Daniel Lowell

ASAR : Application-Specific Approximate Recovery to Mitigate Hardware Variability

D. Tullsen, U. Diego, J. Kalamatianos, 2017 .

Stencil-Aware GPU Optimization of Iterative Solvers

P. Sadayappan, Boyana Norris, Gerald Sabin, 2013, SIAM J. Sci. Comput..

Autotuning Stencil-Based Computations on GPUs

Boyana Norris, Ching-Chen Ma, Azamat Mametjanov, 2012, 2012 IEEE International Conference on Cluster Computing.

Compiler techniques to reduce the synchronization overhead of GPU redundant multithreading

Rajesh K. Gupta, Dean M. Tullsen, Manish Gupta, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

A Research Retrospective on AMD's Exascale Computing Journey

Gabriel H. Loh, Bradford M. Beckmann, Michael L. Chu, 2023, ISCA.

MIOpen: An Open Source Library For Deep Learning Primitives pdf

Chao Liu, Jing Zhou, Jing Zhang, 2019, Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2.

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs

David Kaeli, José L. Abellán, Daniel Lowell, 2021, IEEE Transactions on Parallel and Distributed Systems.