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Displaying 1-30 out of 30 total
A Web 2.0-Based Scientific Application Framework
Found in: Web Services, IEEE International Conference on
By Wenjun Wu, Thomas D. Uram, Michael Wilde, Mark Hereld, Michael E. Papka
Issue Date:July 2010
pp. 642-643
A significant obstacle to building usable, web-based interfaces for computational science in a Grid environment is how to deploy scientific applications on computational resources and expose these applications as web services. To streamline the development...
Topology-aware data movement and staging for I/O acceleration on Blue Gene/P supercomputing systems
Found in: SC Conference
By Venkatram Vishwanath,Mark Hereld,Vitali Morozov,Michael E. Papka
Issue Date:November 2011
pp. 1-11
There is growing concern that I/O systems will be hard pressed to satisfy the requirements of future leadership-class machines. Even current machines are found to be I/O bound for some applications. In this paper, we identify existing performance bottlenec...
Interactive Virtual Reality in Simulations: Exploring Lag Time
Found in: Computing in Science and Engineering
By Valerie E. Taylor, Jian Chen, Terrence L. Disz, Michael E. Papka, Rick Stevens
Issue Date:December 1996
pp. 46-54
<p>When coupling supercomputer simulations to
A new computational paradigm in multiscale simulations: application to brain blood flow
Found in: SC Conference
By Leopold Grinberg,Joseph A. Insley,Vitali Morozov,Michael E. Papka,George Em Karniadakis,Dmitry Fedosov,Kalyan Kumaran
Issue Date:November 2011
pp. 1-5
Interfacing atomistic-based with continuum-based simulation codes is now required in many multiscale physical and biological systems. We present the computational advances that have enabled the first multiscale simulation on 190,740 processors by coupling ...
Designing the Future of Collaborative Science:Argonne's Futures Laboratory
Found in: IEEE Concurrency
By Terrence L. Disz, Remy Evard, Mark W. Henderson, William Nickless, Robert Olson, Michael E. Papka, Rick Stevens
Issue Date:June 1995
pp. 14-21
The Futures Lab was founded in Argonne National Laboratory's Mathematics and Computer Science Division in the fall of 1994. The lab's goal is to develop new technology and systems to support collaborative science. To meet this goal, the lab is organized ar...
An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Kirk L. Duffin,Nicholas T. Karonis,Caesar E. Ordonez,Michael E. Papka,George Coutrakon,Bela Erdelyi,Eric C. Olson,Thomas D. Uram
Issue Date:November 2012
pp. 166-175
Proton computed tomography (pCT) is an imaging modality beingdeveloped to support targeted dose delivery in proton therapy. It aimsto accurately map the distribution of relative stopping power in theimaged body. Because protons traverse material in non-lin...
Early Experience on the Blue Gene/Q Supercomputing System
Found in: 2013 IEEE International Symposium on Parallel & Distributed Processing (IPDPS)
By Vitali Morozov,Kalyan Kumaran,Venkatram Vishwanath,Jiayuan Meng,Michael E. Papka
Issue Date:May 2013
pp. 1229-1240
The Argonne Leadership Computing Facility (ALCF) is home to Mira, a10 PF Blue Gene/Q (BG/Q) system. The BG/Q system is the third generation in Blue Gene architecture from IBM and like its predecessors combines system-on-chip technology with a proprietary i...
ALCF MPI Benchmarks: Understanding Machine-Specific Communication Behavior
Found in: 2012 41st International Conference on Parallel Processing Workshops (ICPPW)
By Vitali Morozov,Jiayuan Meng,Venkatram Vishwanath,Jeff R. Hammond,Kalyan Kumaran,Michael E. Papka
Issue Date:September 2012
pp. 19-28
As systems grow larger and computation is further spread across nodes, efficient data communication is becoming increasingly important to achieve high throughput and low power consumption for high performance computing systems. However, communication effic...
Advances in Leadership Computing [Guest editors' introduction]
Found in: Computing in Science & Engineering
By James J. Hack,Michael E. Papka
Issue Date:September 2014
pp. 10-12
The guest editors present the first part of a two-part special issue on leadership computing.
Tightly Coupled Atomistic-Continuum Simulations of Brain Blood Flow on Petaflop Supercomputers
Found in: Computing in Science & Engineering
By Leopold Grinberg,Joseph A. Insley,Dmitry A. Fedosov,Vitali Morozov,Michael E. Papka,George Em Karniadakis
Issue Date:November 2012
pp. 58-67
Several advances on the mathematical, computational, and visualization fronts have led to the first truly multiscale simulation and visualization of a realistic biological system.
Volume rendering with multidimensional peak finding
Found in: Visualization Symposium, IEEE Pacific
By Natallia Kotava,Aaron Knoll,Mathias Schott,Christoph Garth,Xavier Tricoche,Christoph Kessler,Elaine Cohen,Charles D. Hansen,Michael E. Papka,Hans Hagen
Issue Date:March 2012
pp. 161-168
Peak finding provides more accurate classification for direct volume rendering by sampling directly at local maxima in a transfer function, allowing for better reproduction of high-frequency features. However, the 1D peak finding technique does not extend ...
Runtime Visualization of the Human Arterial Tree
Found in: IEEE Transactions on Visualization and Computer Graphics
By Joseph A. Insley, Michael E. Papka, Suchuan Dong, George Karniadakis, Nicholas T. Karonis
Issue Date:July 2007
pp. 810-821
<p><b>Abstract</b>—Large-scale simulation codes typically execute for extended periods of time and often on distributed computational resources. Because these simulations can run for hours, or even days, scientists like to get feedback ab...
Measuring Power Consumption on IBM Blue Gene/Q
Found in: 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
By Sean Wallace,Venkatram Vishwanath,Susan Coghlan,Zhiling Lan,Michael E. Papka
Issue Date:May 2013
pp. 853-859
In addition to pushing what is possible computationally, state-of-the-art supercomputers are also pushing what is acceptable in terms of power consumption. Despite hardware manufacturers researching and developing efficient system components (e.g., process...
Poster: Evaluating Communication Performance in BlueGene/Q and Cray XE6 Supercomputers
Found in: 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)
By Huy Bui,Venkatram Vishwanath,Jason Leigh,Michael E. Papka
Issue Date:November 2012
pp. 1515
Evaluation of the communication performance in supercomputers Blue Gene/Q and Cray XE6 using MPI and lower level libraries are presented. MPI is widely used for to its simplicity, portability and straightforwardness, however it also introduces overhead tha...
Efficient data restructuring and aggregation for I/O acceleration in PIDX
Found in: 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis
By Sidharth Kumar,Venkatram Vishwanath,Philip Carns,Joshua A. Levine,Robert Latham,Giorgio Scorzelli,Hemanth Kolla,Ray Grout,Robert Ross,Michael E. Papka,Jacqueline Chen,Valerio Pascucci
Issue Date:November 2012
pp. 1-11
Hierarchical, multiresolution data representations enable interactive analysis and visualization of large-scale simulations. One promising application of these techniques is to store high performance computing simulation output in a hierarchical Z (HZ) ord...
Performance Metrics of IP Multicast Sessions
Found in: Multimedia, International Symposium on
By Han Gao, Michael E. Papka, Rick L. Stevens
Issue Date:December 2005
pp. 183-192
Most research on design and implementation of multicast network systems has concentrated mainly on the capacities of network devices, without completely considering the impact from multicast sessions on network systems. This impact heavily depends on the a...
Prototyping the Workspaces of the Future
Found in: IEEE Internet Computing
By Rick Stevens, Michael E. Papka, Terry Disz
Issue Date:July 2003
pp. 51-58
<p>The Access Grid creates collaborative scientific workspaces that challenge traditional desktop metaphors by integrating large-scale visualization displays and lab instruments.</p>
GridMapper: A Tool for Visualizing the Behavior of Large-Scale Distributed Systems
Found in: High-Performance Distributed Computing, International Symposium on
By William Allcock, Joseph Bester, John Bresnahan, Ian Foster, Jarek Gawor, Joseph A. Insley, Joseph M. Link, Michael E. Papka
Issue Date:July 2002
pp. 179
Grid applications can combine the use of compute, storage, network, and other resources. These resources are often geographically distributed, adding to application complexity and thus the difficulty of understanding application performance. We present Gri...
Accelerating I/O Forwarding in IBM Blue Gene/P Systems
Found in: SC Conference
By Venkatram Vishwanath, Mark Hereld, Kamil Iskra, Dries Kimpe, Vitali Morozov, Michael E. Papka, Robert Ross, Kazutomo Yoshii
Issue Date:November 2010
pp. 1-10
Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. I/O forwarding is a paradigm that attempts to bridge the increasing performance and scalability gap between the compute and I/O...
Modeling early galaxies using radiation hydrodynamics
Found in: Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion (SC '11 Companion)
By Daniel R. Reynolds, Eric C. Olson, Mark Hereld, Michael E. Papka, Michael L. Norman, Rick Wagner, Joseph A. Insley, Robert Harkness, Venkatram Vishwanath
Issue Date:November 2011
pp. 141-142
This simulation uses a flux-limited diffusion solver to explore the radiation hydrodynamics of early galaxies, in particular, the ionizing radiation created by Population III stars. At the time of this rendering, the simulation has evolved to a redshift of...
Ray tracing and volume rendering large molecular data on multi-core and many-core architectures
Found in: Proceedings of the 8th International Workshop on Ultrascale Visualization (UltraVis '13)
By Aaron Knoll, Kelly P. Gaither, Michael E. Papka, Paul A. Navrátil, Ingo Wald
Issue Date:November 2013
pp. 1-8
Visualizing large molecular data requires efficient means of rendering millions of data elements that combine glyphs, geometry and volumetric techniques. The geometric and volumetric loads challenge traditional rasterization-based vis methods. Ray casting ...
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems
Found in: Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis (SC '13)
By Susan Coghlan, Wei Tang, Xu Yang, Zhiling Lan, Zhou Zhou, Michael E. Papka, Sean Wallace
Issue Date:November 2013
pp. 1-11
The research literature to date mainly aimed at reducing energy consumption in HPC environments. In this paper we propose a job power aware scheduling mechanism to reduce HPC's electricity bill without degrading the system utilization. The novelty of our j...
Scalable in situ scientific data encoding for analytical query processing
Found in: Proceedings of the 22nd international symposium on High-performance parallel and distributed computing (HPDC '13)
By David A. Boyuka, John Jenkins, Michael E. Papka, Nagiza F. Samatova, Saurabh V. Pendse, Sriram Lakshminarasimhan, Venkatram Vishwanath, Xiaocheng Zou
Issue Date:June 2013
pp. 1-12
The process of scientific data analysis in high-performance computing environments has been evolving along with the advancement of computing capabilities. With the onset of exascale computing, the increasing gap between compute performance and I/O bandwidt...
Blood flow: multi-scale modeling and visualization
Found in: Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion (SC '11 Companion)
By Bruce Caswell, Geroge Em Karniadakis, Leopold Grinberg, Michael E. Papka, Vitali Morozov, Dmitry A. Fedosov, Joseph A. Insley
Issue Date:November 2011
pp. 139-140
Multi-scale modeling of arterial blood flow can shed light on the interaction between events happening at micro- and meso-scales (i.e., adhesion of red blood cells to the arterial wall, clot formation) and at macro-scales (i.e., change in flow patterns due...
Electronic poster: visualizing multiscale simulation data
Found in: Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion (SC '11 Companion)
By Michael E. Papka, George Karniadakis, Joseph A. Insley, Leopold Grinberg
Issue Date:November 2011
pp. 101-102
Accurately modeling many physical and biological systems requires simulating at multiple scales. This results in large and heterogeneous data sets on vastly differing scales, both physical and temporal. Here we look specifically at blood flow in a patient-...
Examples of in transit visualization
Found in: Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities (PDAC '11)
By Manish Parashar, Michael E. Papka, Nathan Fabian, Pat Marion, Ron Oldfield, Scott Klasky, Sebastien Jourdain, Venkatram Vishwanath, Ciprian Docan, Kenneth Moreland, Mark Hereld, Norbert Podhorszki
Issue Date:November 2011
pp. 1-6
One of the most pressing issues with petascale analysis is the transport of simulation results data to a meaningful analysis. Traditional workflow prescribes storing the simulation results to disk and later retrieving them for analysis and visualization. H...
Experiences using smaash to manage data-intensive simulations
Found in: Proceedings of the 20th international symposium on High performance distributed computing (HPDC '11)
By G. Cal Jordan IV, John Norris, Klaus Weide, Lynn B. Reid, Michael E. Papka, Randy Hudson
Issue Date:June 2011
pp. 205-216
High performance scientific computer simulations created with such systems as the University of Chicago's FLASH code generate enormous amounts of data that must be captured, cataloged, and analyzed. Unless this is formally done, monitoring such simulations...
Modeling resource-coupled computations
Found in: Proceedings of the 2009 Workshop on Ultrascale Visualization (UltraVis '09)
By Eric C. Olson, Joseph A. Insley, Mark Hereld, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath
Issue Date:November 2009
pp. 27-33
Increasingly massive datasets produced by simulations beg the question How will we connect this data to the computational and display resources that support visualization and analysis? This question is driving research into new approaches to allocating com...
Using dynamic accounts to enable access to advanced resources through science gateways
Found in: Proceedings of the 5th Grid Computing Environments Workshop (GCE '09)
By Joseph A. Insley, Michael E. Papka, Ti Leggett
Issue Date:November 2009
pp. 1-6
Science Gateways have emerged as a valuable solution for providing large numbers of users with access to advanced computing resources. Additionally, they can hide many of the complexities often associated with using such resources effectively. Many gateway...
Web 2.0-based social informatics data grid
Found in: Proceedings of the 5th Grid Computing Environments Workshop (GCE '09)
By Michael E. Papka, Thomas Uram, Wenjun Wu
Issue Date:November 2009
pp. 1-7
The Social Informatics Data Grid (SIDGrid) is a new cyberinfrastructure designed to transform how social and behavioral scientists collect and annotate data, collaborate and share data, and analyze and mine large data repositories. The major design goals f...