Publications

Journals
  1. Tongsheng Geng, Marcos Amaris, Stéphane Zuckerman, Alfredo Goldman, Guang R. Gao & Jean-Luc Gaudiot. A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures. Int J Parallel Prog (2021). URL: https://link.springer.com/article/10.1007%2Fs10766-021-00721-2
  2. Alberto. Scionti, Somnath Mazumdar and Stéphane Zuckerman, Enabling Massive Multi-Threading with Fast Hashing in IEEE Computer Architecture Letters, vol. 17, no. 1, pp. 1-4, 1 Jan.-June 2018. doi: 10.1109/LCA.2017.2697863 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7911285&isnumber=8316264
  3. Jaime Arteaga, Stéphane Zuckerman, and Guang R. Gao: Generating Fine-Grain Multithreaded Applications Using a Multigrain Approach. TACO 14(4): 47:1—47:26 (2017)
  4. Roberto Giorgi, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, Paolo Faraboschi, Bernhard Fechner, Guang R. Gao, Arne Garbade, Rahul Gayatri, Sylvain Girbal, Daniel Goodman, Behran Khan, Souad Koliaï, Joshua Landwehr, Nhat Minh Lê, Feng Li, Mikel Lujàn, Avi Mendelson, Laurent Morin, Nacho Navarro, Tomasz Patejko, Antoniu Pop, Pedro Trancoso, Theo Ungerer, Ian Watson, Sebastian Weis, Stéphane Zuckerman, and Mateo Valero. Teraflux: Harnessing dataflow in next generation teradevices. Microprocessors and Microsystems, 38(8, Part B):976 — 990, 2014.
  5. Patrick Carribault, Stéphane Zuckerman, Albert Cohen, and William Jalby. Deep jam: Conversion of coarse-grain parallelism to fine-grain and vector parallelism. J. Instruction-Level Parallelism, 9, 2007.
Conferences
  1. Tarek Elouaret, Sylvain Colomer, Frederic Demelo, Nicolas Cuperlier, Olivier Romain, Lounis Kessal, Stéphane Zuckerman. Implementation of a bio-inspired neural architecture for autonomous vehicle on a reconfigurable platform, 2022. IEEE 30th International Symposium on Industrial Electronics (ISIE), 2022. Accepted paper.
  2. Tarek Elouaret, Stéphane Zuckerman, Lounis Kessal, Yoan Espada, Nicolas Cuperlier, Guillaume Bresson, Fehti Ben Ouezdou, and Olivier Romain. Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems, 2019. UK / China Emerging Technologies (UCET), Glasgow, United Kingdom, 2019, pp. 1-2. doi: 10.1109/UCET.2019.8881834.
  3. Jie Tang, Shaoshan Liu, Songwen Pei, Stéphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot. Teaching Autonomous Driving Using a Modular and Integrated Approach. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, 2018, pp. 361—366. Final version available in IEEExplore.
  4. Jaime Arteaga, Stéphane Zuckerman, and Guang R. Gao. Multigrain Parallelism: Bridging Coarse-Grain Parallel Programs and Fine-Grain Event-Driven Multithreading. In 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2017.
  5. Songwei Pei, Jinkai Wang, Wenyang Cui, Linhua Jiang, Tongsheng Geng, Jean-Luc Gaudiot, and Stephane Zuckerman. Codelet scheduling by genetic algorithm. In 2016 IEEE Trustcom/BigDataSE/ISPA, pages 1492—1499, Aug 2016.
  6. Sunil Shrestha, Joseph Manzano, Andrès Márquez, Stéphane Zuckerman, Shuaiwen Song, and Guang R. Gao. Gregarious data re-structuring in a many core architecture. In 17th IEEE International Conference on High Performance Computing and Communications, HPCC 2015, 7th IEEE International Symposium on Cyberspace Safety and Security, CSS 2015, and 12th IEEE International Conference on Embedded Software and Systems, ICESS 2015, New York, NY, USA, August 24-26, 2015, pages 712—720, 2015.
  7. Haitao Wei, Stéphane Zuckerman, Xiaoming Li, and Guang R. Gao. A dataflow programming language and its compiler for streaming systems. In Proceedings of the International Conference on Computational Science, ICCS 2014, Cairns, Queensland, Australia, 10-12 June, 2014, pages 1289—1298, 2014.
  8. Joshua Suetterlein, Stéphane Zuckerman, and Guang R. Gao. An implementation of the codelet model. In Euro-Par 2013 Parallel Processing - 19th International Conference, Aachen, Germany, August 26-30, 2013. Proceedings, pages 633--644, 2013.
  9. Marco Solinas, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, Paolo Faraboschi, Bernhard Fechner, Guang R. Gao, Arne Garbade, Sylvain Girbal, Daniel Goodman, Behram Khan, Souad Koliai, Feng Li, Mikel Lujàn, Laurent Morin, Avi Mendelson, Nacho Navarro, Antoniu Pop, Pedro Trancoso, Theo Ungerer, Mateo Valero, Sebastian Weis, Ian Watson, Stéphane Zuckerman, and Roberto Giorgi. The TERAFLUX project: Exploiting the dataflow paradigm in next generation teradevices. In 2013 Euromicro Conference on Digital System Design, DSD 2013, Los Alamitos, CA, USA, September 4-6, 2013, pages 272—279, 2013.
  10. Stéphane Zuckerman, Marc Pérache, and William Jalby. Fine tuning matrix multiplications on multicore. In High Performance Computing - HiPC 2008, 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings, pages 30--41, 2008.
Workshops
  1. Tongsheng Geng, Marcos Amaris, Stéphane Zuckerman, Alfredo Goldman, Guang R. Gao, et al. PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures , 2020. Job Scheduling Strategies for Parallel Processing, May 2020, New Orleans, LO, United States.
  2. Tongsheng Geng, Stéphane Zuckerman, José Monsalve, Alfredo Goldman, Sami Habib, Jean-Luc Gaudiot, and Guang R. Gao. The importance of efficient fine-grain synchronization for many-core systems. In Languages and Compilers for Parallel Computing - 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers, pages 203--217, 2016.
  3. Kelly Livingston, Aaron Landwehr, José Monsalve, Stéphane Zuckerman, Benoît Meister, and Guang R. Gao. Energy avoiding matrix multiply. In Languages and Compilers for Parallel Computing — 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers, pages 55--70, 2016.
  4. Jaime Arteaga, Stéphane Zuckerman, Elkin Garcia, and Guang Gao. Position Paper: Locality-Driven Scheduling of Tasks for Data-Dependent Multithreading. In Workshop on Multi-Threaded Architectures and Applications (MTAAP 2014), Phoenix, USA, may 2014.
  5. Stéphane Zuckerman, Aaron Landwehr, Kelly Livingston and Guang R. Gao. Toward a Self-Aware Codelet Execution Model. In 2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing, Edmonton, AB, 2014, pp. 26-29.
  6. Stéphane Zuckerman, Haitao Wei, Guang R. Gao, Howard Wong, Jean-Luc Gaudiot and Ahmed Louri. A Holistic Dataflow-Inspired System Design. In 2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing, Edmonton, AB, 2014, pp. 46-49.
  7. Chen Chen, Yao Wu, Stéphane Zuckerman, and Guang R. Gao. Towards memory-load balanced fast fourier transformations in fine-grain execution models. In 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013, pages 1607--1617, 2013.
  8. Aaron Landwehr, Stéphane Zuckerman, and Guang R. Gao. Toward a self-aware system for exascale architectures. In Euro-Par 2013: Parallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers, pages 812--822, 2013.
  9. Stéphane Zuckerman, Joshua Suetterlein, Rob Knauerhase, and Guang R. Gao. Using a "codelet" program execution model for exascale machines: Position paper. In Proceedings of the 1st International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era, EXADAPT '11, pages 64--69, New York, NY, USA, 2011. ACM.
  10. Stéphane Zuckerman and William Jalby. Tackling cache-line stealing effects using run-time adaptation. In Languages and Compilers for Parallel Computing - 23rd International Workshop, LCPC 2010, Houston, TX, USA, October 7-9, 2010. Revised Selected Papers, pages 62--76, 2010.
  11. Andres Charif Rubial, Souad Koliai, Stéphane Zuckerman, Bettina Krammer, William Jalby, and Quang Dinh. An approach to application performance tuning. In Parallel Computing: From Multicores and GPU's to Petascale, Proceedings of the conference ParCo 2009, 1-4 September 2009, Lyon, France, pages 653--660, 2009.
  12. Benedetto Risio, Alexander Berreth, Stéphane Zuckerman, Souad Koliai, Mickaël Ivascot, William Jalby, Bettina Krammer, Bernd Mohr, and Thomas William. How to accelerate an application: a practical case study in combustion modelling. In Parallel Computing: From Multicores and GPU's to Petascale, Proceedings of the conference ParCo 2009, 1-4 September 2009, Lyon, France, pages 661--668, 2009.
  13. Souad Koliaï, Stéphane Zuckerman, Emmanuel Oseret, Mickaël Ivascot, Tipp Moseley, Quang Dinh, and William Jalby. A balanced approach to application performance tuning. In Languages and Compilers for Parallel Computing, 22nd International Workshop, LCPC 2009, Newark, DE, USA, October 8-10, 2009, Revised Selected Papers, pages 111--125, 2009.

© 2017-2022, Stéphane Zuckerman