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Results for “out of memory”
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.
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A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations
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A physically-informed long short-term memory-based tool for predicting extensive droughts in the distant future
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Developing memory-based models of ACT-R within a statistical framework
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Fast shared-memory streaming multilevel graph partitioning
In this report we show that a fast parallel graph partitioner can benefit many applications by reducing data transfers. The online methods for partitioning graphs have to be fast and they often rely on simple one-pass streaming algorithms, while the offline methods for partitioning graphs contain more involved algorithms and the most successful methods in this category belong to the multilevel approaches. In this work, we assess the feasibility of using streaming graph partitioning algorithms within the multilevel framework. Our end goal is to come up with a fast parallel offline multilevel partitioner that can produce competitive cutsize quality. We rely on a simple but fast and flexible streaming algorithm throughout the entire multilevel framework. This streaming algorithm serves multiple purposes in the partitioning process: a clustering algorithm in the coarsening, an effective algorithm for the initial partitioning, and a fast refinement algorithm in the uncoarsening. Its simple nature also lends itself easily for parallelization. The experiments on various graphs show that our approach is on the average up to 5.1x faster than the multi-threaded MeTiS, which comes at the expense of only 2x worse cutsize.
Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data
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Identifying challenges and opportunities of in-memory computing on large HPC systems
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The effect of laser scanning strategy on NiTi shape memory alloys processed by laser powder bed fusion
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Thermodynamic origin of nonvolatility in resistive memory
Electronic switches based on the migration of high-density point defects, or memristors, are poised to revolutionize post-digital electronics. Despite significant research, key mechanisms for filament formation and oxygen transport remain unresolved, hindering our ability to predict and design device properties. For example, experiments have achieved 10 orders of magnitude longer retention times than predicted by current models. Here, using electrical measurements, scanning probe microscopy, and first-principles calculations on tantalum oxide memristors, we reveal that the formation and stability of conductive filaments crucially depend on the thermodynamic stability of the amorphous oxygen-rich and oxygen-poor compounds, which undergo composition phase separation. Including the previously neglected effects of this amorphous phase separation reconciles unexplained discrepancies in retention and enables predictive design of key performance indicators such as retention stability. Furthermore, this result emphasizes non-ideal thermodynamic interactions as key design criteria in post-digital devices with defect densities substantially exceeding those of today’s covalent semiconductors.
NiTi shape memory alloy helixes through the hydriding-dehydring method
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A Heavy Ion Monitor on a Chip based on a non-volatile memory architecture
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Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems
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Investigation of thermomechanical behaviors of acrylate-based shape memory polymers by molecular dynamics simulation
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MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations
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