SEARCH · Search NASA
Results for “High performance computation”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
An Overview of AI & ML for Scientific and High Performance Computing at Sandia.
Abstract not provided.
Bifacial Photovoltaic Performance Optimization Using Ray Tracing and High Performance Computing.
Abstract not provided.
An Overview of Machine Learning for Scientific and High Performance Computing at Sandia.
Abstract not provided.
An Overview of Machine Learning for Scientific and High Performance Computing at Sandia.
Abstract not provided.
HIGH-PERFORMANCE COMPUTING TO ENABLE NEXT-GENERATION LOW-TEMPERATURE WASTE HEAT RECOVERY
Explore the source record for details and available documents.
Obfuscation for high-performance computing systems
An example method includes initializing, by an obfuscation computing system, communications with nodes in a distributed computing platform, the nodes including one or more compute nodes and a controller node, and performing at least one of: (a) code-level obfuscation for the distributed computing platform to obfuscate interactions between an external user computing system and the nodes, wherein performing the code-level obfuscation comprises obfuscating data associated with one or more commands provided by the user computing system and sending one or more obfuscated commands to at least one of the nodes in the distributed computing platform; or (b) system-level obfuscation for the distributed computing platform, wherein performing the system-level obfuscation comprises at least one of obfuscating system management tasks that are performed to manage the nodes or obfuscating network traffic data that is exchanged between the nodes.
Sequence optimizations in a high-performance computing environment
Embodiments are directed to techniques to determine dataflow graph instructions comprising one or more pick/switch instruction pairs and generate a reverse static single assignment graph based on the dataflow graph instructions, the reverse static single assignment graph comprising strongly connected components, each of the strongly connected components associated with at least one of the one or more pick/switch instruction pairs. Embodiments also include traversing the reverse static single assignment graph depth-first, and replace pick/switch instructions associated with strongly connected components having configuration values with compound instructions.
Artificial Intelligence for Scientific and High Performance Computing at Sandia.
Abstract not provided.
TOSS-2020: A Commodity Software Stack for High-Performance Computing
Explore the source record for details and available documents.
Solving Complex Inverse Problems for Design and Manufacturing Using High-Performance Computing.
Abstract not provided.
Quasi-Dynamic Traffic Assignment using High Performance Computing.
Explore the source record for details and available documents.
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing
Explore the source record for details and available documents.
ACCELERATING DISCOVERY FROM HIGH PERFORMANCE COMPUTING APPLICATIONS USING DESCRIPTIVE METADATA MANAGEMENT.
Abstract not provided.
Intelligent Networks for High Performance Computing.
Abstract not provided.
High-Performance Computing, Containerized
Explore the source record for details and available documents.
Obfuscation for high-performance computing systems
An example technique includes initializing, by an obfuscation computing system, communications with nodes in a distributed computing platform. The nodes include compute nodes that provide resources in the distributed computing platform and a controller node that performs resource management of the resources. The obfuscation computing system serves as an intermediary between the controller node and the compute nodes. The technique further includes outputting an interactive user interface (UI) providing a selection between a first privilege level and a second privilege level, and performing one of: based on the selection being for the first privilege level, a first obfuscation mechanism for the distributed computing platform to obfuscate digital traffic between a user computing system and the nodes, or based on the selection being for the second privilege level, a second obfuscation mechanism for the distributed computing platform to obfuscate digital traffic between the user computing system and the nodes.