Institution
Sandia National Laboratories
Facility•Livermore, California, United States•
About: Sandia National Laboratories is a facility organization based out in Livermore, California, United States. It is known for research contribution in the topics: Laser & Combustion. The organization has 21501 authors who have published 46724 publications receiving 1484388 citations. The organization is also known as: SNL & Sandia National Labs.
Topics: Laser, Combustion, Thin film, Hydrogen, Finite element method
Papers published on a yearly basis
Papers
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Argonne National Laboratory1, Intel2, University of Texas at Austin3, University of Illinois at Urbana–Champaign4, Purdue University5, Lawrence Livermore National Laboratory6, IBM7, University of Chicago8, Los Alamos National Laboratory9, Information Sciences Institute10, Oak Ridge National Laboratory11, Booz Allen Hamilton12, Science Applications International Corporation13, Pacific Northwest National Laboratory14, Advanced Micro Devices15, Stanford University16, Hewlett-Packard17, Sandia National Laboratories18
TL;DR: This report presents a report produced by a workshop on ‘Addressing failures in exascale computing’ held in Park City, Utah, 4–11 August 2012, which summarizes and builds on discussions on resilience.
Abstract: We present here a report produced by a workshop on 'Addressing failures in exascale computing' held in Park City, Utah, 4-11 August 2012. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system, discuss existing knowledge on resilience across the various hardware and software layers of an exascale system, and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach.
The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia, and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.
406 citations
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TL;DR: In this paper, a nanoscale continuum theory is established to directly incorporate interatomic potentials into a continuum analysis without any parameter fitting, which is applied to study the linear elastic modulus of a single-wall carbon nanotube.
406 citations
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15 Dec 2008TL;DR: Memory-Efficient Tucker (MET) is proposed, which achieves over 1000X space reduction without sacrificing speed; it also allows us to work with much larger tensors that were too big to handle before.
Abstract: Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensionalities. Tensors (i.e., multi-way arrays) provide a natural representation for such data. Consequently, tensor decompositions such as Tucker become important tools for summarization and analysis. One major challenge is how to deal with high-dimensional, sparse data. In other words, how do we compute decompositions of tensors where most of the entries of the tensor are zero. Specialized techniques are needed for computing the Tucker decompositions for sparse tensors because standard algorithms do not account for the sparsity of the data. As a result, a surprising phenomenon is observed by practitioners: Despite the fact that there is enough memory to store both the input tensors and the factorized output tensors, memory overflows occur during the tensor factorization process. To address this intermediate blowup problem, we propose Memory-Efficient Tucker (MET). Based on the available memory, MET adaptively selects the right execution strategy during the decomposition. We provide quantitative and qualitative evaluation of MET on real tensors. It achieves over 1000X space reduction without sacrificing speed; it also allows us to work with much larger tensors that were too big to handle before. Finally, we demonstrate a data mining case-study using MET.
406 citations
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TL;DR: In this article, the performance of hydrogen production via steam methane reforming (SMR) is evaluated using exergy analysis, with emphasis on exergy flows, destruction, waste, and efficiencies.
404 citations
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TL;DR: Directed light fabrication (DLF) and laser engineered net shaping (LENS TM ) processes have been proven feasible for fabricating components from nearly any metal system to near-net shape accuracy with mechanical properties approaching and in some cases exceeding the properties found in conventional processed wrought structures.
404 citations
Authors
Showing all 21652 results
Name | H-index | Papers | Citations |
---|---|---|---|
Lily Yeh Jan | 162 | 467 | 73655 |
Jongmin Lee | 150 | 2257 | 134772 |
Jun Liu | 138 | 616 | 77099 |
Gerbrand Ceder | 137 | 682 | 76398 |
Kevin M. Smith | 114 | 1711 | 78470 |
Henry F. Schaefer | 111 | 1611 | 68695 |
Thomas Bein | 109 | 677 | 42800 |
David Chandler | 107 | 424 | 52396 |
Stephen J. Pearton | 104 | 1913 | 58669 |
Harold G. Craighead | 101 | 569 | 40357 |
Edward Ott | 101 | 669 | 44649 |
S. Das Sarma | 100 | 951 | 58803 |
Richard M. Crooks | 97 | 419 | 31105 |
David W. Murray | 97 | 699 | 43372 |
Alán Aspuru-Guzik | 97 | 628 | 44939 |