Daniel Lowell

According to our database, Daniel Lowell authored at least 8 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Research Retrospective on AMD's Exascale Computing Journey.

Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2021

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

Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli

IEEE Trans. Parallel Distributed Syst., 2021

2019

MIOpen: An Open Source Library For Deep Learning Primitives.

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

CoRR, 2019

2017

Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading.

Manish Gupta, Daniel Lowell, John Kalamatianos, Steven Raasch, Vilas Sridharan, Dean M. Tullsen, Rajesh K. Gupta

Proceedings of the 54th Annual Design Automation Conference, 2017

2013

Stencil-Aware GPU Optimization of Iterative Solvers.

Daniel Lowell, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Chekuri Choudary, Azamat Mametjanov, Boyana Norris, Gerald Sabin, P. Sadayappan, Jason Sarich

SIAM J. Sci. Comput., 2013

2012

Autotuning Stencil-Based Computations on GPUs.

Azamat Mametjanov, Daniel Lowell, Ching-Chen Ma, Boyana Norris

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2010

Time Space Tradeoffs in GA Based Feature Selection for Workload Characterization.

Dan E. Tamir, Clara Novoa, Daniel Lowell

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

New Families and New Members of Integer Sequence Based Coding Methods.

Daniel Lowell, Dan E. Tamir

Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009