Conference Papers

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 Duţu, 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, Gregory Rodgers, Marko Ščrbak, 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

• Tangram: Integrated Control of Heterogeneous Computers
  Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros Voulgaris, Josep Torrellas
  Published in the Proceedings of the 52nd IEEE/ACM International Symposium on Microarchitecture (MICRO-52), October, 2019 (acceptance rate: 79/344 ≈ 23%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | PDF
  Presentation: PPTX | PPT | PDF
  Lightning Talk: PPTX | PPT | PDF
  Poster: PDF

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

• Viper: Virtual Pipelines for Enhanced Reliability
  Andrea Pellegrini, Joseph L. Greathouse, Valeria Bertacco
  Published in the Proceedings of the 39th Annual International Symposium on Computer Architecture (ISCA 2012), June, 2012 (acceptance rate: 47/262 ≈ 18%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | IEEE | PDF
  Presentation: PPTX | PPT | PDF
• A Case for Unlimited Watchpoints
  Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd Austin
  Published in the Proceedings of the 17th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2012), March, 2012 (acceptance rate: 37/172 ≈ 22%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | PDF
  Presentation: PPTX | PPT | PDF

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

• Testudo: Heavyweight Security Analysis via Statistical Sampling
  Joseph L. Greathouse, Ilya Wagner, David A. Ramos, Gautam Bhatnagar, Todd Austin, Valeria Bertacco, Seth Pettie
  Published in the Proceedings of the 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-41), November, 2008 (acceptance rate: 40/210 ≈ 19%)
  Abstract: HTML
  Paper: ACM | IEEE | PDF
  Presentation: PPTX | PPT | PDF

Workshop Papers

2018

• clARMOR: A Dynamic Buffer Overflow Detector for OpenCL Kernels
  Christopher Erb, Joseph L. Greathouse
  Published in the Proceedings of the International Workshop on OpenCL (IWOCL 2018), May, 2018 (acceptance rate: 16/33 ≈ 56%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | PDF
  Presentation: IWOCL Site | PPTX | PPT | PDF
  Software: GitHub

2016

• clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library
  Joseph L. Greathouse, Kent Knox, Jakub Poła, Kiran Varaganti, Mayank Daga
  Published in the Proceedings of the International Workshop on OpenCL (IWOCL 2016), April, 2016 (acceptance rate: 15/30 = 50%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | PDF
  Presentation: IWOCL Site | PPTX | PPT | PDF
  Software: GitHub

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

• Position Paper: The Potential of Sampling for Dynamic Analysis
  Joseph L. Greathouse, Todd Austin
  Published in the Proceedings of the 6th ACM SIGPLAN Workshop on Programming Languages and Analysis for Security (PLAS 2011), June, 2011 (acceptance rate: 8/18 ≈ 44%)
  Abstract: HTML
  Paper: ACM Author-Izer Free Download | ACM | PDF
  Presentation: PPTX | PPT | PDF

Ph.D. Dissertation

• Hardware Mechanisms for Distributed Dynamic Software Analysis
  Joseph L. Greathouse
  Abstract: HTML
  Paper: DeepBlue | PDF
  Presentation: PPTX | PPT | PDF