.. _DYAD_publication: ****************************** Publications and Presentations ****************************** Papers ###### .. _paper-sbacpad-2024: * H. Devarajan, I. Lumsden, C. Wang, K. Georgouli, T. Scogland, J. Yeom, and M. Taufer, "DYAD: Locality-aware Data Management for accelerating Deep Learning Training," *IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)*, Nov. 2024. :download:`PDF <_static/Paper_2024_SBACPAD_DYAD.pdf>` .. _paper-ipdpsw-2024: * I. Lumsden, H. Devarajan, J. Marquez, S. Brink, D. Boehme, O. Pearce, J. Yeom, and M. Taufer, "Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems," in *2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)*, May 2024. :download:`PDF <_static/Paper_2024_IPDPS_HiCOMB_DYAD.pdf>` Posters ####### * J. Yeom, D. H. Ahn, I. Lumsden, J. Luettgau, S. Caino-Lores, and M. Taufer, “Ubique: A new model for untangling inter-task data dependence in complex HPC workflows,” in *2022 IEEE 18th international conference on e-science (e-science)*, 2022, pp. 421–422. doi: `10.1109/eScience55777.2022.00068 `_. :download:`Paper PDF <_static/ShortPaper_2022_eScience_LLNL.pdf>` | :download:`Poster PDF <_static/Poster_2022_eScience_LLNL.pdf>` * I. Lumsden, J. Yeom, H. Devarajan, K. Mohror, and M. Taufer, "Enabling Transparent, High-Throughput Data Movement for Scientific Workflows on HPC Systems," presented in ACM Student Research Competition at SC' 23. :download:`Extended Abstract PDF <_static/ExtendedAbstract_2023_SC_ACM_SRC_DYAD.pdf>` | :download:`Poster PDF <_static/Poster_2023_SC_ACM_SRC_DYAD.pdf>`