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2020 – today
- 2024
[c6]Greg Henry, Eric Petit, Alexander Lyashevsky, Peter Caday:
Deconstructing HPL-MxP Benchmark: A Numerical Perspective. Euro-Par (1) 2024: 47-60- 2022
- [c5]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. IPDPS 2022: 705-716 - 2021
- [i1]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. CoRR abs/2109.14704 (2021)
2010 – 2019
- 2015
- [c4]Gene Y. Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou:
GPGPU performance and power estimation using machine learning. HPCA 2015: 564-576 - 2014
- [c3]Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski:
TOP-PIM: throughput-oriented programmable processing in memory. HPDC 2014: 85-98 - [c2]Jack Wadden, Alexander Lyashevsky, Sudhanva Gurumurthi, Vilas Sridharan, Kevin Skadron
:
Real-world design and evaluation of compiler-managed GPU redundant multithreading. ISCA 2014: 73-84 - 2013
- [c1]Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Mitesh R. Meswani, Mark Nutter, Mike Ignatowski:
A new perspective on processing-in-memory architecture design. MSPC@PLDI 2013: 7:1-7:3
Coauthor Index
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