default search action
John A. Gunnels
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [c40]Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi:
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. QCE 2023: 1050-1061 - [i2]Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao
, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi:
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. CoRR abs/2308.01999 (2023)
2010 – 2019
- 2019
- [c39]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - 2017
- [j23]Erik W. Draeger, Xavier Andrade
Massively parallel first-principles simulation of electron dynamics in materials. J. Parallel Distributed Comput. 106: 205-214 (2017) - [j22]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. IEEE Trans. Parallel Distributed Syst. 28(6): 1703-1714 (2017) - [c38]Mustafa Canim, Cristina Cornelio, Robert Farrell, Achille Fokoue, Kyle Yingkai Gao, John A. Gunnels, Arun Iyengar, Ryan Musa, Mariano Rodriguez-Muro, Rosario Uceda-Sosa:
A knowledge and reasoning toolkit for cognitive applications. HotWeb 2017: 13:1-13:10 - 2016
- [j21]Field G. Van Zee, Tyler M. Smith, Bryan Marker, Tze Meng Low
The BLIS Framework: Experiments in Portability. ACM Trans. Math. Softw. 42(2): 12:1-12:19 (2016) - [c37]Xing Liu, Daniele Buono, Fabio Checconi, Jee W. Choi, Xinyu Que, Fabrizio Petrini, John A. Gunnels, Jeff Stuecheli:
An Early Performance Study of Large-Scale POWER8 SMP Systems. IPDPS 2016: 263-272 - [c36]Erik W. Draeger, Xavier Andrade, John A. Gunnels, Abhinav Bhatele, Andre Schleife, Alfredo A. Correa:
Massively Parallel First-Principles Simulation of Electron Dynamics in Materials. IPDPS 2016: 832-841 - 2015
- [j20]Daniele Buono, John A. Gunnels, Xinyu Que, Fabio Checconi, Fabrizio Petrini, Tai-Ching Tuan, Chris Long:
Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics. Computer 48(8): 26-34 (2015) - [j19]Ravi Nair, Samuel Antão, Carlo Bertolli, Pradip Bose, José R. Brunheroto, Tong Chen, Chen-Yong Cher, Carlos H. A. Costa, J. Doi, Constantinos Evangelinos, Bruce M. Fleischer, Thomas W. Fox, Diego S. Gallo, Leopold Grinberg, John A. Gunnels, Arpith C. Jacob, P. Jacob, Hans M. Jacobson, Tejas Karkhanis, C. Kim, Jaime H. Moreno, John K. O'Brien, Martin Ohmacht
Active Memory Cube: A processing-in-memory architecture for exascale systems. IBM J. Res. Dev. 59(2/3) (2015) - [c35]Xinyu Que, Fabio Checconi, Fabrizio Petrini, John A. Gunnels:
Scalable Community Detection with the Louvain Algorithm. IPDPS 2015: 28-37 - [c34]Amanda Randles
Massively parallel models of the human circulatory system. SC 2015: 1:1-1:11 - 2014
- [c33]Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari:
Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH 2014: 1048-1052 - [c32]I-Hsin Chung, Tara N. Sainath, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Vernon Austel, Upendra V. Chaudhari, Brian Kingsbury:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. SC 2014: 745-753 - 2013
- [j18]Paolo Bientinesi, John A. Gunnels, Margaret E. Myers
Deriving dense linear algebra libraries. Formal Aspects Comput. 25(6): 933-945 (2013) - [j17]Krishnan Sugavanam, Chen-Yong Cher, John A. Gunnels, Ruud A. Haring, Philip Heidelberger, Hans M. Jacobson, Moyra K. McManus, D. P. Paulsen, David L. Satterfield, Yutaka Sugawara, Robert Walkup:
Design for low power and power management in IBM Blue Gene/Q. IBM J. Res. Dev. 57(1/2): 3 (2013) - [j16]Brian Carnes, Bor Chan, Erik W. Draeger, Jean-Luc Fattebert
Science at LLNL with IBM Blue Gene/Q. IBM J. Res. Dev. 57(1/2): 11 (2013) - [j15]Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante:
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57(3/4): 2 (2013) - [j14]Tareq M. Malas, Aron J. Ahmadia, Jed Brown
Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor. Int. J. High Perform. Comput. Appl. 27(2): 193-209 (2013) - 2012
- [c31]Arthur A. Mirin, David F. Richards, James N. Glosli, Erik W. Draeger, Bor Chan, Jean-Luc Fattebert
Toward real-time modeling of human heart ventricles at cellular resolution: simulation of drug-induced arrhythmias. SC 2012: 2 - [i1]Tareq M. Malas, Aron J. Ahmadia, Jed Brown, John A. Gunnels, David E. Keyes
Optimizing the Performance of Streaming Numerical Kernels on the IBM Blue Gene/P PowerPC 450 Processor. CoRR abs/1201.3496 (2012) - 2011
- [r2]Amol Ghoting, John A. Gunnels, Mark S. Squillante:
Massive-Scale Analytics. Encyclopedia of Parallel Computing 2011: 1089-1095 - [r1]John A. Gunnels:
PLAPACK. Encyclopedia of Parallel Computing 2011: 1563-1568 - 2010
- [j13]Sameer Kumar, Ahmad Faraj, Amith R. Mamidala, Brian E. Smith, Gábor Dózsa, Bob Cernohous, John A. Gunnels, Douglas Miller, Joseph Ratterman, Philip Heidelberger:
Architecture of the Component Collective Messaging Interface. Int. J. High Perform. Comput. Appl. 24(1): 16-33 (2010) - [j12]John A. Gunnels, Jon Lee
Efficient high-precision matrix algebra on parallel architectures for nonlinear combinatorial optimization. Math. Program. Comput. 2(2): 103-124 (2010)
2000 – 2009
- 2009
- [j11]Michael Kistler, John A. Gunnels, Daniel A. Brokenshire, Brad Benton:
Programming the Linpack benchmark for Roadrunner. IBM J. Res. Dev. 53(5): 9 (2009) - [j10]Michael Kistler, John A. Gunnels, Daniel A. Brokenshire, Brad Benton:
Programming the Linpack benchmark for the IBM PowerXCell 8i processor. Sci. Program. 17(1-2): 43-57 (2009) - [c30]Ahmad Faraj, Sameer Kumar, Brian E. Smith, Amith R. Mamidala, John A. Gunnels:
MPI Collective Communications on The Blue Gene/P Supercomputer: Algorithms and Optimizations. Hot Interconnects 2009: 63-72 - [c29]Ahmad Faraj, Sameer Kumar, Brian E. Smith, Amith R. Mamidala, John A. Gunnels, Philip Heidelberger:
MPI collective communications on the blue gene/p supercomputer: algorithms and optimizations. ICS 2009: 489-490 - [c28]Michael Kistler, John A. Gunnels, Daniel A. Brokenshire, Brad Benton:
Petascale computing with accelerators. PPoPP 2009: 241-250 - [c27]David F. Richards, James N. Glosli, Bor Chan, Milo R. Dorr, Erik W. Draeger, Jean-Luc Fattebert
Beyond homogeneous decomposition: scaling long-range forces on Massively Parallel Systems. SC 2009 - 2008
- [j9]Eric J. Bohm, Abhinav Bhatele, Laxmikant V. Kalé, Mark E. Tuckerman, Sameer Kumar, John A. Gunnels, Glenn J. Martyna:
Fine-grained parallelization of the Car - Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer. IBM J. Res. Dev. 52(1-2): 159-176 (2008) - [j8]Bronis R. de Supinski, Martin Schulz
BlueGene/L applications: Parallelism On a Massive Scale. Int. J. High Perform. Comput. Appl. 22(1): 33-51 (2008) - [c26]Vaibhav Saxena, Prashant Agrawal, Yogish Sabharwal, Vijay K. Garg, Vimitha A. Kuruvilla, John A. Gunnels:
Optimization of BLAS on the Cell Processor. HiPC 2008: 18-29 - [c25]Yogish Sabharwal, Saurabh Kumar Garg
Optimization of Fast Fourier Transforms on the Blue Gene/L Supercomputer. HiPC 2008: 309-322 - 2007
- [c24]James N. Glosli, David F. Richards, K. J. Caspersen, R. E. Rudd, John A. Gunnels, Frederick H. Streitz
Extending stability beyond CPU millennium: a micron-scale atomistic simulation of Kelvin-Helmholtz instability. SC 2007: 58 - [c23]Kamen Yotov, Thomas Roeder, Keshav Pingali, John A. Gunnels, Fred G. Gustavson:
An experimental comparison of cache-oblivious and cache-conscious programs. SPAA 2007: 93-104 - 2006
- [c22]Fred G. Gustavson, John A. Gunnels, James C. Sexton:
Minimal Data Copy for Dense Linear Algebra Factorization. PARA 2006: 540-549 - [c21]John A. Gunnels, Fred G. Gustavson, Keshav Pingali, Kamen Yotov:
Is Cache-Oblivious DGEMM Viable? PARA 2006: 919-928 - [c20]François Gygi, Erik W. Draeger, Martin Schulz
Gordon Bell finalists I - Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform. SC 2006: 45 - [c19]Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda:
Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. SC 2006: 46 - [p1]George S. Almási, Gyan Bhanot, Siddhartha Chatterjee, Alan Gara, John A. Gunnels, Manish Gupta, Amy Henning, José E. Moreira, James C. Sexton, Bob Walkup, Alessandro Curioni, Charles Archer, Leonardo R. Bachega, Bor Chan, Bruce Curtis, Sharon Brunett, Giri Chukkapalli, Robert Harkness, Wayne Pfeiffer:
Achieving High Performance on the BlueGene/L Supercomputer. Parallel Processing for Scientific Computing 2006: 59-75 - 2005
- [j7]Siddhartha Chatterjee, Leonardo R. Bachega, Peter Bergner, Kenneth A. Dockser, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Christopher A. Lapkowski, Gary K. Liu, Mark P. Mendell, Rohini D. Nair, Charles D. Wait, T. J. Christopher Ward, Peng Wu:
Design and exploitation of a high-performance SIMD floating-point unit for Blue Gene/L. IBM J. Res. Dev. 49(2-3): 377-392 (2005) - [j6]George Almási, Charles Archer, José G. Castaños, John A. Gunnels, C. Christopher Erway, Philip Heidelberger, Xavier Martorell, José E. Moreira, Kurt W. Pinnow, Joe Ratterman, Burkhard D. Steinmacher-Burow, William Gropp, Brian R. Toonen:
Design and implementation of message-passing services for the Blue Gene/L supercomputer. IBM J. Res. Dev. 49(2-3): 393-406 (2005) - [j5]Xavier Martorell, Nils Smeds, Robert Walkup, José R. Brunheroto, George Almási, John A. Gunnels, Luiz De Rose, Jesús Labarta, Francesc Escalé, Judit Giménez, Harald Servat, José E. Moreira:
Blue Gene/L performance tools. IBM J. Res. Dev. 49(2-3): 407-424 (2005) - [j4]Paolo Bientinesi, John A. Gunnels, Margaret E. Myers
The science of deriving dense linear algebra algorithms. ACM Trans. Math. Softw. 31(1): 1-26 (2005) - [j3]Bjarne Stig Andersen, John A. Gunnels, Fred G. Gustavson, John K. Reid, Jerzy Wasniewski:
A fully portable high performance minimal storage hybrid format cholesky algorithm. ACM Trans. Math. Softw. 31(2): 201-227 (2005) - [c18]George Almási, Gyan Bhanot, Dong Chen, Maria Eleftheriou, Blake G. Fitch, Alan Gara, Robert S. Germain, John A. Gunnels, Manish Gupta, Philip Heidelberger, Michael Pitman, Aleksandr Rayshubskiy, James C. Sexton, Frank Suits
Early Experience with Scientific Applications on the Blue Gene/L Supercomputer. Euro-Par 2005: 560-570 - [c17]François Gygi, Robert K. Yates, Juergen Lorenz, Erik W. Draeger, Franz Franchetti, Christoph W. Ueberhuber, Bronis R. de Supinski, Stefan Kral, John A. Gunnels, James C. Sexton:
Large-Scale First-Principles Molecular Dynamics simulations on the BlueGene/L Platform using the Qbox code. SC 2005: 24 - 2004
- [c16]Leonardo R. Bachega, Siddhartha Chatterjee, Kenneth A. Dockser, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Christopher A. Lapkowski, Gary K. Liu, Mark P. Mendell, Charles D. Wait, T. J. Christopher Ward:
A High-Performance SIMD Floating Point Unit for BlueGene/L: Architecture, Compilation, and Algorithm Design. IEEE PACT 2004: 85-96 - [c15]John A. Gunnels, Fred G. Gustavson:
A New Array Format for Symmetric and Triangular Matrices. PARA 2004: 247-255 - [c14]John A. Gunnels, Fred G. Gustavson, Greg Henry, Robert A. van de Geijn:
A Family of High-Performance Matrix Multiplication Algorithms. PARA 2004: 256-265 - [c13]Paolo Bientinesi, John A. Gunnels, Fred G. Gustavson, Greg Henry, Margaret E. Myers, Enrique S. Quintana-Ortí
Rapid Development of High-Performance Linear Algebra Libraries. PARA 2004: 376-384 - [c12]George Almási, Charles Archer, John A. Gunnels, Philip Heidelberger, Xavier Martorell, José E. Moreira:
Architecture and Performance of the BlueGene/L Message Layer. PVM/MPI 2004: 405-414 - [c11]George Almási, Siddhartha Chatterjee, Alan Gara, John A. Gunnels, Manish Gupta, Amy Henning, José E. Moreira, Robert Walkup:
Unlocking the Performance of the BlueGene/L Supercomputer. SC 2004: 57 - 2002
- [c10]Bjarne Stig Andersen, John A. Gunnels, Fred G. Gustavson, Jerzy Wasniewski:
A Recursive Formulation of the Inversion of Symmetric Positive Definite Matrices in Packed Storage Data Format. PARA 2002: 287-296 - [c9]Narasimha R. Adiga, George Almási, George S. Almási, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, José R. Brunheroto, Calin Cascaval, José G. Castaños, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar
An overview of the BlueGene/L Supercomputer. SC 2002: 7:1-7:22 - 2001
- [j2]John A. Gunnels, Fred G. Gustavson, Greg Henry, Robert A. van de Geijn
FLAME: Formal Linear Algebra Methods Environment. ACM Trans. Math. Softw. 27(4): 422-455 (2001) - [c8]John A. Gunnels, Robert A. van de Geijn, Daniel S. Katz
Fault-Tolerant High-Performance Matrix Multiplication: Theory and Practice. DSN 2001: 47-56 - [c7]John A. Gunnels, Greg Henry, Robert A. van de Geijn:
A Family of High-Performance Matrix Multiplication Algorithms. International Conference on Computational Science (1) 2001: 51-60 - 2000
- [c6]John A. Gunnels, Robert A. van de Geijn:
Formal Methods for High-Performance Linear Algebra Libraries. The Architecture of Scientific Software 2000: 193-210
1990 – 1999
- 1998
- [c5]Gregory S. Baker, John A. Gunnels, Greg Morrow, Beatrice Riviere, Robert A. van de Geijn
PLAPACK: High Performance through High-Level Abstraction. ICPP 1998: 414-423 - [c4]John A. Gunnels, Calvin Lin, Greg Morrow, Robert A. van de Geijn
A Flexible Class of Parallel Matrix Multiplication Algorithms. IPPS/SPDP 1998: 110-116 - 1997
- [j1]Almadena Yu. Chtchelkanova, John A. Gunnels, Greg Morrow, James Overfelt, Robert A. van de Geijn:
Parallel implementation of BLAS: general techniques for Level 3 BLAS. Concurr. Pract. Exp. 9(9): 837-857 (1997) - [c3]Phillip Alpatov, Gregory S. Baker, H. Carter Edwards, John A. Gunnels, Greg Morrow, James Overfelt, Robert A. van de Geijn, Yuan-Jye J. Wu:
PLAPACK: Parallel Linear Algebra Package. PP 1997 - [c2]Phillip Alpatov, Gregory S. Baker, H. Carter Edwards, John A. Gunnels, Greg Morrow, James Overfelt, Robert A. van de Geijn:
PLAPACK Parallel Linear Algebra Package Design Overview. SC 1997: 29 - 1994
- [c1]John A. Gunnels, Paul Cull, James L. Holloway:
Genetic Algorithms and Simulated Annealing for Gene Mapping. International Conference on Evolutionary Computation 1994: 385-390
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: