ACM/IEEE Workshop on Irregular Applications: Architectures and Algorithms, IA3 2015


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

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Data-centric GPU-based adaptive mesh refinement

Mohamed Wahib, Naoya Maruyama

Data-centric GPU-based adaptive mesh refinement

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Generalised vectorisation for sparse matrix: vector multiplication

A. N. Yzelman

Generalised vectorisation for sparse matrix: vector multiplication

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Betweenness centrality on Multi-GPU systems

Massimo Bernaschi, Giancarlo Carbone, Flavio Vella

Betweenness centrality on Multi-GPU systems

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Tensor-matrix products with a compressed sparse tensor

Shaden Smith, George Karypis

Tensor-matrix products with a compressed sparse tensor

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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

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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

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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

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Hybrid memory cube performance characterization on data-centric workloads

Maya Gokhale, G. Scott Lloyd, Chris Macaraeg

Hybrid memory cube performance characterization on data-centric workloads

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GAIL: the graph algorithm iron law

Scott Beamer, Krste Asanovic, David A. Patterson

GAIL: the graph algorithm iron law

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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

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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

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