Tal Ben-Nun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
14
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion. | Jacob K. Christopher, Brian R. Bartoldson, Tal Ben-Nun, Michael Cardei, Bhavya Kailkhura, Ferdinando Fioretto |
| 2025 | SC | Extending RAJA Parallel Programming Abstractions with Just-In-Time Optimization. | John Bowen, Konstantinos Parasyris, David Beckingsale, Tal Ben-Nun, Thomas Stitt, Giorgis Georgakoudis |
| 2025 | SC | C.A.T.S.: Memory and Control Flow Tracing for Whole-Program Performance Analysis. | Philipp Schaad, Tal Ben-Nun, Torsten Hoefler |
| 2024 | PPoPP | Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. | Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboosh, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler |
| 2024 | SC | Autonomous Execution for Multi-GPU Systems: Compiler Support. | Javid Baydamirli, Tal Ben-Nun, Didem Unat |
| 2023 | CGO | Bridging Control-Centric and Data-Centric Optimization. | Tal Ben-Nun, Berke Ates, Alexandru Calotoiu, Torsten Hoefler |
| 2023 | CIAC | Maximum Flows in Parametric Graph Templates. | Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik |
| 2023 | ICS | Performance Embeddings: A Similarity-Based Transfer Tuning Approach to Performance Optimization. | Lukas Trmper, Tal Ben-Nun, Philipp Schaad, Alexandru Calotoiu, Torsten Hoefler |
| 2023 | SC | VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. | Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler |
| 2023 | SC | FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. | Philipp Schaad, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Alexandros Nikolaos Ziogas, Torsten Hoefler |
| 2022 | ICCAD | Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. | Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler |
| 2022 | ICS | Lifting C semantics for dataflow optimization. | Alexandru Calotoiu, Tal Ben-Nun, Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler |
| 2022 | ICS | A data-centric optimization framework for machine learning. | Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler |
| 2022 | SC | Productive Performance Engineering for Weather and Climate Modeling with Python. | Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trmper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler |
| 2022 | SC | Boosting Performance Optimization with Interactive Data Movement Visualization. | Philipp Schaad, Tal Ben-Nun, Torsten Hoefler |
| 2022 | SC | Deinsum: Practically I/O Optimal Multi-Linear Algebra. | Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler |
| 2021 | CGO | StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. | Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler |
| 2021 | ICML | ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. | Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather |
| 2021 | ICS | NPBench: a benchmarking suite for high-performance NumPy. | Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, Torsten Hoefler |
| 2021 | PPoPP | On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. | Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler |
| 2021 | SC | Clairvoyant prefetching for distributed machine learning I/O. | Nikoli Dryden, Roman Bhringer, Tal Ben-Nun, Torsten Hoefler |
| 2021 | SC | On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations. | Grzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Jens Eirik Saethre, Andr Gaillard, Timo Schneider, Maciej Besta, Anton Kozhevnikov, Joost VandeVondele, Torsten Hoefler |
| 2021 | SC | Productivity, portability, performance: data-centric Python. | Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler |
| 2021 | SPAA | Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. | Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler |
| 2020 | CVPR | Augment Your Batch: Improving Generalization Through Instance Repetition. | Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry |
| 2020 | PPoPP | Taming unbalanced training workloads in deep learning with partial collective operations. | Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler |
| 2020 | SC | Workflows are the New Applications: Challenges in Performance, Portability, and Productivity. | Tal Ben-Nun, Todd Gamblin, Daisy S. Hollman, Hari Krishnan, Chris J. Newburn |
| 2019 | FPGA | Substream-Centric Maximum Matchings on FPGA. | Maciej Besta, Marc Fischer, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler |
| 2019 | SC | Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. | Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler |
| 2019 | SC | A data-centric approach to extreme-scale | Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernndez, Timo Schneider, Mathieu Luisier, Torsten Hoefler |
| 2019 | SC | Optimizing the data movement in quantum transport simulations via data-centric parallel programming. | Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernndez, Timo Schneider, Mathieu Luisier, Torsten Hoefler |
| 2018 | CLUSTER | Accelerating Deep Learning Frameworks with Micro-Batches. | Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka |
| 2017 | DaMoN | Big data causing big (TLB) problems: taming random memory accesses on the GPU. | Tomas Karnagel, Tal Ben-Nun, Matthias Werner, Dirk Habich, Wolfgang Lehner |
| 2017 | PPoPP | Groute: An Asynchronous Multi-GPU Programming Model for Irregular Computations. | Tal Ben-Nun, Michael Sutton, Sreepathi Pai, Keshav Pingali |
| 2015 | SC | Memory access patterns: the missing piece of the multi-GPU puzzle. | Tal Ben-Nun, Ely Levy, Amnon Barak, Eri Rubin |
| 2010 | SYSTOR | Design and implementation of a generic resource sharing virtual time dispatcher. | Tal Ben-Nun, Yoav Etsion, Dror G. Feitelson |