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Filters: Author is Eduardo D'Azevedo [Clear All Filters]
MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs : University of Tennessee, January 2019. DOI: 10.13140/RG.2.2.14906.64961
Integrating Deep Learning in Domain Sciences at Exascale,” 2020 Smoky Mountains Computational Sciences and Engineering Conference (SMC 2020), August 2020.“
Integrating Deep Learning in Domain Sciences at Exascale,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-10: University of Tennessee, August 2020.“
Integrating Deep Learning in Domain Science at Exascale (MagmaDNN) , virtual, DOD HPCMP seminar, December 2020.
The Design and Implementation of the Parallel Out of Core ScaLAPACK LU, QR, and Cholesky Factorization Routines,” Concurrency: Practice and Experience, vol. 12, no. 15, pp. 1481-1493, January 2000.“
Cray X1 Evaluation Status Report,” Oak Ridge National Laboratory Report, vol. /-2004/13, January 2004.“
Accelerating 2D FFT: Exploit GPU Tensor Cores through Mixed-Precision , Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), ACM Student Research Poster, November 2018.