David A. Patterson

ORCID

Publication Activity (10 Years)

Years Active: 1975-2023
Publications (10 Years): 51

Top Venues

Publications

Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
Fifty Years of ISCA: A data-driven retrospective on key trends. CoRR (2023)
Sarah Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica
The Sky Above The Clouds. CoRR (2022)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR (2022)
Juan E. Gilbert, Stephanie Ludi, David A. Patterson, Lisa M. Smith
Words matter. Commun. ACM 65 (7) (2022)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer 55 (7) (2022)
Luiz André Barroso, Tanzeem Choudhury, Manish Gupta, Oyekunle A. Olukotun, Raluca Ada Popa, Dawn Xiaodong Song, David A. Patterson
Global perspectives of diversity, equity, and inclusion. Commun. ACM 65 (12) (2022)
David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
Carbon Emissions and Large Neural Network Training. CoRR (2021)
Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson
The Design Process for Google's Training Chips: TPUv2 and TPUv3. IEEE Micro 41 (2) (2021)
Norman P. Jouppi, Doe Hyun Yoon, Matthew Ashcraft, Mark Gottscho, Thomas B. Jablin, George Kurian, James Laudon, Sheng Li, Peter C. Ma, Xiaoyu Ma, Thomas Norrie, Nishant Patil, Sushma Prasad, Cliff Young, Zongwei Zhou, David A. Patterson
Ten Lessons From Three Generations Shaped Google's TPUv4i : Industrial Product. ISCA (2021)
Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64 (5) (2021)
Thomas Norrie, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li, James Laudon, Cliff Young, Norman P. Jouppi, David A. Patterson
Google's Training Chips Revealed: TPUv2 and TPUv3. Hot Chips Symposium (2020)
David A. Patterson, Yakun Sophia Shao
Commercial Products. IEEE Micro 40 (6) (2020)
Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav
Benchmarking TinyML Systems: Challenges and Direction. CoRR (2020)
Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 40 (2) (2020)
Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
MLPerf Training Benchmark. MLSys (2020)
Norman P. Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, David A. Patterson
A domain-specific supercomputer for training deep neural networks. Commun. ACM 63 (7) (2020)
Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter
Kira: Processing Astronomy Imagery Using Big Data Technology. IEEE Trans. Big Data 6 (2) (2020)
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
MLPerf Training Benchmark. CoRR (2019)
John L. Hennessy, David A. Patterson
A new golden age for computer architecture. Commun. ACM 62 (2) (2019)
Lisa Wu, David Bruns-Smith, Frank A. Nothaft, Qijing Huang, Sagar Karandikar, Johnny Le, Andrew Lin, Howard Mao, Brendan Sweeney, Krste Asanovic, David A. Patterson, Anthony D. Joseph
FPGA Accelerated INDEL Realignment in the Cloud. HPCA (2019)
Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR (2019)
Christopher Celio, Pi-Feng Chiu, Krste Asanovic, Borivoje Nikolic, David A. Patterson
BROOM: An Open-Source Out-of-Order Processor With Resilient Low-Voltage Operation in 28-nm CMOS. IEEE Micro 39 (2) (2019)
Jeff Dean, David A. Patterson, Cliff Young
A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution. IEEE Micro 38 (2) (2018)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
Motivation for and Evaluation of the First Tensor Processing Unit. IEEE Micro 38 (3) (2018)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson
A domain-specific architecture for deep neural networks. Commun. ACM 61 (9) (2018)
David A. Patterson
50 Years of computer architecture: From the mainframe CPU to the domain-specific tpu and the open RISC-V instruction set. ISSCC (2018)
Pi-Feng Chiu, Christopher Celio, Krste Asanovic, David A. Patterson, Borivoje Nikolic
An Out-of-Order RISC-V Processor with Resilient Low-Voltage Operation in 28NM CMOS. VLSI Circuits (2018)
Luiz André Barroso, Mike Marty, David A. Patterson, Parthasarathy Ranganathan
Attack of the killer microseconds. Commun. ACM 60 (4) (2017)
David A. Patterson
Reduced Instruction Set Computers Then and Now. Computer 50 (12) (2017)
Scott Beamer, Krste Asanovic, David A. Patterson
Reducing Pagerank Communication via Propagation Blocking. IPDPS (2017)
Ion Stoica, Dawn Song, Raluca Ada Popa, David A. Patterson, Michael W. Mahoney, Randy H. Katz, Anthony D. Joseph, Michael I. Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David E. Culler, Pieter Abbeel
A Berkeley View of Systems Challenges for AI. CoRR (2017)
Aydin Buluç, Scott Beamer, Kamesh Madduri, Krste Asanovic, David A. Patterson
Distributed-Memory Breadth-First Search on Massive Graphs. CoRR (2017)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, Richard C. Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon
In-Datacenter Performance Analysis of a Tensor Processing Unit. CoRR (2017)
Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon
In-Datacenter Performance Analysis of a Tensor Processing Unit. ISCA (2017)
Yunsup Lee, Andrew Waterman, Henry Cook, Brian Zimmer, Ben Keller, Alberto Puggelli, Jaehwa Kwak, Ruzica Jevtic, Stevo Bailey, Milovan Blagojevic, Pi-Feng Chiu, Rimas Avizienis, Brian C. Richards, Jonathan Bachrach, David A. Patterson, Elad Alon, Bora Nikolic, Krste Asanovic
An Agile Approach to Building RISC-V Microprocessors. IEEE Micro 36 (2) (2016)
Mark D. Hill, Dave Christie, David A. Patterson, Joshua J. Yi, Derek Chiou, Resit Sendag
Proprietary versus Open Instruction Sets. IEEE Micro 36 (4) (2016)
Christopher Celio, Daniel Palmer Dabbelt, David A. Patterson, Krste Asanovic
The Renewed Case for the Reduced Instruction Set Computer: Avoiding ISA Bloat with Macro-Op Fusion for RISC-V. CoRR (2016)
David A. Patterson
An interview with Stanford University president John Hennessy. Commun. ACM 59 (3) (2016)
Christos Kozanitis, David A. Patterson
GenAp: a distributed SQL interface for genomic data. BMC Bioinform. 17 (2016)
Armando Fox, David A. Patterson
Do-it-yourself textbook publishing. Commun. ACM 58 (2) (2015)
David A. Patterson
Past and future of hardware and architecture. SOSP History Day (2015)
Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter
Scientific computing meets big data technology: An astronomy use case. IEEE BigData (2015)
Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter
Scientific Computing Meets Big Data Technology: An Astronomy Use Case. CoRR (2015)
Scott Beamer, Krste Asanovic, David A. Patterson
The GAP Benchmark Suite. CoRR (2015)
Scott Beamer, Krste Asanovic, David A. Patterson
Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server. IISWC (2015)
Benedict Paten, Mark Diekhans, Brian J. Druker, Stephen H. Friend, Justin Guinney, Nadine Gassner, Mitchell Guttman, W. James Kent, Patrick Mantey, Adam A. Margolin, Matt Massie, Adam M. Novak, Frank A. Nothaft, Lior Pachter, David A. Patterson, Maciej Smuga-Otto, Joshua M. Stuart, Laura J. van't Veer, Barbara J. Wold, David Haussler
The NIH BD2K center for big data in translational genomics. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Babak Falsafi, Tim Harris, Dushyanth Narayanan, David A. Patterson
Rack-scale Computing (Dagstuhl Seminar 15421). Dagstuhl Reports 5 (10) (2015)
Armando Fox, David A. Patterson, Samuel Joseph, Paul McCulloch
MAGIC: Massive Automated Grading in the Cloud. CHANGEE/WAPLA/HybridEd@EC-TEL (2015)
Zhangxi Tan, Zhenghao Qian, Xi Chen, Krste Asanovic, David A. Patterson
DIABLO: A Warehouse-Scale Computer Network Simulator using FPGAs. ASPLOS (2015)
Scott Beamer, Krste Asanovic, David A. Patterson
GAIL: the graph algorithm iron law. IA3@SC (2015)
Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael D. Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson
Rethinking Data-Intensive Science Using Scalable Analytics Systems. SIGMOD Conference (2015)
Ameet Talwalkar, Jesse Liptrap, Julie Newcomb, Christopher Hartl, Jonathan Terhorst, Kristal Curtis, Ma'ayan Bresler, Yun S. Song, Michael I. Jordan, David A. Patterson
SMaSH: a benchmarking toolkit for human genome variant calling. Bioinform. 30 (19) (2014)
Adam Bloniarz, Ameet Talwalkar, Jonathan Terhorst, Michael I. Jordan, David A. Patterson, Bin Yu, Yun S. Song
Changepoint Analysis for Efficient Variant Calling. RECOMB (2014)
David A. Patterson
How to build a bad research center. Commun. ACM 57 (3) (2014)
Andrew Waterman, Yunsup Lee, Rimas Avizienis, Henry Cook, David A. Patterson, Krste Asanovic
The RISC-V instruction set. Hot Chips Symposium (2013)
Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
Generalized scale independence through incremental precomputation. SIGMOD Conference (2013)
Scott Beamer, Aydin Buluç, Krste Asanovic, David A. Patterson
Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search. IPDPS Workshops (2013)
Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson
Using clouds for MapReduce measurement assignments. ACM Trans. Comput. Educ. 13 (1) (2013)
Henry Cook, Miquel Moretó, Sarah Bird, Khanh Dao, David A. Patterson, Krste Asanovic
A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness. ISCA (2013)
Scott Beamer, Krste Asanovic, David A. Patterson
Direction-optimizing breadth-first search. Sci. Program. 21 (3-4) (2013)
Armando Fox, David A. Patterson
Is the New Software Engineering Curriculum Agile? IEEE Softw. 30 (5) (2013)
Armando Fox, David A. Patterson
Crossing the software education chasm. Commun. ACM 55 (5) (2012)
David A. Patterson
For better or worse, benchmarks shape a field: technical perspective. Commun. ACM 55 (7) (2012)
Durga M. Kandasamy, Kristal Curtis, Armando Fox, David A. Patterson
Diversity within the crowd. CSCW (Companion) (2012)
David A. Patterson, Frederick P. Brooks Jr., Ivan E. Sutherland, Charles P. Thacker
Computer Architecture. ACM-TURING (2012)
Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson
Experiences teaching MapReduce in the cloud. SIGCSE (2012)
Scott Beamer, Krste Asanovic, David A. Patterson
Direction-optimizing breadth-first search. SC (2012)
Matei Zaharia, William J. Bolosky, Kristal Curtis, Armando Fox, David A. Patterson, Scott Shenker, Ion Stoica, Richard M. Karp, Taylor Sittler
Faster and More Accurate Sequence Alignment with SNAP CoRR (2011)
Beth Trushkowsky, Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson
The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements. FAST (2011)
Henry Cook, Ekaterina Gonina, Shoaib Kamil, Gerald Friedland, David A. Patterson, Armando Fox
CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications. HotPar (2011)
Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
PIQL: Success-Tolerant Query Processing in the Cloud CoRR (2011)
Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
PIQL: Success-Tolerant Query Processing in the Cloud. Proc. VLDB Endow. 5 (3) (2011)
Michael Armbrust, Nick Lanham, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson
The case for PIQL: a performance insightful query language. SoCC (2010)
Bryan Catanzaro, Armando Fox, Kurt Keutzer, David A. Patterson, Bor-Yiing Su, Marc Snir, Kunle Olukotun, Pat Hanrahan, Hassan Chafi
Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford. IEEE Micro 30 (2) (2010)
Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson
Characterizing, modeling, and generating workload spikes for stateful services. SoCC (2010)
Archana Ganapathi, Yanpei Chen, Armando Fox, Randy H. Katz, David A. Patterson
Statistics-driven workload modeling for the Cloud. ICDE Workshops (2010)
Zhangxi Tan, Andrew Waterman, Henry Cook, Sarah Bird, Krste Asanovic, David A. Patterson
A case for FAME: FPGA architecture model execution. ISCA (2010)
Michael Armbrust, Stephen Tu, Armando Fox, Michael J. Franklin, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna
PIQL: a performance insightful query language. SIGMOD Conference (2010)
Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Detecting Large-Scale System Problems by Mining Console Logs. ICML (2010)
David A. Patterson
The Parallel Revolution Has Started: Are You Part of the Solution or Part of the Problem? - An Overview of Research at the Berkeley Parallel Computing Laboratory. VECPAR (2010)
Zhangxi Tan, Andrew Waterman, Rimas Avizienis, Yunsup Lee, Henry Cook, David A. Patterson, Krste Asanovic
RAMP gold: an FPGA-based architecture simulator for multiprocessors. DAC (2010)
Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy H. Katz, Andy Konwinski, Gunho Lee, David A. Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia
A view of cloud computing. Commun. ACM 53 (4) (2010)
David A. Patterson
Diverse connections. Commun. ACM 53 (12) (2010)
David A. Patterson
Software knows best: portable parallelism requires standardized measurements of transparent hardware. WOSP/SIPEW (2010)
Ariel Rabkin, Wei Xu, Avani Wildani, Armando Fox, David A. Patterson, Randy H. Katz
A Graphical Representation for Identifier Structure in Logs. SLAML (2010)
Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Online System Problem Detection by Mining Patterns of Console Logs. ICDM (2009)
Peter Bodík, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson
Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. HotCloud (2009)
Krste Asanovic, Rastislav Bodík, James Demmel, Tony M. Keaveny, Kurt Keutzer, John Kubiatowicz, Nelson Morgan, David A. Patterson, Koushik Sen, John Wawrzynek, David Wessel, Katherine A. Yelick
A view of the parallel computing landscape. Commun. ACM 52 (10) (2009)
Peter Bodík, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson
Automatic exploration of datacenter performance regimes. ACDC@ICAC (2009)
Michael Armbrust, Armando Fox, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna, Haruki Oh
SCADS: Scale-Independent Storage for Social Computing Applications CoRR (2009)
Michael Armbrust, Armando Fox, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna, Haruki Oh
SCADS: Scale-Independent Storage for Social Computing Applications. CIDR (2009)
Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Detecting large-scale system problems by mining console logs. SOSP (2009)
Samuel Williams, Andrew Waterman, David A. Patterson
Roofline: an insightful visual performance model for multicore architectures. Commun. ACM 52 (4) (2009)
David A. Patterson
Viewpoint - Your students are your legacy. Commun. ACM 52 (3) (2009)
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal, Janet L. Wiener, Armando Fox, Michael I. Jordan, David A. Patterson
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning. ICDE (2009)
David A. Patterson
Technical perspective: the data center is the computer. Commun. ACM 51 (1) (2008)
Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Mining Console Logs for Large-Scale System Problem Detection. SysML (2008)
Jeannie R. Albrecht, David L. Oppenheimer, Amin Vahdat, David A. Patterson
Design and implementation trade-offs for wide-area resource discovery. ACM Trans. Internet Techn. 8 (4) (2008)
Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David A. Patterson, John Shalf, Katherine A. Yelick
Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures. SC (2008)
Joe Gebis, David A. Patterson
Embracing and Extending 20th-Century Instruction Set Architectures. Computer 40 (4) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

David A. Patterson