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Research overview                  Using Advanced MPI                 Edited volumes


Peer-Reviewed Conference or Journal Articles

[1] Claude Barthels, Ingo Müller, Konstantin Taranov, Torsten Hoefler, Gustavo Alonso:
 Strong consistency is not hard to get: TwoPhase Locking and TwoPhase Commit on Thousands of Cores In Proceedings of the VLDB Endowment, Vol. 12, No. 13, VLDB Endowment, Sep. 2020,
[2] Konstantin Taranov, Benjamin Rothenberger, Adrian Perrig, Torsten Hoefler:
 sRDMA -- Efficient NIC-based Authentication and Encryption for Remote Direct Memory Access In Proceedings of the 2020 USENIX Annual Technical Conference, USENIX, Jul. 2020, (acceptance rate 18.6%, 65/348)
[3] Lukas Gianinazzi, Torsten Hoefler:
 Parallel Planar Subgraph Isomorphism and Vertex Connectivity In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'20), ACM, Jul. 2020, Best Paper Finalist (5/68)
[4] Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry:
 Increasing batch size through instance repetition improves generalization In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2020,
[5] Andreas Kurth, Samuel Riedel, Florian Zaruba, Torsten Hoefler, Luca Benini:
 ATUNs: Modular and Scalable Support for Atomic Operations in a Shared Memory Multiprocessor In Proceedings of the 57th Annual Design Automation Conference, ACM, Jun. 2020, Best Paper Finalist (6/228)
[6] Marcus Ritter, Alexandru Calotoiu, Thorsten Reimann, Torsten Hoefler, Felix Wolf:
 Performance Modeling at a Discount presented in New Orleans, LA, USA, IEEE, May 2020, Accepted at the 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS'20)
[7] Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
 Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons May 2020, In Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium
[8] Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini:
 Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores IEEE Transactions on Computers (TOC). IEEE, Apr. 2020,
[9] Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler:
 Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis Feb. 2020, In Proceedings of the 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
[10] Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler:
 Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations In Proceedings of the 25th Symposium on Principles and Practice of Parallel Programming (PPoPP'20), Feb. 2020, (acceptance rate: 23.1% (28/121))
[11] M. Besta, M. Fischer, V. Kalavri, M. Kapralov, T. Hoefler:
 Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism CoRR. Vol abs/1912.12740, Jan. 2020,
[12] Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes de Fine Licht, Torsten Hoefler:
 Substream-Centric Maximum Matchings on FPGA Jan. 2020, In Proceedings of the ACM Trans. Reconfig. Technol. Syst Special Issue, Invited Paper

Invited Talks and Presentations

[13] Torsten Hoefler:
 Deep Learning for Post-Processing Ensemble Weather Forecasts (Presentation) presented in virtual, Jun. 2020, Invited talk at the 2020 ESIWACE Workshop

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