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ORCIDTorsten Hoefler
Torsten Höfler
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- affiliation: ETH Zürich
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2020 – today
- 2021
[j43]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 Trans. Computers 70(2): 212-227 (2021)- [j42]Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler:
High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks. IEEE Trans. Parallel Distributed Syst. 32(4): 943-959 (2021) - [j41]Johannes de Fine Licht, Maciej Besta, Simon Meierhans, Torsten Hoefler:
Transformations of High-Level Synthesis Codes for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. 32(5): 1014-1029 (2021) - [j40]Shigang Li, Tal Ben-Nun, Giorgi Nadiradze, Salvatore Di Girolamo, Nikoli Dryden, Dan Alistarh, Torsten Hoefler:
Breaking (Global) Barriers in Parallel Stochastic Optimization With Wait-Avoiding Group Averaging. IEEE Trans. Parallel Distributed Syst. 32(7): 1725-1739 (2021) - [c187]Dan Graur, Rodrigo Bruno, Joschka Bischoff, Marcel Rieser, Wolfgang Scherr, Torsten Hoefler, Gustavo Alonso:
Hermes: Enabling efficient large-scale simulation in MATSim. ANT/EDI40 2021: 635-641 - [c186]Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler:
StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CGO 2021: 315-326 - [c185]Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, Torsten Hoefler:
NPBench: a benchmarking suite for high-performance NumPy. ICS 2021: 63-74 - [c184]Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler:
Extracting clean performance models from tainted programs. PPoPP 2021: 403-417 - [c183]Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler:
On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. PPoPP 2021: 463-464 - [c182]Konstantin Taranov, Salvatore Di Girolamo, Torsten Hoefler:
CoRM: Compactable Remote Memory over RDMA. SIGMOD Conference 2021: 1811-1824 - [i85]Roman Böhringer, Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler:
Clairvoyant Prefetching for Distributed Machine Learning I/O. CoRR abs/2101.08734 (2021) - [i84]David Ittah, Thomas Häner, Vadym Kliuchnikov, Torsten Hoefler:
Enabling Dataflow Optimization for Quantum Programs. CoRR abs/2101.11030 (2021) - [i83]Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste:
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. CoRR abs/2102.00554 (2021) - [i82]Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beránek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Ozdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Pavel Kalvoda, Marek Konieczny, Onur Mutlu, Torsten Hoefler:
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. CoRR abs/2103.03653 (2021) - [i81]Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Marek Konieczny, Onur Mutlu, Torsten Hoefler:
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. CoRR abs/2104.07582 (2021) - [i80]Thomas Häner, Damian S. Steiger, Torsten Hoefler, Matthias Troyer:
Distributed Quantum Computing with QMPI. CoRR abs/2105.01109 (2021) - [i79]Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler:
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. CoRR abs/2105.07203 (2021) - [i78]Maciej Besta, Marcel Schneider, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler:
Towards Million-Server Network Simulations on Just a Laptop. CoRR abs/2105.12663 (2021) - [i77]Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler:
Motif Prediction with Graph Neural Networks. CoRR abs/2106.00761 (2021) - [i76]Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler:
Learning Combinatorial Node Labeling Algorithms. CoRR abs/2106.03594 (2021) - 2020
- [j39]Thomas Häner, Torsten Hoefler, Matthias Troyer:
Assertion-based optimization of Quantum programs. Proc. ACM Program. Lang. 4(OOPSLA): 133:1-133:20 (2020) - [j38]Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein, Arjun Pitchanathan, Michael Kruse, Manuel Rigger, Zhendong Su, Torsten Hoefler:
Fast linear programming through transprecision computing on small and sparse data. Proc. ACM Program. Lang. 4(OOPSLA): 195:1-195:28 (2020) - [j37]Jesper Larsson Träff, Torsten Hoefler:
Special issue: Selected papers from EuroMPI 2019. Parallel Comput. 99: 102695 (2020) - [j36]Carlos Osuna, Tobias Wicky, Fabian Thuering, Torsten Hoefler, Oliver Fuhrer:
Dawn: a High-level Domain-Specific Language Compiler Toolchain for Weather and Climate Applications. Supercomput. Front. Innov. 7(2): 79-97 (2020) - [j35]Asif Ali Khan, Hauke Mewes, Tobias Grosser, Torsten Hoefler, Jerónimo Castrillón:
Polyhedral Compilation for Racetrack Memories. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3968-3980 (2020) - [j34]Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes de Fine Licht, Torsten Hoefler:
Substream-Centric Maximum Matchings on FPGA. ACM Trans. Reconfigurable Technol. Syst. 13(2): 8:1-8:33 (2020) - [c181]Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry:
Augment Your Batch: Improving Generalization Through Instance Repetition. CVPR 2020: 8126-8135 - [c180]Andreas Kurth, Samuel Riedel, Florian Zaruba, Torsten Hoefler, Luca Benini:
ATUNs: Modular and Scalable Support for Atomic Operations in a Shared Memory Multiprocessor. DAC 2020: 1-6 - [c179]Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler:
Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. FPGA 2020: 244-254 - [c178]Marcus Ritter, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf:
Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. IPDPS 2020: 884-895 - [c177]Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. IPDPS 2020: 1122-1132 - [c176]Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler:
Taming unbalanced training workloads in deep learning with partial collective operations. PPoPP 2020: 45-61 - [c175]Yuyang Jin, Haojie Wang, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
Identifying scalability bottlenecks for large-scale parallel programs with graph analysis. PPoPP 2020: 409-410 - [c174]Alexandr Nigay, Lukas Mosimann, Timo Schneider, Torsten Hoefler:
Communication and Timing Issues with MPI Virtualization. EuroMPI 2020: 11-20 - [c173]Maciej Besta, Marcel Schneider, Marek Konieczny, Karolina Cynk, Erik Henriksson, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler:
FatPaths: routing in supercomputers and data centers when shortest paths fall short. SC 2020: 27 - [c172]Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: automating scaling loss detection with graph analysis. SC 2020: 28 - [c171]Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler:
An in-depth analysis of the slingshot interconnect. SC 2020: 35 - [c170]Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler:
fBLAS: streaming linear algebra on FPGA. SC 2020: 59 - [c169]Alexandru Calotoiu, Markus Geisenhofer, Florian Kummer, Marcus Ritter, Jens Weber, Torsten Hoefler, Martin Oberlack, Felix Wolf:
Empirical Modeling of Spatially Diverging Performance. HUST/ProTools@SC 2020: 71-80 - [c168]Maciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Torsten Hoefler:
High-performance parallel graph coloring with strong guarantees on work, depth, and quality. SC 2020: 99 - [c167]Lukas Gianinazzi, Torsten Hoefler:
Parallel Planar Subgraph Isomorphism and Vertex Connectivity. SPAA 2020: 269-280 - [c166]Konstantin Taranov, Benjamin Rothenberger, Adrian Perrig, Torsten Hoefler:
sRDMA - Efficient NIC-based Authentication and Encryption for Remote Direct Memory Access. USENIX Annual Technical Conference 2020: 691-704 - [p2]Alexandru Calotoiu, Marcin Copik, Torsten Hoefler, Marcus Ritter, Sergei Shudler, Felix Wolf:
ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications. Software for Exascale Computing 2020: 453-482 - [i75]Tobias Gysi, Tobias Grosser, Laurin Brandner, Torsten Hoefler:
A Fast Analytical Model of Fully Associative Caches. CoRR abs/2001.01653 (2020) - [i74]Robert Gerstenberger, Maciej Besta, Torsten Hoefler:
Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided. CoRR abs/2001.07747 (2020) - [i73]Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Snitch: A 10 kGE Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads. CoRR abs/2002.10143 (2020) - [i72]Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather:
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR abs/2003.10536 (2020) - [i71]Shigang Li, Tal Ben-Nun, Dan Alistarh, Salvatore Di Girolamo, Nikoli Dryden, Torsten Hoefler:
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging. CoRR abs/2005.00124 (2020) - [i70]Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler:
Deep Learning for Post-Processing Ensemble Weather Forecasts. CoRR abs/2005.08748 (2020) - [i69]Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser:
Domain-Specific Multi-Level IR Rewriting for GPU. CoRR abs/2005.13014 (2020) - [i68]Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko:
Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning. CoRR abs/2006.10598 (2020) - [i67]Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler:
Data Movement Is All You Need: A Case Study on Optimizing Transformers. CoRR abs/2007.00072 (2020) - [i66]Lukas Gianinazzi, Torsten Hoefler:
Parallel Planar Subgraph Isomorphism and Vertex Connectivity. CoRR abs/2007.01199 (2020) - [i65]Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler:
High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers. CoRR abs/2007.03776 (2020) - [i64]Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler:
An In-Depth Analysis of the Slingshot Interconnect. CoRR abs/2008.08886 (2020) - [i63]Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler:
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality. CoRR abs/2008.11321 (2020) - [i62]Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: Automating Scaling Loss Detection with Graph Analysis. CoRR abs/2009.01692 (2020) - [i61]Maksym Planeta, Jan Bierbaum, Leo Sahaya Daphne Antony, Torsten Hoefler, Hermann Härtig:
TardiS: Migrating Containers with RDMA Networks. CoRR abs/2009.06988 (2020) - [i60]Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler:
PsPIN: A high-performance low-power architecture for flexible in-network compute. CoRR abs/2010.03536 (2020) - [i59]Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler:
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization. CoRR abs/2010.05975 (2020) - [i58]Maciej Besta, Torsten Hoefler:
Fault Tolerance for Remote Memory Access Programming Models. CoRR abs/2010.09025 (2020) - [i57]Maciej Besta, Torsten Hoefler:
Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages. CoRR abs/2010.09135 (2020) - [i56]Hermann Schweizer, Maciej Besta, Torsten Hoefler:
Evaluating the Cost of Atomic Operations on Modern Architectures. CoRR abs/2010.09852 (2020) - [i55]Patrick Schmid, Maciej Besta, Torsten Hoefler:
High-Performance Distributed RMA Locks. CoRR abs/2010.09854 (2020) - [i54]Maciej Besta, Florian Marending, Edgar Solomonik, Torsten Hoefler:
SlimSell: A Vectorizable Graph Representation for Breadth-First Search. CoRR abs/2010.09913 (2020) - [i53]Maciej Besta, Syed Minhaj Hassan, Sudhakar Yalamanchili, Rachata Ausavarungnirun, Onur Mutlu, Torsten Hoefler:
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability. CoRR abs/2010.10683 (2020) - [i52]Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels:
Work-stealing prefix scan: Addressing load imbalance in large-scale image registration. CoRR abs/2010.12478 (2020) - [i51]Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes de Fine Licht, Torsten Hoefler:
Substream-Centric Maximum Matchings on FPGA. CoRR abs/2010.14684 (2020) - [i50]Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler:
StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CoRR abs/2010.15218 (2020) - [i49]Maciej Besta, Dimitri Stanojevic, Tijana Zivic, Jagpreet Singh, Maurice Hoerold, Torsten Hoefler:
Log(Graph): A Near-Optimal High-Performance Graph Representation. CoRR abs/2010.15879 (2020) - [i48]Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler:
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations. CoRR abs/2010.16012 (2020) - [i47]Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik:
Parametric Graph Templates: Properties and Algorithms. CoRR abs/2011.07001 (2020) - [i46]Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. CoRR abs/2011.08070 (2020) - [i45]Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle:
Deep Data Flow Analysis. CoRR abs/2012.01470 (2020) - [i44]Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler:
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing. CoRR abs/2012.14132 (2020) - [i43]Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler:
Extracting Clean Performance Models from Tainted Programs. CoRR abs/2012.15592 (2020)
2010 – 2019
- 2019
- [j33]Pedro Yébenes, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Torsten Hoefler:
Head-of-line blocking avoidance in Slim Fly networks using deadlock-free non-minimal and adaptive routing. Concurr. Comput. Pract. Exp. 31(2) (2019) - [j32]Thomas C. Schulthess, Peter Bauer, Nils Wedi, Oliver Fuhrer, Torsten Hoefler, Christoph M. Schär:
Reflecting on the Goal and Baseline for Exascale Computing: A Roadmap Based on Weather and Climate Simulations. Comput. Sci. Eng. 21(1): 30-41 (2019) - [j31]Tal Ben-Nun, Torsten Hoefler:
Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis. ACM Comput. Surv. 52(4): 65:1-65:43 (2019) - [j30]Claude Barthels, Ingo Müller, Konstantin Taranov, Gustavo Alonso, Torsten Hoefler:
Strong consistency is not hard to get: Two-Phase Locking and Two-Phase Commit on Thousands of Cores. Proc. VLDB Endow. 12(13): 2325-2338 (2019) - [j29]Sergei Shudler, Yannick Berens, Alexandru Calotoiu, Torsten Hoefler, Alexandre Strube, Felix Wolf:
Engineering Algorithms for Scalability through Continuous Validation of Performance Expectations. IEEE Trans. Parallel Distributed Syst. 30(8): 1768-1785 (2019) - [c165]Tobias Gysi, Tobias Grosser, Torsten Hoefler:
Absinthe: Learning an Analytical Performance Model to Fuse and Tile Stencil Codes in One Shot. PACT 2019: 370-382 - [c164]Niels Gleinig, Frances Ann Hubis, Torsten Hoefler:
Embedding Functions Into Reversible Circuits: A Probabilistic Approach to the Number of Lines. DAC 2019: 72 - [c163]Maciej Besta, Marc Fischer, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler:
Substream-Centric Maximum Matchings on FPGA. FPGA 2019: 152-161 - [c162]Paul R. Eller, Torsten Hoefler, William Gropp:
Using performance models to understand scalable Krylov solver performance at scale for structured grid problems. ICS 2019: 138-149 - [c161]Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler:
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. IPDPS 2019: 66-77 - [c160]Torsten Hoefler:
Invited Talk 2. IPDPS Workshops 2019: 392 - [c159]Salvatore Di Girolamo, Pirmin Schmid, Thomas C. Schulthess, Torsten Hoefler:
SimFS: A Simulation Data Virtualizing File System Interface. IPDPS 2019: 621-630 - [c158]Felix Thaler, Stefan Moosbrugger, Carlos Osuna, Mauro Bianco, Hannes Vogt, Anton Afanasyev, Lukas Mosimann, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler:
Porting the COSMO Weather Model to Manycore CPUs. PASC 2019: 13:1-13:11 - [c157]Tobias Gysi, Tobias Grosser, Laurin Brandner, Torsten Hoefler:
A fast analytical model of fully associative caches. PLDI 2019: 816-829 - [c156]Martin Küttler, Maksym Planeta, Jan Bierbaum, Carsten Weinhold, Hermann Härtig, Amnon Barak, Torsten Hoefler:
Corrected trees for reliable group communication. PPoPP 2019: 287-299 - [c155]Jesper Larsson Träff, Torsten Hoefler:
Foreword EuroMPI 2019. EuroMPI 2019: 1:1-1:2 - [c154]Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations. SC 2019: 1:1-1:13 - [c153]Cédric Renggli, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan Alistarh, Torsten Hoefler:
SparCML: high-performance sparse communication for machine learning. SC 2019: 11:1-11:15 - [c152]Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler:
Mitigating network noise on Dragonfly networks through application-aware routing. SC 2019: 16:1-16:32 - [c151]Grzegorz Kwasniewski, Marko Kabic, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler:
Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. SC 2019: 24:1-24:22 - [c150]Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler:
Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. SC 2019: 35:1-35:25 - [c149]Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler:
Network-accelerated non-contiguous memory transfers. SC 2019: 56:1-56:14 - [c148]Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
Optimizing the data movement in quantum transport simulations via data-centric parallel programming. SC 2019: 78:1-78:17 - [c147]Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler:
Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. SC 2019: 81:1-81:14 - [c146]Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler:
Streaming message interface: high-performance distributed memory programming on reconfigurable hardware. SC 2019: 82:1-82:33 - [e7]Torsten Hoefler, Jesper Larsson Träff:
Proceedings of the 26th European MPI Users' Group Meeting, EuroMPI 2019, Zürich, Switzerland, September 11-13, 2019. ACM 2019, ISBN 978-1-4503-7175-9 [contents] - [i42]Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry:
Augment your batch: better training with larger batches. CoRR abs/1901.09335 (2019) - [i41]Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler:
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. CoRR abs/1901.10183 (2019) - [i40]Salvatore Di Girolamo, Pirmin Schmid, Thomas C. Schulthess, Torsten Hoefler:
SimFS: A Simulation Data Virtualizing File System Interface. CoRR abs/1902.03154 (2019) - [i39]Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler:
Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. CoRR abs/1902.10345 (2019) - [i38]Maciej Besta, Dimitri Stanojevic, Johannes de Fine Licht, Tal Ben-Nun, Torsten Hoefler:
Graph Processing on FPGAs: Taxonomy, Survey, Challenges. CoRR abs/1903.06697 (2019) - [i37]Maciej Besta, Marcel Schneider, Karolina Cynk, Marek Konieczny, Erik Henriksson, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler:
FatPaths: Routing in Supercomputers, Data Centers, and Clouds with Low-Diameter Networks when Shortest Paths Fall Short. CoRR abs/1906.10885 (2019) - [i36]Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler:
FBLAS: Streaming Linear Algebra on FPGA. CoRR abs/1907.07929 (2019) - [i35]Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler:
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. CoRR abs/1908.04207 (2019) - [i34]Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler:
Network-Accelerated Non-Contiguous Memory Transfers. CoRR abs/1908.08590 (2019) - [i33]Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry:
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency. CoRR abs/1908.08986 (2019) - [i32]Grzegorz Kwasniewski, Marko Kabic, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler:
Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. CoRR abs/1908.09606 (2019) - [i31]Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler:
Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware. CoRR abs/1909.03231 (2019) - [i30]Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler:
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing. CoRR abs/1909.07865 (2019) - [i29]Johannes de Fine Licht, Torsten Hoefler:
hlslib: Software Engineering for Hardware Design. CoRR abs/1910.04436 (2019) - [i28]Maciej Besta, Emanuel Peter, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler:
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. CoRR abs/1910.09017 (2019) - [i27]Maciej Besta, Torsten Hoefler:
Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations. CoRR abs/1910.12897 (2019) - [i26]Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler:
Predicting Weather Uncertainty with Deep Convnets. CoRR abs/1911.00630 (2019) - [i25]Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. CoRR abs/1911.04200 (2019) - [i24]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. CoRR abs/1911.08356 (2019) - [i23]Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler:
Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. CoRR abs/1912.06526 (2019) - [i22]Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming. CoRR abs/1912.08810 (2019) - [i21]Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler:
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics. CoRR abs/1912.08950 (2019) - [i20]Maciej Besta, Torsten Hoefler:
Slim Fly: A Cost Effective Low-Diameter Network Topology. CoRR abs/1912.08968 (2019) - [i19]Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler:
A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations. CoRR abs/1912.10024 (2019)