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The SUPER Project | SUPER SciDAC

Skip to main content. Project is a broadly-based SciDAC. Institute with expertise in compilers and other system tools, performance engineering, energy management, and resilience. The goal of the project is to ensure that DOE. S computational scientists can successfully exploit the emerging generation of high performance computing ( HPC. Director: Bob Lucas rflucas@isi.edu. Multi-Objective Optimization of HPC. Kernels for Performance, Power, and Energy (Balaprakash, Hovland, Wild, and Tiwari). Preliminary...

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US

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University of Tennessee

Paul Peltz Jr

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The SUPER Project | SUPER SciDAC | super-scidac.org Reviews
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Skip to main content. Project is a broadly-based SciDAC. Institute with expertise in compilers and other system tools, performance engineering, energy management, and resilience. The goal of the project is to ensure that DOE. S computational scientists can successfully exploit the emerging generation of high performance computing ( HPC. Director: Bob Lucas rflucas@isi.edu. Multi-Objective Optimization of HPC. Kernels for Performance, Power, and Energy (Balaprakash, Hovland, Wild, and Tiwari). Preliminary...
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2 overview
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4 software
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8 the super
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The SUPER Project | SUPER SciDAC | super-scidac.org Reviews

https://super-scidac.org

Skip to main content. Project is a broadly-based SciDAC. Institute with expertise in compilers and other system tools, performance engineering, energy management, and resilience. The goal of the project is to ensure that DOE. S computational scientists can successfully exploit the emerging generation of high performance computing ( HPC. Director: Bob Lucas rflucas@isi.edu. Multi-Objective Optimization of HPC. Kernels for Performance, Power, and Energy (Balaprakash, Hovland, Wild, and Tiwari). Preliminary...

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super-scidac.org super-scidac.org
1

Publications | SUPER SciDAC

http://www.super-scidac.org/publications

Skip to main content. Undefined index: n in. Sw/apps/drupal-7.34/sites/all/modules/biblio/includes/biblio.pages.inc. Algorithm-based Fault Tolerance for Dense Matrix Factorizations, Multiple Failures, and Accuracy. ACM Transactions on Parallel Computing. Vol 1, pp. 10:1-10:28, 02/2015. Chen, R. S. And J K. Hollingsworth. ANGEL: A Hierarchical Approach to Multi-Objective Online Auto-Tuning. Proceedings of the 5th International Workshop on Runtime and Operating Systems for Supercomputers. Roth, P. C. Proce...

2

Accelerating Block Eigensolvers in MFDn | SUPER SciDAC

http://www.super-scidac.org/accelerating-eigensolvers.html

Skip to main content. Accelerating Block Eigensolvers in MFDn.

3

Overview | SUPER SciDAC

http://www.super-scidac.org/overview

Skip to main content. Computational scientists working on behalf of the Department of Energy’s Office of Science ( DOE. Are exploiting a new generation of petascale computing resources to make previously inaccessible discoveries in a broad range of disciplines including physics, chemistry, and material science. The computational systems underpinning this work will increase in performance potential from tens to hundreds of PF. Blue Gene/Q); and those built with accelerators (e.g., GPU. S leadership-class ...

4

Multi-Objective Optimization of HPC Kernels for Performance, Power, and Energy | SUPER SciDAC

http://www.super-scidac.org/multi-objective.html

Skip to main content. Multi-Objective Optimization of HPC Kernels for Performance, Power, and Energy.

5

Activities | SUPER SciDAC

http://www.super-scidac.org/activities

Skip to main content. To accomplish the project goals, multi-institution teams are conducting the following research activities:. We are developing performance measurement, modeling and autotuning technology for petascale and heterogeneous systems, thus permitting scientists to exploit a wide range of high-end systems from a common code base. Team leader: Mary Hall, Utah. S energy costs. Team leader: Laura Carrington, UC. Computational sciences community. This both focuses our research on the real ch...

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scidac.gov scidac.gov

SciDAC

http://www.scidac.gov/institutes.html

Biological and Environmental Research. Advanced Scientific Computing Research (ASCR). Advanced Scientific Computing Research (ASCR). Tools and resources for lowering the barriers to effectively use state-of-the-art computational systems;. Mechanisms for taking on computational grand challenges across different science application areas;. Mechanisms for incorporating and demonstrating the value of basic research results from Applied Mathematics and Computer Science; and. The main architectural features of...

aces4bgc.org aces4bgc.org

ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles

http://www.aces4bgc.org/about

Applying Computationally Efficient Schemes for BioGeochemical Cycles. The Applying Computationally Efficient Schemes for BioGeochemical Cycles (ACES4BGC) Project is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). The Quantification of Uncertainty in Extreme Scale Computations (QUEST). Computational Tools and Performance.

csm.ornl.gov csm.ornl.gov

CSMD

http://www.csm.ornl.gov/newsite/climate_dynamics.html

Computer Science and Mathematics Division. Engineering of Scientific Software. In transit Scientific Data Management. The Computational Earth Sciences group advances and communicates the predictive understanding of Earth Systems by developing and applying models, quantitative methods, and computational tools that exploit high performance computing resources. Accelerated Climate Modeling for Energy - ACME. And with more computing power comes significant expectations for scientific discovery. In the near t...

multiscale.lbl.gov multiscale.lbl.gov

Participants

http://multiscale.lbl.gov/participants

Lawrence Berkeley National Lab. Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System. Validation Verification and Uncertainty Quantification. Multiscale Fact Sheet (PDF). Leadership and oversight of project. Coordination of climate domain science. Coordination between climate domain science and UQ. Quantification of Uncertainty in Extreme Scale Computation. An Institute for SUstained Performance, Energy, and Resilience. Atmospheric Processes Team Lead. University Collabo...

multiscale.lbl.gov multiscale.lbl.gov

SciDAC Institute Interactions

http://multiscale.lbl.gov/resources/scidac-institute-interactions

Lawrence Berkeley National Lab. Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System. Validation Verification and Uncertainty Quantification. Multiscale Fact Sheet (PDF). We are collaborating with the FASTMath. SciDAC institutes in order to leverage the newest algorithmic and software advances in numerical methods, performance, and uncertainty quantification. Collaborations with the SciDAC institutes have impacted many parts of the climate system through our project.

aces4bgc.org aces4bgc.org

ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles

http://www.aces4bgc.org/pubs

Applying Computationally Efficient Schemes for BioGeochemical Cycles. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Frameworks, Algorithms, and Scalable Technologies for Mathematics (FASTMath) Institute. Quantification of Uncertainty in Extreme Scale Computations (QUEST). Argonne National Laboratory (ANL).

aces4bgc.org aces4bgc.org

ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles

http://www.aces4bgc.org/about/terms.html

Applying Computationally Efficient Schemes for BioGeochemical Cycles. Website Terms of Use. All Documents Prepared by. Oak Ridge National Laboratory. Oak Ridge, TN 37831-6036. US DEPARTMENT OF ENERGY. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Scalable Data Management, Analysis, and Visualization (SDAV).

aces4bgc.org aces4bgc.org

ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles

http://www.aces4bgc.org/about/privacy.html

Applying Computationally Efficient Schemes for BioGeochemical Cycles. This system is for authorized use only. Users (authorized or unauthorized) have no explicit or implicit expectation of privacy. ACES4BGC is a Scientific Discovery through Advanced Computing (SciDAC). Partnership Project sponsored by the U.S. Department of Energy. Office of Biological and Environmental Research (BER). And Office of Advanced Scientific Computing (ASCR). Quantification of Uncertainty in Extreme Scale Computations (QUEST).

aces4bgc.org aces4bgc.org

ACES4BGC - Applying Computationally Efficient Schemes for BioGeochemical Cycles

http://www.aces4bgc.org/links.html

Applying Computationally Efficient Schemes for BioGeochemical Cycles. Links to Related Information. Related Programs and Projects. Atmospheric Radiation Measurement (ARM) Program. Community Earth System Model (CESM). Earth System Grid Federation (ESGF). International Land Model Benchmarking (ILAMB) Project. MOAB: A Mesh-Oriented datABase. Oak Ridge Leadership Computing Facility (OLCF). Program for Climate Model Diagnosis and Intercomparison (PCMDI). Scientific Discovery through Advanced Computing (SciDAC).

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The SUPER Project | SUPER SciDAC

Skip to main content. Project is a broadly-based SciDAC. Institute with expertise in compilers and other system tools, performance engineering, energy management, and resilience. The goal of the project is to ensure that DOE. S computational scientists can successfully exploit the emerging generation of high performance computing ( HPC. Director: Bob Lucas rflucas@isi.edu. Multi-Objective Optimization of HPC. Kernels for Performance, Power, and Energy (Balaprakash, Hovland, Wild, and Tiwari). Preliminary...

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