storage and Analysis.

I/O Aware Power Shifting

Martin Schulz, Bronis R. de Supinski, David K. Lowenthal, 2016, 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

TCP-RC: a receiver-centered TCP protocol for delay-sensitive applications

Kang Li, David K. Lowenthal, Scott A. Watterson, 2005, IS&T/SPIE Electronic Imaging.

Mitigating Inter-Job Interference via Process-Level Quality-of-Service

Bronis R. de Supinski, David K. Lowenthal, Kathryn Mohror, 2021, ACM Trans. Parallel Comput..

Jigsaw: A High-Utilization, Interference-Free Job Scheduler for Fat-Tree Clusters

David K. Lowenthal, Staci A. Smith, 2021, HPDC.

Performance Experiments for the Filaments Package

Dawson R. Engler, David K. Lowenthal, D. Engler, 1993 .

Efficient Support for Pipelining in Distributed Shared Memory Systems ∗

David K. Lowenthal, Karthik Balasubramanian, 1999 .

Analyzing Inter-Job Contention in Dragonfly Networks

Peer-Timo Bremer, David K. Lowenthal, Jayaraman J. Thiagarajan, 2016 .