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Publications of Torsten Hoefler
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Research overview                  Using Advanced MPI                 Edited volumes
      

2017

Peer-Reviewed Conference or Journal Articles

SC17
[1] Edgar Solomonik, Maciej Besta, F. Vella, Torsten Hoefler:
 Scaling Betweenness Centrality using Communication-Efficient Sparse Matrix Multiplication Nov. 2017, Accepted at The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17) (acceptance rate: 18% (61/327))
SC17
[2] Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov, R. E. Grant, Ron Brightwell:
 sPIN: High-performance streaming Processing in the Network In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), Nov. 2017, (acceptance rate: 18% (61/327)) Best Paper Finalist at SC17 (5/61)
IEEE TPDS
[3] Didem Unat, Anshu Dubey, Torsten Hoefler, John Shalf, Mark Abraham, Mauro Bianco, Bradford L. Chamberlain, Romain Cledat, H. Carter Edwards, Hal Finkel, Karl Fuerlinger, Frank Hannig, Emmanuel Jeannot, Amir Kamil, Jeff Keasler, Paul H J Kelly, Vitus Leung, Hatem Ltaief, Naoya Maruyama, Chris J. Newburn, and Miquel Pericas:
 Trends in Data Locality Abstractions for HPC Systems IEEE Transactions on Parallel and Distributed Systems (TPDS). Vol 28, Nr. 10, IEEE, Oct. 2017,
VLDB'17
[4] C. Barthels, Timo Schneider, Ingo Mueller, Gustavo Alonso, Torsten Hoefler:
 Distributed Join Algorithms on Thousands of Cores Vol 10, Nr. 5, In Proc. VLDB Endow., presented in Munich, Germany, pages 517--528, VLDB Endowment, ISSN: 2150-8097, Aug. 2017,
HOTI'17
[5] P. Yebenes, J. Escudero-Sahuquillo, P. J. Garcia, F. J. Quiles, Torsten Hoefler:
 Improving Non-Minimal and Adaptive Routing Algorithms in Slim Fly Networks In Proceedings of the 25th Annual Symposium on High-Performance Interconnects (HOTI'17), Aug. 2017, Best Student Paper at HOTI'17
HOTI'17
[6] Timo Schneider, J. Dinan, M. Flajslik, K. D. Underwood, and Torsten Hoefler:
 Fast Networks and Slow Memories: A Mechanism for Mitigating Bandwidth Mismatches In Proceedings of the 25th Annual Symposium on High-Performance Interconnects (HOTI'17), Aug. 2017,
HPDC'17
[7] Marius Poke, Torsten Hoefler, C. W. Glass:
 AllConcur: Leaderless Concurrent Atomic Broadcast presented in Washington, DC, USA, ACM, Jun. 2017, (acceptance rate: 19%)
HPDC'17
[8] Maciej Besta, M. Podstawski, L. Groner, Edgar Solomonik, Torsten Hoefler:
 To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations In Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'17), presented in Washington, DC, USA, ACM, Jun. 2017, (acceptance rate: 19%)
ICCS'17
[9] Andrea Arteaga, Oliver Fuhrer, Torsten Hoefler, Thomas Schulthess:
 Model-Driven Choice of Numerical Methods for the Solution of the Linear Advection Equation In Proceedings of the International Conference on Computational Science (ICCS'17), presented in Zurich, Switzerland, Elsevier, Jun. 2017,
SPAA'17
[10] Edgar Solomonik, Grey Ballard, James Demmel, Torsten Hoefler:
 A Communication-Avoiding Parallel Algorithm for the Symmetric Eigenvalue Problem Nr. 11, In Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'17), presented in Washington, DC, USA, pages 111--121, ACM, ISBN: 978-1-4503-4593-4, Jun. 2017,
IPDPS'17
[11] Maciej Besta, F. Marending, Edgar Solomonik, Torsten Hoefler:
 SlimSell: A Vectorized Graph Representation for Breadth-First Search In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017, (acceptance rate: 22%, 116/516)
IPDPS'17
[12] Salvatore Di Girolamo, F. Vella and Torsten Hoefler:
 Transparent Caching for RMA Systems In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017, (acceptance rate: 22%, 116/516)
IPDPS'17
[13] Torsten Hoefler, Amnon Barak, A. Shiloh and Z. Drezner:
 Corrected Gossip Algorithms for Fast Reliable Broadcast on Unreliable Systems In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017, (acceptance rate: 22%, 116/516)
IPDPS'17
[14] T. Wicky, Edgar Solomonik and Torsten Hoefler:
 Communication-Avoiding Parallel Algorithms for Solving Triangular Systems of Linear Equations In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017, (acceptance rate: 22%, 116/516)
IPDPS'17
[15] Sabela Ramos and Torsten Hoefler:
 Capability Models for Manycore Memory Systems: A Case-Study with Xeon Phi KNL In Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS'17), presented in Orlando, FL, USA, IEEE, May 2017, (acceptance rate: 22%, 116/516)
CIAC'17
[16] K. T. Foerster, L. Groner, Torsten Hoefler, M. Koenig, S. Schmid, R. Wattenhofer:
 Multi-agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds In Algorithms and Complexity - 10th International Conference, {CIAC} 2017, Athens, Greece, May 24-26, 2017, Proceedings, presented in Athens, Greece, May 2017,
TCDE
[17] C. Barthels, Gustavo Alonso, Torsten Hoefler:
 Designing Databases for Future High-Performance Networks IEEE Technical Committee on Data Engineering. Vol 40, Nr. 1, IEEE, Mar. 2017,
PPoPP'17
[18] Sergei Shudler, Alexandru Calotoiu, Torsten Hoefler, Felix Wolf:
 Isoefficiency in Practice: Configuring and Understanding the Performance of Task-based Applications In Proceedings of the 22nd ACM SIGPLAN symposium on Principles and practice of parallel programming, presented in College Station, TX, ACM, Feb. 2017, (acceptance rate: 21%, 29/139)

Invited Talks and Presentations

HPCDC
[19] Torsten Hoefler, Sabela Ramos, Carlos Osuna, Felix Thaler, S. Moosbrugger, Oliver Fuhrer:
 Capability Models for Manycore Memory Systems: A Case-Study with Xeon Phi KNL and the COSMO Weather Code (Presentation) presented in Denver, CO, Nov. 2017, Presentation at the Intel HPC Developer's Conference 2017
Co-Design
[20] Torsten Hoefler, Sabela Ramos, Tal Ben-Nun:
 HPC Performance Optimization Advances at Extreme Scale (Presentation) presented in Hefei, China, Oct. 2017, Invited talk at the Co-Design workshop (HPC China 2017)
25 Years MPI
[21] Torsten Hoefler:
 A View on MPI's Recent Past, Present, and Future (Presentation) presented in Chicago, IL, Sep. 2017, Invited talk at 25 Years of MPI Symposium
EMBRACE
[22] Torsten Hoefler:
 Scientific Benchmarking of Parallel Computing Systems (Presentation) presented in Orlando, FL, Jun. 2017, Keynote talk at EMBRACE Workshop (IPDPS'17)
IPDRM
[23] Torsten Hoefler:
 Progress in automatic GPU compilation and why you want to run MPI on your GPU. (Presentation) presented in Orlando, FL, Jun. 2017, Invited talk at IPDRM Workshop (IPDPS'17)
Uni Saarland
[24] Torsten Hoefler:
 Progress in automatic GPU compilation and why you want to run MPI on your GPU. (Presentation) presented in Orlando, FL, Jun. 2017, Invited talk at IPDRM Workshop (IPDPS'17)
HPCAC
[25] Torsten Hoefler:
 dCUDA: Hardware Supported Overlap of Computation and Communication (Presentation) Apr. 2017,
HiPINEB
[26] Torsten Hoefler:
 HiPINEB Panel (highly exaggerated) (Presentation) presented in Austin, TX, USA, Feb. 2017,
ARM
[27] Torsten Hoefler:
 High-Performance Distributed RMA Locks (Presentation) presented in Austin, TX, Feb. 2017, Seminar at ARM Research
UT Austin
[28] Torsten Hoefler:
 Progress in automatic GPU compilation and why you want to run MPI on your GPU. (Presentation) presented in Austin, TX, Feb. 2017, Seminar at University of texas Austin
FAU
[29] Torsten Hoefler:
 Accelerating weather and climate simulations on heterogeneous architectures (Presentation) presented in Erlangen, Germany, Feb. 2017, Colloquium at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg
UIUC
[30] Torsten Hoefler:
 Progress in automatic GPU compilation and why you want to run MPI on your GPU. (Presentation) presented in Champaign, IL, Jan. 2017, Seminar at University of Illinois at Urbana-Champaign/NCSA
ANL
[31] Torsten Hoefler:
 High-Performance Distributed RMA Locks (Presentation) presented in Champaign, IL, Jan. 2017, Seminar at University of Illinois at Urbana-Champaign/NCSA
Tsinghua
[32] Torsten Hoefler:
 Progress in automatic GPU compilation and why you want to run MPI on your GPU. (Presentation) presented in Beijing, China, Jan. 2017, Seminar at Tsinghua University, Beijing, China
ICT/CAS
[33] Torsten Hoefler:
 Accelerating weather and climate simulations on heterogeneous architectures (Presentation) presented in Beijing, China, Jan. 2017, Distinguished colloquium at the Institute of Computing Technology at the Chinese Academy of Sciences, Beijing, China Distinguished colloquium

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