Machine Intelligence from Cortical Networks: Technical Area 1 - Sandia National Laboratories - Phase 1 site visits
Abstract not provided.
Publications
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Jump to search filtersDevelopment of PIC-DSMC Model for Laser-Triggered Vacuum Switch
Abstract not provided.
Numerical Linear Algebra Tutorial
Abstract not provided.
Neighbor Discovery for Algebraic Multigrid and Matrix Migration
Abstract not provided.
Adjoint Enhanced Methods for Uncertainty Quantification of Multiphysics Applications
Abstract not provided.
Compressed optimization of device architectures (CODA)
Abstract not provided.
Multiscale Optimization under Uncertainty For Additive Manufacturing
Abstract not provided.
Predictive Modeling of Electrons and Ions in Warm Dense Matter
Abstract not provided.
Qthreads: Run Time Library Support for Task Parallel Programming
Abstract not provided.
Sensible Machine Grand Challenge
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Coupling of Multi-fidelity Models: Applications to PNP-cDFT and local-nonlocal Poisson equations
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The Defect Band Gap
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A cross-enclave composition mechanism for exascale system software
Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2016 - In conjunction with HPDC 2016
As supercomputers move to exascale, the number of cores per node continues to increase, but the I/O bandwidth between nodes is increasing more slowly. This leads to computational power outstripping I/O bandwidth. This growth, in turn, encourages moving as much of an HPC workflow as possible onto the node in order to minimize data movement. One particular method of application composition, enclaves, co-locates different operating systems and runtimes on the same node where they communicate by in situ communication mechanisms. In this work, we describe a mechanism for communicating between composed applications. We implement a mechanism using Copy onWrite cooperating with XEMEM shared memory to provide consistent, implicitly unsynchronized communication across enclaves. We then evaluate this mechanism using a composed application and analytics between the Kitten Lightweight Kernel and Linux on top of the Hobbes Operating System and Runtime. These results show a 3% overhead compared to an application running in isolation, demonstrating the viability of this approach.
VVUQ Best Practices in Computational Science/Engineering Problems with some thoughts about extensions/limits to Complex Systems Models
Abstract not provided.
Scalable Solution Methods for Multiple-time-scale Plasma Physics Models that Enable Beyond Forward Simulations
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Towards Adjoint-enabled Beyond Forward Simulation Capabilities for Multiple-time-scale Multiphysics CFD and MHD Systems
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Exploiting Adiabaticity and Spin Refocusing for Circuit Model Multi-Qubit Gates
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Modeling Attention: Human Comprehension of Data Visualizations
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SEMANTIC GRAPHS FOR PATTERN DETECTION IN SENSOR DATA FROM MONITORING REGIMES
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Scalable Solution Methods for Multiple-time-scale Multi-physics Plasma Simulations
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A Scalable Solver Algorithm to Enable Sea-Level Rise Prediction using Agile Components
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Stochastic Adversarial Modeling for Evaluating Trust in Systems and Effectiveness of Moving Target Defense
Abstract not provided.
Performance Portable Assembly For Plasma Fluid Equations
Abstract not provided.
Scalable Solution Methods for Multiple-time-scale Plasma Physics \\ Models that Enable Beyond Forward Simulations
Abstract not provided.
Optical networks for high-performance computing: Promises and perils
5th IEEE Photonics Society Optical Interconnects Conference, OI 2016
Optical networks hold great promise for improving the performance of supercomputers, yet they have always proven just out of reach. This talk will examine the potential of optical interconnects, barriers to adoption, and possible solutions from hardware/software co-design.
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