| Title/Authors | Title | Research Artifacts
[?] A research
artifact is any by-product of a research project that is not
directly included in the published research paper. In Computer
Science research this is often source code and data sets, but
it could also be media, documentation, inputs to proof
assistants, shell-scripts to run experiments, etc.
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PL2AP: fast parallel cosine similarity search David C. Anastasiu, George Karypis |
PL2AP: fast parallel cosine similarity search Details |
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Data-centric GPU-based adaptive mesh refinement Mohamed Wahib, Naoya Maruyama |
Data-centric GPU-based adaptive mesh refinement Details |
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Generalised vectorisation for sparse matrix: vector multiplication A. N. Yzelman |
Generalised vectorisation for sparse matrix: vector multiplication Details |
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Betweenness centrality on Multi-GPU systems Massimo Bernaschi, Giancarlo Carbone, Flavio Vella |
Betweenness centrality on Multi-GPU systems Details |
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Tensor-matrix products with a compressed sparse tensor Shaden Smith, George Karypis |
Tensor-matrix products with a compressed sparse tensor Details |
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Dynamic parallelism for simple and efficient GPU graph algorithms Peter Zhang, Eric Holk, John Matty, Samantha Misurda, Marcin Zalewski, Jonathan Chu, Scott McMillan, Andrew Lumsdaine |
Dynamic parallelism for simple and efficient GPU graph algorithms Details |
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PathFinder: a signature-search miniapp and its runtime characteristics Aditya M. Deshpande, Jeffrey T. Draper, J. Brian Rigdon, Richard F. Barrett |
PathFinder: a signature-search miniapp and its runtime characteristics Details |
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A GPU-parallel construction of volumetric tree Mohammad M. Hossain, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc |
A GPU-parallel construction of volumetric tree Details |
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Hybrid memory cube performance characterization on data-centric workloads Maya B. Gokhale, G. Scott Lloyd, Chris Macaraeg |
Hybrid memory cube performance characterization on data-centric workloads Details |
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GAIL: the graph algorithm iron law Scott Beamer, Krste Asanovic, David A. Patterson |
GAIL: the graph algorithm iron law Details |
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Improving graph partitioning for modern graphs and architectures Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis |
Improving graph partitioning for modern graphs and architectures Details |
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Scalable task-based algorithm for multiplication of block-rank-sparse matrices Justus A. Calvin, Cannada A. Lewis, Edward F. Valeev |
Scalable task-based algorithm for multiplication of block-rank-sparse matrices Details |
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