Joseph L. Greathouse

According to our database, Joseph L. Greathouse authored at least 29 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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 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

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2019

Tangram: Integrated Control of Heterogeneous Computers.

Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros G. Voulgaris, Josep Torrellas

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

clARMOR: A Dynamic Buffer Overflow Detector for OpenCL Kernels.

Christopher Erb, Joseph L. Greathouse

Proceedings of the International Workshop on OpenCL, 2018

Interference from GPU System Service Requests.

Arkaprava Basu, Joseph L. Greathouse, Guru Venkataramani, Ján Veselý

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

Machine learning for performance and power modeling of heterogeneous systems.

Joseph L. Greathouse, Gabriel H. Loh

Proceedings of the International Conference on Computer-Aided Design, 2018

2017

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

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Dynamic GPGPU Power Management Using Adaptive Model Predictive Control.

Abhinandan Majumdar, Leonardo Piga, Indrani Paul, Joseph L. Greathouse, Wei Huang, David H. Albonesi

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Dynamic buffer overflow detection for GPGPUs.

Christopher Erb, Mike Collins, Joseph L. Greathouse

Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

Accelerating Matrix Processing with GPUs.

Nicholas Malaya, Shuai Che, Joseph L. Greathouse, René van Oostrum, Michael J. Schulte

Proceedings of the 24th IEEE Symposium on Computer Arithmetic, 2017

DVFS Space Exploration in Power Constrained Processing-in-Memory Systems.

Marko Scrbak, Joseph L. Greathouse, Nuwan Jayasena, Krishna M. Kavi

Proceedings of the Architecture of Computing Systems - ARCS 2017, 2017

2016

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

Proceedings of the 2016 USENIX Annual Technical Conference, 2016

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library.

Joseph L. Greathouse, Kent Knox, Jakub Pola, Kiran Varaganti, Mayank Daga

Proceedings of the 4th International Workshop on OpenCL, 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

Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

2015

Adaptive GPU cache bypassing.

Yingying Tian, Sooraj Puthoor, Joseph L. Greathouse, Bradford M. Beckmann, Daniel A. Jiménez

Proceedings of the 8th Workshop on General Purpose Processing using GPUs, 2015

A Taxonomy of GPGPU Performance Scaling.

Abhinandan Majumdar, Gene Y. Wu, Kapil Dev, Joseph L. Greathouse, Indrani Paul, Wei Huang, Arjun-Karthik Venugopal, Leonardo Piga, Chip Freitag, Sooraj Puthoor

Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

GPGPU performance and power estimation using machine learning.

Gene Y. Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou

Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices.

Mayank Daga, Joseph L. Greathouse

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

2014

Implementing a Leading Loads Performance Predictor on Commodity Processors.

Bo Su, Joseph L. Greathouse, Junli Gu, Michael Boyer, Li Shen, Zhiying Wang

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format.

Joseph L. Greathouse, Mayank Daga

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

TOP-PIM: throughput-oriented programmable processing in memory.

Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

2013

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

Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness, 2013

2012

Hardware Mechanisms for Distributed Dynamic Software Analysis.

Joseph L. Greathouse

PhD thesis, 2012

Viper: Virtual pipelines for enhanced reliability.

Andrea Pellegrini, Joseph L. Greathouse, Valeria Bertacco

Proceedings of the 39th International Symposium on Computer Architecture (ISCA 2012), 2012

A case for unlimited watchpoints.

Joseph L. Greathouse, Hongyi Xin, Yixin Luo, Todd M. Austin

Proceedings of the 17th International Conference on Architectural Support for Programming Languages and Operating Systems, 2012

2011

The potential of sampling for dynamic analysis.

Joseph L. Greathouse, Todd M. Austin

Proceedings of the 2011 Workshop on Programming Languages and Analysis for Security, 2011

Demand-driven software race detection using hardware performance counters.

Joseph L. Greathouse, Zhiqiang Ma, Matthew I. Frank, Ramesh Peri, Todd M. Austin

Proceedings of the 38th International Symposium on Computer Architecture (ISCA 2011), 2011

Highly scalable distributed dataflow analysis.

Joseph L. Greathouse, Chelsea LeBlanc, Todd M. Austin, Valeria Bertacco

Proceedings of the CGO 2011, 2011

2008

Testudo: Heavyweight security analysis via statistical sampling.

Joseph L. Greathouse, Ilya Wagner, David A. Ramos, Gautam Bhatnagar, Todd M. Austin, Valeria Bertacco, Seth Pettie

Proceedings of the 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-41 2008), 2008