Applications of Composable System Technology for BeeOND
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Jump to search filtersTools to Rapidly Develop Sophisticated HPC Software Libraries
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Hobbes Node Virtualization Layer: System Software Infrastructure for Application Composition and Performance Isolation
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Hobbes Node Virtualization Layer: System Software Infrastructure for Application Composition and Performance Isolation
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Remora: A MPI runtime for Composed Applications at Extreme Scale
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Toward Automatic Test Synthesis for Performance Portable Programs
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Automated Test Generation for Performance Portable Programs Using Clang/LLVM and Formal Methods
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Faodel: Data Management for Next-Generation Application Workflows
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SNL ATDM: I/O and Data Management
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EMPRESS-Extensible Metadata PRovider for Extreme-scale Scientific Simulations
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Faodail: Enabling In Situ Analytics for Next-Generation Systems
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EMPRESS?Extensible Metadata PRovider for Extreme-scale Scientific Simulations
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ATDM Data Warehouse: Data Management Services for Exascale Computing
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ATDM Data Warehouse
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Hobbes: A Multi‐Stack Approach for Application Composition and Performance Isolation
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ATDM Data Management FY2015: Data Warehouse Progress Report
The Advanced Technology Development and Mitigation (ATDM) program at Sandia National Laboratories is a new effort to build next-generation simulation codes that will map well to upcoming exascale computing platforms. Rather than follow traditional single- program, multiple data (SPMD) programming techniques, ATDM is developing applications in an asynchronous many task (AMT) form that describes work as a graph of tasks that have data dependencies. The data management team is focused on developing a data warehouse for ATDM that will enable tasks to store and exchange data objects efficiently. This report summarizes the data management teams efforts during FY15, and documents: (1) an initial API and implementation for the data warehouses key/value store, (2) API requirements for use with ATDMs runtime, (3) initial requirements for storing ATDM-specific data, and (4) the current organization of software components that will be used by the data warehouse.
Enabling Capabilities for Intergrated Application Workflows
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Kelpie: FY2014 Project Update
The ASC CSSE project Kelpie is a research and development project focused on developing a distributed, in-memory data management system that can be leveraged in a number of high-performance computing (HPC) applications. After FY13s demonstration that a key/value data store could be implemented on top of the Nessie RDMA/RPC library, we began refactoring Kelpie in FY14 in order to make it more usable by other research teams that need it for upcoming milestones. This report provides a summary of the different efforts in FY14 that took place to make Kelpie a more usable system.
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