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ORCIDJoseph L. Greathouse
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2020 – today
- 2024
[c29]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:
Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product. ISCA 2024: 876-889- 2023
- [c28]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:
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14
2010 – 2019
- 2019
- [c27]Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros G. Voulgaris, Josep Torrellas:
Tangram: Integrated Control of Heterogeneous Computers. MICRO 2019: 384-398 - 2018
- [c26]Joseph L. Greathouse, Gabriel H. Loh:
Machine learning for performance and power modeling of heterogeneous systems. ICCAD 2018: 47 - [c25]Arkaprava Basu, Joseph L. Greathouse, Guru Venkataramani, Ján Veselý:
Interference from GPU System Service Requests. IISWC 2018: 179-190 - [c24]Christopher Erb, Joseph L. Greathouse:
clARMOR: A Dynamic Buffer Overflow Detector for OpenCL Kernels. IWOCL 2018: 15:1-15:2 - 2017
- [c23]Marko Scrbak, Joseph L. Greathouse, Nuwan Jayasena, Krishna M. Kavi:
DVFS Space Exploration in Power Constrained Processing-in-Memory Systems. ARCS 2017: 221-233 - [c22]Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte:
Accelerating Matrix Processing with GPUs. ARITH 2017: 139-141 - [c21]Christopher Erb, Mike Collins, Joseph L. Greathouse:
Dynamic buffer overflow detection for GPGPUs. CGO 2017: 61-73 - [c20]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:
Design and Analysis of an APU for Exascale Computing. HPCA 2017: 85-96 - [c19]Abhinandan Majumdar, Leonardo Piga, Indrani Paul, Joseph L. Greathouse, Wei Huang, David H. Albonesi:
Dynamic GPGPU Power Management Using Adaptive Model Predictive Control. HPCA 2017: 613-624 - 2016
- [c18]Vignesh Adhinarayanan, Indrani Paul, Joseph L. Greathouse, Wei Huang, Ashutosh Pattnaik, Wu-chun Feng:
Measuring and modeling on-chip interconnect power on real hardware. IISWC 2016: 23-33 - [c17]Joseph L. Greathouse, Kent Knox, Jakub Pola, Kiran Varaganti, Mayank Daga:
clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library. IWOCL 2016: 7:1-7:4 - [c16]Alex D. Breslow, Dong Ping Zhang, Joseph L. Greathouse, Nuwan Jayasena, Dean M. Tullsen:
Horton Tables: Fast Hash Tables for In-Memory Data-Intensive Computing. USENIX ATC 2016: 281-294 - 2015
- [c15]Mayank Daga, Joseph L. Greathouse:
Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices. HiPC 2015: 64-74 - [c14]Gene Y. Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou:
GPGPU performance and power estimation using machine learning. HPCA 2015: 564-576 - [c13]Abhinandan Majumdar, Gene Y. Wu, Kapil Dev, Joseph L. Greathouse, Indrani Paul, Wei Huang, Arjun-Karthik Venugopal, Leonardo Piga, Chip Freitag, Sooraj Puthoor:
A Taxonomy of GPGPU Performance Scaling. IISWC 2015: 118-119 - [c12]Yingying Tian, Sooraj Puthoor, Joseph L. Greathouse, Bradford M. Beckmann, Daniel A. Jiménez:
Adaptive GPU cache bypassing. GPGPU@PPoPP 2015: 25-35 - 2014
- [c11]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 - [c10]Bo Su, Junli Gu, Li Shen, Wei Huang, Joseph L. Greathouse, Zhiying Wang:
PPEP: Online Performance, Power, and Energy Prediction Framework and DVFS Space Exploration. MICRO 2014: 445-457 - [c9]Joseph L. Greathouse, Mayank Daga:
Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format. SC 2014: 769-780 - [c8]Bo Su, Joseph L. Greathouse, Junli Gu, Michael Boyer, Li Shen, Zhiying Wang:
Implementing a Leading Loads Performance Predictor on Commodity Processors. USENIX ATC 2014: 205-210 - 2013
- [c7]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 - 2012
- [b1]Joseph L. Greathouse:
Hardware Mechanisms for Distributed Dynamic Software Analysis. University of Michigan, USA, 2012 - [c6]Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd M. Austin:
A case for unlimited watchpoints. ASPLOS 2012: 159-172 - [c5]Andrea Pellegrini, Joseph L. Greathouse, Valeria Bertacco:
Viper: Virtual pipelines for enhanced reliability. ISCA 2012: 344-355 - 2011
- [c4]Joseph L. Greathouse, Chelsea LeBlanc, Todd M. Austin, Valeria Bertacco:
Highly scalable distributed dataflow analysis. CGO 2011: 277-288 - [c3]Joseph L. Greathouse, Zhiqiang Ma, Matthew I. Frank, Ramesh Peri, Todd M. Austin:
Demand-driven software race detection using hardware performance counters. ISCA 2011: 165-176 - [c2]Joseph L. Greathouse, Todd M. Austin:
The potential of sampling for dynamic analysis. PLAS 2011: 3
2000 – 2009
- 2008
- [c1]Joseph L. Greathouse, Ilya Wagner, David A. Ramos, Gautam Bhatnagar, Todd M. Austin, Valeria Bertacco, Seth Pettie:
Testudo: Heavyweight security analysis via statistical sampling. MICRO 2008: 117-128
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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