hpc.pnl.gov

PNNL: High-Performance Computing

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. Data-intensive computing starts from analysis and interpretation of massive amounts of data data that are needed to build models and constrain the space of feasible models that make simulations computationally tractable. These data sets are much too large for effective storage, manipulation, archiving, navigation, visualization, and understanding. PNNL is successful in high performance computing by merging multiple area...

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PNNL: High-Performance Computing | hpc.pnl.gov Reviews

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Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. Data-intensive computing starts from analysis and interpretation of massive amounts of data data that are needed to build models and constrain the space of feasible models that make simulations computationally tractable. These data sets are much too large for effective storage, manipulation, archiving, navigation, visualization, and understanding. PNNL is successful in high performance computing by merging multiple area...

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PNNL: High-Performance Computing | hpc.pnl.gov Reviews

https://hpc.pnl.gov

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. Data-intensive computing starts from analysis and interpretation of massive amounts of data data that are needed to build models and constrain the space of feasible models that make simulations computationally tractable. These data sets are much too large for effective storage, manipulation, archiving, navigation, visualization, and understanding. PNNL is successful in high performance computing by merging multiple area...

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hpc.pnl.gov

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PNNL: High-Performance Computing

http://hpc.pnl.gov/active-storage

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. One approach to reduce the bandwidth requirements between storage and compute devices, and to leverage the computing capacity of the storage nodes, is, when possible, to move computation closer to the storage devices. We call this approach Active Storage in context of parallel file systems. This effort is a part of the DoE SciDAC SDM project. Active Storage for Lustre. Active Storage for PVFS. Evan J. Felix. Evan J....

2

PNNL: TASCEL Task Scheduling Library

http://hpc.pnl.gov/tascel

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. TASCEL: Task Scheduling Library. Following is some recent work on algorithms for finer-grained concurrency abstractions using the TASCEL library. Scheduling and Load Balancing. J Lifflander, S. Krishnamoorthy, and L. Kale. "Work stealing and persistence-based load balancers for iterative overdecomposed applications". HPDC'12. Aggregate Remote Memory Copy Interface. Communications Runtime for Extreme Scale.

3

PNNL: High-Performance Computing

http://hpc.pnl.gov/comex

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. ComEx: Communications Runtime for Extreme Scale. The latest version of ComEx is bundled with the Global Arrays software as of GA 5.4b. Future versions of ComEx will be available stand-alone. Please see the GA download page to download ComEx. As part of GA 5.4b. We request you to include the following reference in your paper, if you are using Global Arrays 5.3 or above. Aggregate Remote Memory Copy Interface.

4

PNNL: Aggregate Remote Memory Copy Interface

http://hpc.pnl.gov/armci

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. ARMCI: Aggregate Remote Memory Copy Interface. Global Arrays project, EMSL. And recently by the Center for Programming Models for Scalable Parallel Computing. IBM BlueGene/P, BlueGene/L and SPs (based on LAPI). Unix workstations and servers: Sun, SGI, HP, IBM, Linux. Clusters of Unix and Windows NT workstations/servers, including the HP/Quadrics Alphaserver cluster and Quadrics Linux clusters. Fujitsu and NEC Systems.

5

Workshop on Multithreaded Architectures and Applications

http://hpc.pnl.gov/mtaap

Workshop on Multithreaded Architectures and Applications. Held in Conjunction with the. International Parallel and Distributed Processing Symposium. Multithreading (MT) programming and execution models are starting to permeate the high-end and mainstream computing scene. This trend is driven by the need to increase processor utilization and deal with the memory-processor speed gap. Recent and upcoming examples architectures that fit this profile are. T1), IBM (Power6), Intel (Xeon with hyperthreading.

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hpc.pnl.gov

PNNL: High-Performance Computing

Pacific Northwest National Laboratory. Skip to Main Content. US Department of Energy. Data-intensive computing starts from analysis and interpretation of massive amounts of data data that are needed to build models and constrain the space of feasible models that make simulations computationally tractable. These data sets are much too large for effective storage, manipulation, archiving, navigation, visualization, and understanding. PNNL is successful in high performance computing by merging multiple area...

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