Conference Papers
2024
- Realizing the AMD Exascale Heterogeneous Processor Vision
Alan Smith, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Samuel Naffziger, Mike Mantor, Mark Fowler, Nathan Kalyanasundharam, Vamsi Alla, Nicholas Malaya, Joseph L. Greathouse, Eric Chapman, Raja Swaminathan
Published in the Proceedings of the 51st Annual International Symposium on Computer Architecture
(ISCA 2024), June, 2024 (industry session acceptance rate: 4/26 ≈ 15%)
Abstract: HTML
Paper: PDF
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, John Alsop, Paul Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William 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, Elliott Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Greg Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, Rene van Oostrum, Eric van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov
Published in the
Proceedings of the 50th Annual International Symposium on Computer Architecture
(ISCA 2023), June, 2023 (industry session acceptance rate: 5/11 ≈ 45%)
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
PDF
2019
2018
- Machine Learning for Performance and Power Modeling of Heterogeneous Systems (Invited Paper)
Joseph L. Greathouse, Gabriel H. Loh
Published in the
Proceedings of the 2018 International Conference on Computer Aided Design
(ICCAD 2018), November, 2018
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
- Interference from GPU System Service Requests
Arkaprava Basu, Joseph L. Greathouse, Guru Venkataramani, Ján Veselý
Published in the
Proceedings of the 2018 IEEE International Symposium on Workload Characterization
(IISWC 2018), September, 2018 (acceptance rate: 17/47 ≈ 36%)
Nominated for Best Paper at IISWC'18
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
- 3D Numerical Analysis of Two-Phase Immersion Cooling for Electronic Components
Xudong An, Manish Arora, Wei Huang, William C. Brantley, Joseph L. Greathouse
Published in the
Proceedings of the 17th IEEE Intersociety Conference on Thermomechanical Phenomena in Electronic Systems
(ITherm 2018), May, 2018
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
2017
- Accelerating Matrix Processing with GPUs
Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte
Published in the
Proceedings of the 24th IEEE Symposium on Computer Arithmetic
(ARITH 24), July, 2017 (acceptance rate: 22/50 = 40%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PDF
- DVFS Space Exploration in Power Constrained Processing-in-Memory Systems
Marko Ščrbak, Joseph L. Greathouse, Nuwan Jayasena, Krishna Kavi
Published in the
Proceedings of the 30th International Conference on Architecture of Computing Systems
(ARCS 2017), April, 2017 (acceptance rate: 19/42 ≈ 45%)
Abstract: HTML
Paper: PDF | The final publication is available at Springer via
http://dx.doi.org/10.1007/978-3-319-54999-6_17
Presentation: PPTX |
PPT |
PDF
- Dynamic GPGPU Power Management using Adaptive Model Predictive Control
Abhinandan Majumdar, Leonardo Piga, Indrani Paul, Joseph L. Greathouse, Wei Huang, David H. Albonesi
Published in the
Proceedings of the 23rd IEEE International Symposium on High Performance Computer Architecture
(HPCA 2017), February, 2017 (acceptance rate: 50/224 ≈ 22%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
- Design and Analysis of an APU for Exascale Computing
Thiruvengadam Vijayaraghavan, Yasuko Eckert, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Bradford M. Beckmann, William C. Brantley, Joseph L. Greathouse, Wei Huang, Arun Karunanithi, Onur Kayiran, Mitesh Meswani, Indrani Paul, Matthew Poremba, Steven Raasch, Steven K. Reinhardt, Greg Sadowski, Vilas Sridharan
Published in the
Proceedings of the 23rd IEEE International Symposium on High Performance Computer Architecture
(HPCA 2017), February, 2017 (industry session acceptance rate: 5/15 ≈ 33%)
Abstract: HTML
Paper: IEEE |
PDF
- Dynamic Buffer Overflow Detection for GPGPUs
Christopher Erb, Mike Collins, Joseph L. Greathouse
Published in the
Proceedings of the 2017 IEEE/ACM International Symposium on Code Generation and Optimization
(CGO 2017), February, 2017 (acceptance rate: 26/116 ≈ 22%)
Abstract: HTML
Paper: ACM |
IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
Software: GitHub
2016
- Measuring and Modeling On-Chip Interconnect Power on Real Hardware
Vignesh Adhinarayanan, Indrani Paul, Joseph L. Greathouse, Wei Huang, Ashutosh Pattnaik, Wu-chun Feng
Published in the
Proceedings of the 2016 IEEE International Symposium on Workload Characterization
(IISWC 2016), September, 2016 (acceptance rate: 21/69 ≈ 30%)
Awarded Best Paper at IISWC 2016
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPTX |
PDF
- Horton Tables: Fast Hash Tables for In-Memory Data-Intensive Computing
Alex D. Breslow, Dong Ping Zhang, Joseph L. Greathouse, Nuwan Jayasena, Dean M. Tullsen
Published in the
Proceedings of the 2016 USENIX Annual Technical Conference
(USENIX ATC 2016), June, 2016 (acceptance rate: 47/247 ≈ 19%)
Abstract: HTML
Paper: USENIX |
PDF
Presentation: USENIX |
PPTX |
PPT |
PDF
2015
- Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices
Mayank Daga, Joseph L. Greathouse
Published in the
Proceedings of the 2015 IEEE International Conference on High Performance Computing
(HiPC 2015), December, 2015 (acceptance rate: 48/201 ≈ 24%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
- A Taxonomy of GPGPU Performance Scaling
Abhinandan Majumdar, Gene Wu, Kapil Dev, Joseph L. Greathouse, Indrani Paul, Wei Huang, Arjun Karthik Venugopal, Leonardo Piga, Chip Freitag, Sooraj Puthoor
Published in the
Proceedings of the 2015 IEEE International Symposium on Workload Characterization
(IISWC 2015), October, 2015 (acceptance rate: 29/61 ≈ 48%)
Abstract: HTML
Paper: IEEE |
PDF
Poster: PDF
- GPGPU Performance and Power Estimation Using Machine Learning
Gene Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou
Published in the
Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture
(HPCA 2015), February, 2015 (acceptance rate: 51/226 ≈ 23%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
2014
- PPEP: Online Performance, Power, and Energy Prediction Framework and DVFS Space Exploration
Bo Su, Junli Gu, Li Shen, Wei Huang, Joseph L. Greathouse, Zhiying Wang
Published in the
Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture
(MICRO-47), December, 2014 (acceptance rate: 53/273 ≈ 19%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
Lightning Talk: PPTX |
PPT |
PDF
Poster: PDF
- Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format
Joseph L. Greathouse, Mayank Daga
Published in the
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
(SC14), November, 2014 (acceptance rate: 83/394 ≈ 21%)
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
- TOP-PIM: Throughput-Oriented Programmable Processing in Memory
Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski
Published in the
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing
(HPDC'14), June, 2014 (acceptance rate: 21/130 ≈ 16%)
Nominated for Best Paper at HPDC'14
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
PDF
Presentation: PPTX |
PPT |
PDF
- Implementing a Leading Loads Performance Predictor on Commodity Processors
Bo Su, Joseph L. Greathouse, Junli Gu, Michael Boyer, Li Shen, Zhiying Wang
Published in the
Proceedings of the 2014 USENIX Annual Technical Conference
(USENIX ATC 2014), June, 2014 (acceptance rate: 44/241 ≈ 18%)
Abstract: HTML
Paper: USENIX |
PDF
Presentation: USENIX |
PPTX |
PPT |
PDF
Video available at USENIX
2012
2011
- Demand-Driven Software Race Detection using Hardware Performance Counters
Joseph L. Greathouse, Zhiqiang Ma, Matthew I. Frank, Ramesh Peri, Todd Austin
Published in the
Proceedings of the 38th Annual International Symposium on Computer Architecture
(ISCA 2011), June, 2011 (acceptance rate: 40/208 ≈ 19%)
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
PDF
Presentation: PPTX |
PPT |
PDF
Video available at the ACM.
- Highly Scalable Distributed Dataflow Analysis
Joseph L. Greathouse, Chelsea LeBlanc, Todd Austin, Valeria Bertacco
Published in the
Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
(CGO 2011), April, 2011 (acceptance rate: 28/105 ≈ 27%)
Awarded Best Student Presentation at CGO 2011
Abstract: HTML
Paper: IEEE |
PDF
Presentation: PPTX |
PPT |
PDF
2008
Workshop Papers
2018
2016
2014
- Adaptive GPU Cache Bypassing
Yingying Tian, Sooraj Puthoor, Joseph L. Greathouse, Bradford M. Beckmann, Daniel Jiménez
Published in the
Proceedings of the 8th Workshop on General Purpose Processing on GPUs
(GPGPU-8), June, 2014 (acceptance rate: 11/17 ≈ 65%)
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
PDF
Presentation: PPTX |
PPT |
PDF
- A Power Characterization and Management of GPU Graph Traversal
Adam McLaughlin, Indrani Paul, Joseph L. Greathouse, Srilatha Manne, Sudhakar Yalamanchili
Published at the Fourth Workshop on Architectures and Systems for Big Data
(ASBD 2014), June, 2014 (acceptance rate: 6/13 ≈ 46%)
Abstract: HTML
Paper: PDF
Presentation: PPTX |
PPT |
PDF
2013
- Simulation of Exascale Nodes through Runtime Hardware Monitoring
Joseph L. Greathouse, Alexander Lyashevsky, Mitesh Meswani, Nuwan Jayasena, Michael Ignatowski
Published at the ASCR Workshop on Modeling & Simulation of Exascale Systems & Applications
(ModSim 2013), September, 2013 (acceptance rate: 32/74 ≈ 43%)
Abstract: HTML
Paper: PDF
Presentation: PPTX |
PPT |
PDF
- A New Perspective on Processing-in-memory Architecture Design
Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph Greathouse, Mitesh Meswani, Mark Nutter, Mike Ignatowski
Published in the
Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness
(MSPC 2013), June, 2013
Abstract: HTML
Paper: ACM Author-Izer Free Download |
ACM |
PDF
Presentation: PPTX |
PPT |
PDF
2011
Ph.D. Dissertation
- Hardware Mechanisms for Distributed Dynamic Software Analysis
Joseph L. Greathouse
Abstract: HTML
Paper: DeepBlue |
PDF
Presentation: PPTX |
PPT |
PDF