default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid A. Patterson 0001
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation: University of California, Berkeley, Computer Science Division
- award: ACM Distinguished Service Award, 2007
- award (2017): Turing Award
- award (2008): Eckert-Mauchly Award
- award (2000): IEEE John von Neumann Medal
- award (2000): IEEE James H. Mulligan, Jr. Education Medal
- President of the ACM, 2004 to 2006
Other persons with the same name
- David A. Patterson 0002 — University of Montana, Department of Mathematical Sciences, Missoula, MT, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j111]Hemangee K. Kapoor, David A. Patterson:
Increasing Diversity, Equity, and Inclusion Awareness: An Example from India. Commun. ACM 67(4): 35-36 (2024)- [j110]Amin Vahdat, Xiaoyu Ma, David A. Patterson:
New Computer Evaluation Metrics for a Changing World. Commun. ACM 67(10): 31-33 (2024) - [i20]Mariano-Florentino Cuellar, Jeff Dean, Finale Doshi-Velez, John L. Hennessy, Andy Konwinski, Sanmi Koyejo, Pelonomi Moiloa, Emma Pierson, David A. Patterson:
Shaping AI's Impact on Billions of Lives. CoRR abs/2412.02730 (2024) - 2023
- [j109]David A. Patterson:
Faculty Can Save Lives of the Elderly. Commun. ACM 66(4): 38 (2023) - [j108]Matthew D. Sinclair
, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah:
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. IEEE Micro 43(6): 109-124 (2023) - [c132]Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. ISCA 2023: 82:1-82:14 - [i19]Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson:
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. CoRR abs/2304.01433 (2023) - [i18]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 abs/2306.03964 (2023) - 2022
- [j107]Juan E. Gilbert, Stephanie Ludi, David A. Patterson, Lisa M. Smith:
Words matter. Commun. ACM 65(7): 36 (2022) - [j106]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): 30-31 (2022) - [j105]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): 18-28 (2022) - [i17]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 abs/2204.05149 (2022) - [i16]Sarah E. 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 abs/2205.07147 (2022) - 2021
- [j104]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): 76-84 (2021) - [j103]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): 56-63 (2021) - [c131]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: 1-14 - [i15]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 abs/2104.10350 (2021) - 2020
- [j102]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): 67-78 (2020) - [j101]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): 8-16 (2020) - [j100]David A. Patterson, Yakun Sophia Shao:
Commercial Products. IEEE Micro 40(6): 49 (2020) - [j99]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall 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): 369-381 (2020) - [c130]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: 1-70 - [c129]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 - [i14]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 abs/2003.04821 (2020)
2010 – 2019
- 2019
- [j98]John L. Hennessy, David A. Patterson:
A new golden age for computer architecture. Commun. ACM 62(2): 48-60 (2019) - [j97]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): 52-60 (2019) - [c128]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: 277-290 - [i13]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 abs/1902.03383 (2019) - [i12]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 abs/1910.01500 (2019) - 2018
- [j96]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson:
A domain-specific architecture for deep neural networks. Commun. ACM 61(9): 50-59 (2018) - [j95]Jeff Dean, David A. Patterson, Cliff Young:
A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution. IEEE Micro 38(2): 21-29 (2018) - [j94]Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson:
Motivation for and Evaluation of the First Tensor Processing Unit. IEEE Micro 38(3): 10-19 (2018) - [c127]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: 27-31 - [c126]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: 61-62 - 2017
- [j93]Luiz André Barroso, Mike Marty, David A. Patterson, Parthasarathy Ranganathan:
Attack of the killer microseconds. Commun. ACM 60(4): 48-54 (2017) - [j92]David A. Patterson:
Reduced Instruction Set Computers Then and Now. Computer 50(12): 10-12 (2017) - [c125]Scott Beamer, Krste Asanovic, David A. Patterson:
Reducing Pagerank Communication via Propagation Blocking. IPDPS 2017: 820-831 - [c124]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: 1-12 - [i11]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, 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 abs/1704.04760 (2017) - [i10]Aydin Buluç, Scott Beamer, Kamesh Madduri, Krste Asanovic, David A. Patterson:
Distributed-Memory Breadth-First Search on Massive Graphs. CoRR abs/1705.04590 (2017) - [i9]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 abs/1712.05855 (2017) - 2016
- [j91]Christos Kozanitis, David A. Patterson:
GenAp: a distributed SQL interface for genomic data. BMC Bioinform. 17: 63 (2016) - [j90]David A. Patterson:
An interview with Stanford University president John Hennessy. Commun. ACM 59(3): 40-45 (2016) - [j89]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): 8-20 (2016) - [j88]Mark D. Hill, Dave Christie, David A. Patterson, Joshua J. Yi, Derek Chiou, Resit Sendag:
Proprietary versus Open Instruction Sets. IEEE Micro 36(4): 58-68 (2016) - [i8]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 abs/1607.02318 (2016) - 2015
- [j87]Armando Fox, David A. Patterson:
Do-it-yourself textbook publishing. Commun. ACM 58(2): 40-43 (2015) - [j86]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): 1143-1147 (2015) - [c123]Zhangxi Tan, Zhenghao Qian, Xi Chen, Krste Asanovic, David A. Patterson:
DIABLO: A Warehouse-Scale Computer Network Simulator using FPGAs. ASPLOS 2015: 207-221 - [c122]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific computing meets big data technology: An astronomy use case. IEEE BigData 2015: 918-927 - [c121]Armando Fox, David A. Patterson, Samuel Joseph, Paul McCulloch:
MAGIC: Massive Automated Grading in the Cloud. CHANGEE/WAPLA/HybridEd@EC-TEL 2015: 39-50 - [c120]Scott Beamer, Krste Asanovic, David A. Patterson:
Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server. IISWC 2015: 56-65 - [c119]Scott Beamer, Krste Asanovic, David A. Patterson:
GAIL: the graph algorithm iron law. IA3@SC 2015: 13:1-13:4 - [c118]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: 631-646 - [c117]David A. Patterson:
Past and future of hardware and architecture. SOSP History Day 2015: 9:1-9:63 - [i7]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific Computing Meets Big Data Technology: An Astronomy Use Case. CoRR abs/1507.03325 (2015) - [i6]Scott Beamer, Krste Asanovic, David A. Patterson:
The GAP Benchmark Suite. CoRR abs/1508.03619 (2015) - [i5]Babak Falsafi, Tim Harris, Dushyanth Narayanan, David A. Patterson:
Rack-scale Computing (Dagstuhl Seminar 15421). Dagstuhl Reports 5(10): 35-49 (2015) - 2014
- [j85]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): 2787-2795 (2014) - [j84]David A. Patterson:
How to build a bad research center. Commun. ACM 57(3): 33-36 (2014) - [c116]Adam E. Bloniarz, Ameet Talwalkar, Jonathan Terhorst, Michael I. Jordan, David A. Patterson, Bin Yu, Yun S. Song:
Changepoint Analysis for Efficient Variant Calling. RECOMB 2014: 20-34 - 2013
- [j83]Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson:
Using clouds for MapReduce measurement assignments. ACM Trans. Comput. Educ. 13(1): 2:1-2:18 (2013) - [j82]Armando Fox, David A. Patterson:
Is the New Software Engineering Curriculum Agile? IEEE Softw. 30(5): 88 (2013) - [j81]Scott Beamer, Krste Asanovic, David A. Patterson:
Direction-optimizing breadth-first search. Sci. Program. 21(3-4): 137-148 (2013) - [c115]Andrew Waterman, Yunsup Lee, Rimas Avizienis, Henry Cook, David A. Patterson, Krste Asanovic:
The RISC-V instruction set. Hot Chips Symposium 2013: 1 - [c114]Scott Beamer, Aydin Buluç, Krste Asanovic, David A. Patterson:
Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search. IPDPS Workshops 2013: 1618-1627 - [c113]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: 308-319 - [c112]Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
Generalized scale independence through incremental precomputation. SIGMOD Conference 2013: 625-636 - 2012
- [b11]John L. Hennessy, David A. Patterson:
Computer Architecture - A Quantitative Approach, 5th Edition. Morgan Kaufmann 2012, ISBN 978-0-12-383872-8 - [b10]David A. Patterson, John L. Hennessy:
Computer Organization and Design - The Hardware / Software Interface (Revised 4th Edition). The Morgan Kaufmann Series in Computer Architecture and Design, Academic Press 2012, ISBN 978-0-12-374750-1 - [j80]Armando Fox, David A. Patterson:
Crossing the software education chasm. Commun. ACM 55(5): 44-49 (2012) - [j79]David A. Patterson:
For better or worse, benchmarks shape a field: technical perspective. Commun. ACM 55(7): 104 (2012) - [c111]David A. Patterson, Frederick P. Brooks Jr., Ivan E. Sutherland, Charles P. Thacker:
Computer Architecture. ACM-TURING 2012: 11:1 - [c110]Durga M. Kandasamy, Kristal Curtis, Armando Fox, David A. Patterson:
Diversity within the crowd. CSCW (Companion) 2012: 115-118 - [c109]Scott Beamer, Krste Asanovic, David A. Patterson:
Direction-optimizing breadth-first search. SC 2012: 12 - [c108]Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson:
Experiences teaching MapReduce in the cloud. SIGCSE 2012: 601-606 - 2011
- [j78]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): 181-192 (2011) - [c107]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: 163-176 - [c106]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 - [i4]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 abs/1111.5572 (2011) - [i3]Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson:
PIQL: Success-Tolerant Query Processing in the Cloud. CoRR abs/1111.7166 (2011) - 2010
- [j77]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): 50-58 (2010) - [j76]David A. Patterson:
Diverse connections. Commun. ACM 53(12): 5 (2010) - [j75]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): 41-55 (2010) - [c105]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: 131-136 - [c104]Peter Bodík, Armando Fox, Michael J. Franklin, Michael I. Jordan, David A. Patterson:
Characterizing, modeling, and generating workload spikes for stateful services. SoCC 2010: 241-252 - [c103]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: 463-468 - [c102]Archana Ganapathi, Yanpei Chen, Armando Fox, Randy H. Katz, David A. Patterson:
Statistics-driven workload modeling for the Cloud. ICDE Workshops 2010: 87-92 - [c101]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan:
Detecting Large-Scale System Problems by Mining Console Logs. ICML 2010: 37-46 - [c100]Zhangxi Tan, Andrew Waterman, Henry Cook, Sarah Bird, Krste Asanovic, David A. Patterson:
A case for FAME: FPGA architecture model execution. ISCA 2010: 290-301 - [c99]Ariel Rabkin, Wei Xu, Avani Wildani, Armando Fox, David A. Patterson, Randy H. Katz:
A Graphical Representation for Identifier Structure in Logs. SLAML 2010 - [c98]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: 1207-1210 - [c97]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: 26-27 - [c96]David A. Patterson:
Software knows best: portable parallelism requires standardized measurements of transparent hardware. WOSP/SIPEW 2010: 1-2
2000 – 2009
- 2009
- [j74]David A. Patterson:
Viewpoint - Your students are your legacy. Commun. ACM 52(3): 30-33 (2009) - [j73]Samuel Williams, Andrew Waterman, David A. Patterson:
Roofline: an insightful visual performance model for multicore architectures. Commun. ACM 52(4): 65-76 (2009) - [j72]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): 56-67 (2009) - [c95]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 - [c94]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 - [c93]Peter Bodík, Rean Griffith, Charles Sutton, Armando Fox, Michael I. Jordan, David A. Patterson:
Automatic exploration of datacenter performance regimes. ACDC@ICAC 2009: 1-6 - [c92]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: 592-603 - [c91]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan:
Online System Problem Detection by Mining Patterns of Console Logs. ICDM 2009: 588-597 - [c90]Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan:
Detecting large-scale system problems by mining console logs. SOSP 2009: 117-132 - [i2]Michael Armbrust, Armando Fox, David A. Patterson, Nick Lanham, Beth Trushkowsky, Jesse Trutna, Haruki Oh:
SCADS: Scale-Independent Storage for Social Computing Applications. CoRR abs/0909.1775 (2009) - 2008
- [j71]David A. Patterson:
Technical perspective: the data center is the computer.