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Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale
The Adaptable I/O System (ADIOS) represents the culmination of substantial investment in Scientific Data Management, and it has demonstrated success for several important extreme-scale science cases. However, looking towards the exascale and beyond, we see the development of yet more stringent data management requirements that require new abstractions. Therefore, there is an opportunity to attempt to connect the traditional realms of HPC I/O optimization with the Database / Data Management community. As such, in this paper we offer some specific examples from our ongoing work in managing data structures, services, and performance at the extreme scale for scientific computing. Using the publish/subscribe model afforded by ADIOS, we demonstrate a set of services that connect data format, metadata, queries, data reduction, and high-performance delivery. The resulting publish/subscribe framework facilitates connection to on-line workflow systems to enable the dynamic capabilities that will be required for exascale science.
Extended abstract: Bayesian model selection for metal yield models in high-velocity impact.
Abstract not provided.
Abstract for Machine Learning Approach to Understanding HPC Application Performance Variation Poster.
Abstract not provided.
HALucinator Firmware Re-hosting Through Abstraction Layer Emulation.
Abstract not provided.
The Future of Parallelism and Concurrency in C++ and How It Relates to DOE Abstraction Layers.
Abstract not provided.
Abstract and bio for upcoming presentation at Purdue University.
Abstract not provided.
Short bio and abstract of tech talk - Control Systems and Automatic Testers.
Abstract not provided.
Cognitive Science & Technology External Advisory Board 2012: Speaker Bios and Presentation Abstracts.
Abstract not provided.
Extended abstract for "Kokkos a Manycore Device Performance Portability Library for C++ HPC Applications".
Abstract not provided.
Naval Force Health Protection Program Review 2020 Abstract and Quad Chart.
Abstract not provided.
Naval Force Health Protection Program Review 2020 Abstract and Quad Chart C2B2.
Abstract not provided.
Naval Force Health Protection Program Review 2020 Abstract and Quad Chart SS.
Abstract not provided.
Implementation and Validation of Hypersonic Motion Primitives for Reinforcement Learning Using Optimal Control Theory (Extended Abstract).
Abstract not provided.
HALucinator Firmware Re-hosting Through Abstraction Layer Emulation.
Abstract not provided.
Refactoring MCMC for Uncertainty Quantification using Abstract Datatypes and Class Inheritance.
Abstract not provided.
Electrochemically Converting CO2 to Formate at Three-Dimensionally Structured Tin Nanocatalysts Abstract
Abstract for ACS 2021 Spring Meeting