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Publications of year 2016</title>
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<h4>Publications of year 2016</h4> 
 <h3>Conference articles </h3>

<ol>

<li>
<a name="agullo:hal-01223573"></a>Emmanuel Agullo, Olivier Beaumont, Lionel Eyraud-Dubois,  and Suraj Kumar.
<strong>Are Static Schedules so Bad ? A Case Study on Cholesky Factorization</strong>.
In <em>IPDPS'16</em>, Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium, IPDPS'16, Chicago, IL, United States, May 2016.
IEEE.
[<a href="https://hal.inria.fr/hal-01223573">WWW</a>]
[<a href="https://hal.inria.fr/hal-01223573/file/heteroprioCameraReady-ieeeCompatiable.pdf">PDF</a>]
Keyword(s): On Scheduling, Cholesky Factorization, Accelerators, Heterogeneous Systems, Runtime Systems, Scheduling, Unrelated Machines.
<br /><pre>
@inproceedings{agullo:hal-01223573,
TITLE = {{Are Static Schedules so Bad ? A Case Study on Cholesky Factorization}},
AUTHOR = {Agullo, Emmanuel and Beaumont, Olivier and Eyraud-Dubois, Lionel and Kumar, Suraj},
URL = {https://hal.inria.fr/hal-01223573},
BOOKTITLE = {{IPDPS'16}},
ADDRESS = {Chicago, IL, United States},
PUBLISHER = {{IEEE}},
SERIES = {Proceedings of the 30th IEEE International Parallel \& Distributed Processing Symposium, IPDPS'16},
YEAR = {2016},
MONTH = May,
keywords = {On Scheduling, Cholesky Factorization ; Accelerators ; Heterogeneous Systems ; Runtime Systems; Scheduling ; Unrelated Machines},
PDF = {https://hal.inria.fr/hal-01223573/file/heteroprioCameraReady-ieeeCompatiable.pdf},
HAL_ID = {hal-01223573},
HAL_VERSION = {v2},

}
</pre>

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<li>
<a name="beaumont:hal-01361992"></a>Olivier Beaumont, Terry Cojean, Lionel Eyraud-Dubois, Abdou Guermouche,  and Suraj Kumar.
<strong>Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources</strong>.
In <em>International Conference on High Performance Computing, Data, and Analytics (HiPC)</em>, Hyderabad, India, December 2016.
[<a href="https://hal.inria.fr/hal-01361992">WWW</a>]
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[<a href="https://hal.inria.fr/hal-01361992v2/document">PDF</a>]
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Keyword(s): On Scheduling, STARPU, Scheduling, Linear Algebra, Heterogeneous Platforms, Task-based Scheduling, Cholesky Factorization, Simulation, Resource Aggregation.
<br /><pre>
@inproceedings{beaumont:hal-01361992,
TITLE = {{Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources}},
AUTHOR = {Beaumont, Olivier and Cojean, Terry and Eyraud-Dubois, Lionel and Guermouche, Abdou and Kumar, Suraj},
URL = {https://hal.inria.fr/hal-01361992},
BOOKTITLE = {{International Conference on High Performance Computing, Data, and Analytics (HiPC)}},
ADDRESS = {Hyderabad, India},
YEAR = {2016},
MONTH = Dec,
KEYWORDS = {On Scheduling, STARPU ; Scheduling ; Linear Algebra ; Heterogeneous Platforms ; Task-based Scheduling ; Cholesky Factorization ; Simulation ; Resource Aggregation},
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PDF = {https://hal.inria.fr/hal-01361992v2/document},
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HAL_ID = {hal-01361992},
HAL_VERSION = {v1},

}
</pre>

</li>
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<li>
<a name="garciapinto:hal-01353962"></a>Vinicius Garcia Pinto, Luka Stanisic, Arnaud Legrand, Lucas Mello Schnorr, Samuel Thibault,  and Vincent Danjean.
<strong>Analyzing Dynamic Task-Based Applications on Hybrid Platforms: An Agile Scripting Approach</strong>.
In <em>3rd Workshop on Visual Performance Analysis (VPA)</em>, Salt Lake City, United States, November 2016.
Note: Held in conjunction with SC16.
[<a href="https://hal.inria.fr/hal-01353962">WWW</a>]
[<a href="https://hal.inria.fr/hal-01353962/file/VPA_2016_paper_3.pdf">PDF</a>]
Keyword(s): On Scheduling, STARPU.
<br /><pre>
@inproceedings{garciapinto:hal-01353962,
TITLE = {{Analyzing Dynamic Task-Based Applications on Hybrid Platforms: An Agile Scripting Approach}},
AUTHOR = {Garcia Pinto, Vinicius and Stanisic, Luka and Legrand, Arnaud and Mello Schnorr, Lucas and Thibault, Samuel and Danjean, Vincent},
URL = {https://hal.inria.fr/hal-01353962},
NOTE = {Held in conjunction with SC16},
BOOKTITLE = {{3rd Workshop on Visual Performance Analysis (VPA)}},
ADDRESS = {Salt Lake City, United States},
YEAR = {2016},
MONTH = Nov,
KEYWORDS = {On Scheduling, STARPU},
PDF = {https://hal.inria.fr/hal-01353962/file/VPA_2016_paper_3.pdf},
HAL_ID = {hal-01353962},
HAL_VERSION = {v1},

}
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<li>
<a name="JaBlHU2016a"></a>Johan Janzn, David Black-Schaffer,  and Andra Hugo.
<strong>Partitioning GPUs for Improved Scalability</strong>.
In <em>IEEE 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)</em>, October 2016.
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[<a href="http://ieeexplore.ieee.org/abstract/document/7789322/">WWW</a>]
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[doi:<a href="http://dx.doi.org/10.1109/SBAC-PAD.2016.14">10.1109/SBAC-PAD.2016.14</a>]
Keyword(s): On Scheduling.
<br /><pre>
@InProceedings{JaBlHU2016a,
author = {Johan Janz{\'e}n and David Black-Schaffer and Andra Hugo},
title = {{Partitioning GPUs for Improved Scalability}},
booktitle = {IEEE 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)},
year = 2016,
KEYWORDS = {On Scheduling},
DOI = {10.1109/SBAC-PAD.2016.14},
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URL = {http://ieeexplore.ieee.org/abstract/document/7789322/},
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month = Oct
}
</pre>

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<li>
<a name="sergent:hal-01284004"></a>Marc Sergent, David Goudin, Samuel Thibault,  and Olivier Aumage.
<strong>Controlling the Memory Subscription of Distributed Applications with a Task-Based Runtime System</strong>.
In <em>21st International Workshop on High-Level Parallel Programming Models and Supportive Environments</em>, Chicago, United States, May 2016.
[<a href="https://hal.inria.fr/hal-01284004">WWW</a>]
[<a href="https://hal.inria.fr/hal-01284004/file/PID4127657.pdf">PDF</a>]
Keyword(s): On Memory Control, memory control, task-based run-time systems, compressed linear algebra, distributed computing.
<br /><pre>
@inproceedings{sergent:hal-01284004,
TITLE = {{Controlling the Memory Subscription of Distributed Applications with a Task-Based Runtime System}},
AUTHOR = {Sergent, Marc and Goudin, David and Thibault, Samuel and Aumage, Olivier},
URL = {https://hal.inria.fr/hal-01284004},
BOOKTITLE = {{21st International Workshop on High-Level Parallel Programming Models and Supportive Environments}},
ADDRESS = {Chicago, United States},
YEAR = {2016},
MONTH = May,
keywords = {On Memory Control, memory control ; task-based run-time systems ; compressed linear algebra ; distributed computing},
PDF = {https://hal.inria.fr/hal-01284004/file/PID4127657.pdf},
HAL_ID = {hal-01284004},
HAL_VERSION = {v1},

}
</pre>

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</ol>
 <h3>Internal reports </h3>

<ol>

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<li>
<a name="agullo:hal-01372022"></a>Emmanuel Agullo, Olivier Aumage, Berenger Bramas, Olivier Coulaud,  and Samuel Pitoiset.
<strong>Bridging the gap between OpenMP 4.0 and native runtime systems for the fast multipole method</strong>.
Research Report RR-8953, Inria, March 2016.
[<a href="https://hal.inria.fr/hal-01372022">WWW</a>]
[<a href="https://hal.inria.fr/hal-01372022/file/RR-8953.pdf">PDF</a>]
Keyword(s): On OpenMP Support on top of StarPU, STARPU, runtime system, parallel programming model, compiler, priority, commutativity, multicore architecture, moteur d'excution, modle de programmation parallle, compilateur, OpenMP 4.0, OpenMP 4.X, priorit, commutativit, architecture multicore.
<br /><pre>
@techreport{agullo:hal-01372022,
TITLE = {{Bridging the gap between OpenMP 4.0 and native runtime systems for the fast multipole method}},
AUTHOR = {Agullo, Emmanuel and Aumage, Olivier and Bramas, Berenger and Coulaud, Olivier and Pitoiset, Samuel},
URL = {https://hal.inria.fr/hal-01372022},
TYPE = {Research Report},
NUMBER = {RR-8953},
PAGES = {49},
INSTITUTION = {{Inria}},
YEAR = {2016},
MONTH = Mar,
KEYWORDS = {On OpenMP Support on top of StarPU, STARPU ; runtime system ; parallel programming model ; compiler ; priority ; commutativity ; multicore architecture ; moteur d'ex{\'e}cution ; mod{\`e}le de programmation parall{\`e}le ; compilateur ; OpenMP 4.0 ; OpenMP 4.X ; priorit{\'e} ; commutativit{\'e} ; architecture multicore},
PDF = {https://hal.inria.fr/hal-01372022/file/RR-8953.pdf},
HAL_ID = {hal-01372022},
HAL_VERSION = {v1},

}
</pre>

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<li>
<a name="agullo:hal-01332774"></a>Emmanuel Agullo, Olivier Aumage, Mathieu Faverge, Nathalie Furmento, Florent Pruvost, Marc Sergent,  and Samuel Thibault.
<strong>Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model</strong>.
Research Report RR-8927, Inria Bordeaux Sud-Ouest ; Bordeaux INP ; CNRS ; Universit de Bordeaux ; CEA, June 2016.
[<a href="https://hal.inria.fr/hal-01332774">WWW</a>]
[<a href="https://hal.inria.fr/hal-01332774/file/RR-8927.pdf">PDF</a>]
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Keyword(s): On MPI Support, On Memory Control, StarPU, runtime system, sequential task flow, OpenMP depend clause, heterogeneous computing, distributed computing, multicore, Cholesky factorization, support d’excution, flot de tches squentiel, clause OpenMP depend, calcul htrogne, calcul distribu, multi-coeur, GPU, factorisation de Cholesky.
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<br /><pre>
@techreport{agullo:hal-01332774,
TITLE = {{Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model}},
AUTHOR = {Agullo, Emmanuel and Aumage, Olivier and Faverge, Mathieu and Furmento, Nathalie and Pruvost, Florent and Sergent, Marc and Thibault, Samuel},
URL = {https://hal.inria.fr/hal-01332774},
TYPE = {Research Report},
NUMBER = {RR-8927},
PAGES = {27},
INSTITUTION = {{Inria Bordeaux Sud-Ouest ; Bordeaux INP ; CNRS ; Universit{\'e} de Bordeaux ; CEA}},
YEAR = {2016},
MONTH = Jun,
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KEYWORDS = {On MPI Support ; On Memory Control ; StarPU ; runtime system ; sequential task flow ; OpenMP depend clause ; heterogeneous computing ; distributed computing ; multicore ; Cholesky factorization ; support d’ex{\'e}cution ; flot de t{\^a}ches s{\'e}quentiel ; clause OpenMP depend ; calcul h{\'e}t{\'e}rog{\`e}ne ; calcul distribu{\'e} ; multi-c{\oe}ur ; GPU ; factorisation de Cholesky},
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PDF = {https://hal.inria.fr/hal-01332774/file/RR-8927.pdf},
HAL_ID = {hal-01332774},
HAL_VERSION = {v1},

}
</pre>

</li>
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<li>
<a name="agullo:hal-01387482"></a>Emmanuel Agullo, Brenger Bramas, Olivier Coulaud, Martin Khannouz,  and Luka Stanisic.
<strong>Task-based fast multipole method for clusters of multicore processors</strong>.
Research Report RR-8970, Inria Bordeaux Sud-Ouest, October 2016.
[<a href="https://hal.inria.fr/hal-01387482">WWW</a>]
[<a href="https://hal.inria.fr/hal-01387482/file/report-8970.pdf">PDF</a>]
Keyword(s): On Applications, STARPU, multicore processor, runtime system, FMM, cluster, high performance computing (HPC), fast multipole method, hybrid parallelization, task-based programming, MPI, OpenMP.
<br /><pre>
@techreport{agullo:hal-01387482,
TITLE = {{Task-based fast multipole method for clusters of multicore processors}},
AUTHOR = {Agullo, Emmanuel and Bramas, B{\'e}renger and Coulaud, Olivier and Khannouz, Martin and Stanisic, Luka},
URL = {https://hal.inria.fr/hal-01387482},
TYPE = {Research Report},
NUMBER = {RR-8970},
PAGES = {15 },
INSTITUTION = {{Inria Bordeaux Sud-Ouest}},
YEAR = {2016},
MONTH = Oct,
KEYWORDS = {On Applications, STARPU ; multicore processor ; runtime system ; FMM ; cluster ; high performance computing (HPC) ; fast multipole method ; hybrid parallelization ; task-based programming ; MPI ; OpenMP},
PDF = {https://hal.inria.fr/hal-01387482/file/report-8970.pdf},
HAL_ID = {hal-01387482},
HAL_VERSION = {v1},

}
</pre>

</li>
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<li>
<a name="agullo:hal-01316982"></a>E Agullo, L Giraud, A Guermouche, S Nakov,  and Jean Roman.
<strong>Task-based Conjugate Gradient: from multi-GPU towards heterogeneous architectures</strong>.
Research Report 8912, Inria Bordeaux Sud-Ouest, May 2016.
[<a href="https://hal.inria.fr/hal-01316982">WWW</a>]
[<a href="https://hal.inria.fr/hal-01316982/file/RR-8912.pdf">PDF</a>]
Keyword(s): High Performance Computing (HPC), multi-GPUs, heterogeneous architectures, task-based model, runtime system, sparse linear systems, Conjugate Gradient., On Applications, StarPU, scheduling.
<br /><pre>
@techreport{agullo:hal-01316982,
TITLE = {{Task-based Conjugate Gradient: from multi-GPU towards heterogeneous architectures}},
AUTHOR = {Agullo, E and Giraud, L and Guermouche, A and Nakov, S and Roman, Jean},
URL = {https://hal.inria.fr/hal-01316982},
TYPE = {Research Report},
NUMBER = {8912},
INSTITUTION = {{Inria Bordeaux Sud-Ouest}},
YEAR = {2016},
MONTH = May,
KEYWORDS = {High Performance Computing (HPC) ; multi-GPUs ; heterogeneous architectures ; task-based model ; runtime system ; sparse linear systems ; Conjugate Gradient.},
PDF = {https://hal.inria.fr/hal-01316982/file/RR-8912.pdf},
HAL_ID = {hal-01316982},
HAL_VERSION = {v1},
KEYWORDS = {On Applications, StarPU, scheduling} 
}
</pre>

</li>
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</ol>
 <h3>Miscellaneous </h3>

<ol>

<li>
<a name="beaumont:hal-01386174"></a>Olivier Beaumont, Lionel Eyraud-Dubois,  and Suraj Kumar.
<strong>Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs</strong>.
Note: Working paper or preprint, October 2016.
[<a href="https://hal.inria.fr/hal-01386174">WWW</a>]
[<a href="https://hal.inria.fr/hal-01386174/file/heteroPrioApproxProofsRR.pdf">PDF</a>]
Keyword(s): On Scheduling, STARPU, List scheduling, Approximation proofs, Runtime systems, Heterogeneous scheduling, Dense linear algebra.
<br /><pre>
@unpublished{beaumont:hal-01386174,
TITLE = {{Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs}},
AUTHOR = {Beaumont, Olivier and Eyraud-Dubois, Lionel and Kumar, Suraj},
URL = {https://hal.inria.fr/hal-01386174},
NOTE = {working paper or preprint},
YEAR = {2016},
MONTH = Oct,
KEYWORDS = {On Scheduling, STARPU ; List scheduling ; Approximation proofs ; Runtime systems ; Heterogeneous scheduling ; Dense linear algebra},
PDF = {https://hal.inria.fr/hal-01386174/file/heteroPrioApproxProofsRR.pdf},
HAL_ID = {hal-01386174},
HAL_VERSION = {v1},

}
</pre>

</li>
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