Joseph L. Greathouse
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
13
Active years
2008–2024
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ISCA | Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product. | Alan Smith, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Samuel Naffziger, Mike Mantor, Nathan Kalyanasundharam, Vamsi Alla, Nicholas Malaya, Joseph L. Greathouse, Eric Chapman, Raja Swaminathan |
| 2023 | ISCA | 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, Ren van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov |
| 2019 | MICRO | Tangram: Integrated Control of Heterogeneous Computers. | Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros G. Voulgaris, Josep Torrellas |
| 2018 | ICCAD | Machine learning for performance and power modeling of heterogeneous systems. | Joseph L. Greathouse, Gabriel H. Loh |
| 2017 | ARITH | Accelerating Matrix Processing with GPUs. | Nicholas Malaya, Shuai Che, Joseph L. Greathouse, Ren van Oostrum, Michael J. Schulte |
| 2017 | CGO | Dynamic buffer overflow detection for GPGPUs. | Christopher Erb, Mike Collins, Joseph L. Greathouse |
| 2017 | HPCA | Dynamic GPGPU Power Management Using Adaptive Model Predictive Control. | Abhinandan Majumdar, Leonardo Piga, Indrani Paul, Joseph L. Greathouse, Wei Huang, David H. Albonesi |
| 2017 | HPCA | 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 R. Meswani, Indrani Paul, Matthew Poremba, Steven Raasch, Steven K. Reinhardt, Greg Sadowski, Vilas Sridharan |
| 2016 | USENIX | 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 |
| 2015 | HiPC | Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices. | Mayank Daga, Joseph L. Greathouse |
| 2015 | HPCA | GPGPU performance and power estimation using machine learning. | Gene Y. Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou |
| 2015 | PPoPP | Adaptive GPU cache bypassing. | Yingying Tian, Sooraj Puthoor, Joseph L. Greathouse, Bradford M. Beckmann, Daniel A. Jimnez |
| 2014 | HPDC | TOP-PIM: throughput-oriented programmable processing in memory. | Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski |
| 2014 | MICRO | 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 |
| 2014 | SC | Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format. | Joseph L. Greathouse, Mayank Daga |
| 2014 | USENIX | Implementing a Leading Loads Performance Predictor on Commodity Processors. | Bo Su, Joseph L. Greathouse, Junli Gu, Michael Boyer, Li Shen, Zhiying Wang |
| 2013 | PLDI | A new perspective on processing-in-memory architecture design. | Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Mitesh R. Meswani, Mark Nutter, Mike Ignatowski |
| 2012 | ASPLOS | A case for unlimited watchpoints. | Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd M. Austin |
| 2012 | ISCA | Viper: Virtual pipelines for enhanced reliability. | Andrea Pellegrini, Joseph L. Greathouse, Valeria Bertacco |
| 2011 | CGO | Highly scalable distributed dataflow analysis. | Joseph L. Greathouse, Chelsea LeBlanc, Todd M. Austin, Valeria Bertacco |
| 2011 | ISCA | Demand-driven software race detection using hardware performance counters. | Joseph L. Greathouse, Zhiqiang Ma, Matthew I. Frank, Ramesh Peri, Todd M. Austin |
| 2011 | PLDI | The potential of sampling for dynamic analysis. | Joseph L. Greathouse, Todd M. Austin |
| 2008 | MICRO | Testudo: Heavyweight security analysis via statistical sampling. | Joseph L. Greathouse, Ilya Wagner, David A. Ramos, Gautam Bhatnagar, Todd M. Austin, Valeria Bertacco, Seth Pettie |