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John D. McCalpin
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2020 – today
- 2023
- [j6]Abigail C. Dommer, Lorenzo Casalino
, Fiona L. Kearns, Mia Rosenfeld
, Nicholas Wauer, Surl-Hee Ahn
, John Russo
, A. Sofia F. Oliveira
, Clare Morris
, Anthony T. Bogetti, Anda Trifan, Alexander Brace
, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee
, Matteo Turilli
, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao
, Sai K. Sirumalla
, Michael O'Connor, Frederick R. Manby, Anima Anandkumar
, David J. Hardy, James C. Phillips
, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell
, Tom Maiden, Lei Huang, John D. McCalpin
, Christopher J. Woods
, Alan Gray, Matt Williams
, Bryan Barker, Harinda Rajapaksha, Richard Pitts
, Tom Gibbs, John E. Stone
, Daniel M. Zuckerman
, Adrian J. Mulholland
, Thomas F. Miller III, Shantenu Jha
, Arvind Ramanathan
, Lillian T. Chong
, Rommie E. Amaro
:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - [c10]Yinzhi Wang
, John D. McCalpin
, Junjie Li, Matthew Cawood, John Cazes, Hanning Chen, Lars Koesterke, Hang Liu, Chun-Yaung Lu, Robert T. McLay, Kent F. Milfeld, Amit Ruhela, Dave Semeraro, Wenyang Zhang
:
Application Performance Analysis: A Report on the Impact of Memory Bandwidth. ISC Workshops 2023: 339-352 - [c9]John D. McCalpin
:
Bandwidth Limits in the Intel Xeon Max (Sapphire Rapids with HBM) Processors. ISC Workshops 2023: 403-413 - 2022
- [j5]Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li
, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips
, S. Chakra Chennubhotla, Ian T. Foster
, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A. Harris, Arvind Ramanathan
:
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. Int. J. High Perform. Comput. Appl. 36(5-6): 603-623 (2022) - [c8]Miles Dai, Riccardo Paccagnella, Miguel Gomez-Garcia, John D. McCalpin, Mengjia Yan:
Don't Mesh Around: Side-Channel Attacks and Mitigations on Mesh Interconnects. USENIX Security Symposium 2022: 2857-2874 - 2021
- [j4]Lorenzo Casalino
, Abigail C. Dommer, Zied Gaieb, Emília P. Barros
, Terra Sztain, Surl-Hee Ahn
, Anda Trifan, Alexander Brace
, Anthony T. Bogetti, Austin Clyde, Heng Ma, Hyungro Lee, Matteo Turilli
, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy
, Julio D. C. Maia, James C. Phillips
, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone
, Shantenu Jha
, Arvind Ramanathan, Rommie E. Amaro
:
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. Int. J. High Perform. Comput. Appl. 35(5) (2021)
2010 – 2019
- 2019
- [i1]Victor Eijkhout
, Margaret Myers, John D. McCalpin:
Appearances of the Birthday Paradox in High Performance Computing. CoRR abs/1909.12195 (2019) - 2018
- [c7]John D. McCalpin:
HPL and DGEMM performance variability on the Xeon Platinum 8160 processor. SC 2018: 18:1-18:13 - 2015
- [c6]John D. McCalpin:
Trends in system cost and performance balances and implications for the future of HPC. Co-HPC@SC 2015: 2:1 - 2014
- [j3]Ardavan Pedram, John D. McCalpin, Andreas Gerstlauer:
A Highly Efficient Multicore Floating-Point FFT Architecture Based on Hybrid Linear Algebra/FFT Cores. J. Signal Process. Syst. 77(1-2): 169-190 (2014) - 2013
- [c5]Ardavan Pedram, John D. McCalpin, Andreas Gerstlauer:
Transforming a linear algebra core to an FFT accelerator. ASAP 2013: 175-184 - 2011
- [c4]Jeffrey R. Diamond, Martin Burtscher, John D. McCalpin, Byoung-Do Kim, Stephen W. Keckler, James C. Browne:
Evaluation and optimization of multicore performance bottlenecks in supercomputing applications. ISPASS 2011: 32-43 - 2010
- [c3]Martin Burtscher, Byoung-Do Kim, Jeffrey R. Diamond, John D. McCalpin, Lars Koesterke, James C. Browne:
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications. SC 2010: 1-11
2000 – 2009
- 2005
- [j2]Harry M. Mathis, Alex E. Mericas, John D. McCalpin, Richard J. Eickemeyer, Steven R. Kunkel:
Characterization of simultaneous multithreading (SMT) efficiency in POWER5. IBM J. Res. Dev. 49(4-5): 555-564 (2005)
1990 – 1999
- 1997
- [c2]Steve Whitney, John D. McCalpin, Nawaf Bitar, John L. Richardson, Luis Stevens:
The SGI Origin software environment and application performance. COMPCON 1997: 165-170 - 1996
- [j1]John D. McCalpin:
A Case Study of Some Issues in the Optimization of Fortran 90 Array Notation. Sci. Program. 5(3): 219-237 (1996) - 1995
- [c1]John D. McCalpin, Mark Smotherman:
Automatic benchmark generation for cache optimization of matrix operations. ACM Southeast Regional Conference 1995: 195-204
Coauthor Index
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last updated on 2024-08-05 21:11 CEST by the dblp team
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