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Daniel Lowell
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2020 – today
- 2023
- [c5]Gabriel H. Loh
, Michael J. Schulte
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14 - 2021
- [j2]Shi Dong
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021)
2010 – 2019
- 2019
- [i1]Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga:
MIOpen: An Open Source Library For Deep Learning Primitives. CoRR abs/1910.00078 (2019) - 2017
- [c4]Manish Gupta, Daniel Lowell, John Kalamatianos, Steven Raasch, Vilas Sridharan, Dean M. Tullsen
Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading. DAC 2017: 65:1-65:6 - 2013
- [j1]Daniel Lowell, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Chekuri Choudary, Azamat Mametjanov
Stencil-Aware GPU Optimization of Iterative Solvers. SIAM J. Sci. Comput. 35(5) (2013) - 2012
- [c3]Azamat Mametjanov
Autotuning Stencil-Based Computations on GPUs. CLUSTER 2012: 266-274 - 2010
- [c2]Dan E. Tamir, Clara Novoa
Time Space Tradeoffs in GA Based Feature Selection for Workload Characterization. IEA/AIE (2) 2010: 643-652
2000 – 2009
- 2009
- [c1]Daniel Lowell, Dan E. Tamir:
New Families and New Members of Integer Sequence Based Coding Methods. DCC 2009: 456
Coauthor Index
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