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ORCIDKarl W. Schulz
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2020 – today
- 2025
[j4]Massimiliano Lupo Pasini
, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jordà Polo, Prasanna Balaprakash:
Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN. J. Supercomput. 81(4): 618 (2025)- [i3]Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang, Kshitij Mehta, Rylie Weaver, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash:
Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data. CoRR abs/2506.21788 (2025) - 2024
- [i2]Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash:
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR abs/2406.12909 (2024) - 2023
- [i1]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [c17]Hochan Lee, William Ruys, Ian Henriksen, Arthur Peters, Yineng Yan, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Karl W. Schulz, Keshav Pingali, Christopher J. Rossbach, Mattan Erez, George Biros:
Parla: A Python Orchestration System for Heterogeneous Architectures. SC 2022: 51:1-51:15 - 2021
- [c16]Justin A. Drake, Karl W. Schulz, Radek Bukowski, Kelly P. Gaither:
Collecting and analyzing smartphone sensor data for health. PEARC 2021: 24:1-24:4 - 2020
- [c15]Christopher S. Simmons, Karl W. Schulz, Derek Simmel:
Customizing OpenHPC: integrating additional software and provisioning new services including open ondemand. PEARC Companion 2020: 2:1 - [c14]Zachary S. Tschirhart, Karl W. Schulz:
Evaluation of Clustering Techniques for GPS Phenotyping Using Mobile Sensor Data. PEARC 2020: 364-371
2010 – 2019
- 2015
- [e1]Dhabaleswar K. Panda, Karl W. Schulz, Khaled Hamidouche, Hari Subramoni:
Proceedings of the First International Workshop on Extreme Scale Programming Models and Middleware, ESPM 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-3996-4 [contents] - 2014
- [c13]Hari Subramoni, Krishna Chaitanya Kandalla, Jithin Jose, Karen Tomko, Karl W. Schulz, Dmitry Pekurovsky, Dhabaleswar K. Panda:
Designing Topology-Aware Communication Schedules for Alltoall Operations in Large InfiniBand Clusters. ICPP 2014: 231-240 - [c12]Jithin Jose, Sreeram Potluri, Hari Subramoni, Xiaoyi Lu, Khaled Hamidouche, Karl W. Schulz, Hari Sundar, Dhabaleswar K. Panda:
Designing Scalable Out-of-core Sorting with Hybrid MPI+PGAS Programming Models. PGAS 2014: 7:1-7:9 - 2013
- [j3]Nicholas Malaya, Kemelli C. Estacio-Hiroms, Roy H. Stogner, Karl W. Schulz, Paul T. Bauman, Graham F. Carey:
MASA : a library for verification using manufactured and analytical solutions. Eng. Comput. 29(4): 487-496 (2013) - [c11]Hari Subramoni, Devendar Bureddy, Krishna Chaitanya Kandalla, Karl W. Schulz, Bill Barth, Jonathan L. Perkins, Mark Daniel Arnold, Dhabaleswar K. Panda:
Design of network topology aware scheduling services for large InfiniBand clusters. CLUSTER 2013: 1-8 - [c10]Hari Sundar, Dhairya Malhotra, Karl W. Schulz:
Algorithms for high-throughput disk-to-disk sorting. SC 2013: 93:1-93:10 - 2012
- [j2]Kelly P. Gaither, Hank Childs, Karl W. Schulz, Cyrus Harrison, William L. Barth, Diego Donzis, Pui-Kuen Yeung:
Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations. IEEE Computer Graphics and Applications 32(4): 34-45 (2012) - [c9]Hari Subramoni, Sreeram Potluri, Krishna Chaitanya Kandalla, Bill Barth, Jérôme Vienne, Jeff Keasler, Karen A. Tomko, Karl W. Schulz, Adam Moody, Dhabaleswar K. Panda:
Design of a scalable InfiniBand topology service to enable network-topology-aware placement of processes. SC 2012: 70 - [c8]Christopher S. Simmons, Karl W. Schulz:
A distributed memory out-of-core method on HPC clusters and its application to quantum chemistry applications. XSEDE 2012: 1:1-1:7 - 2011
- [c7]Hari Subramoni, Krishna Chaitanya Kandalla, Jérôme Vienne, Sayantan Sur, Bill Barth, Karen A. Tomko, Robert T. McLay, Karl W. Schulz, Dhabaleswar K. Panda:
Design and Evaluation of Network Topology-/Speed- Aware Broadcast Algorithms for InfiniBand Clusters. CLUSTER 2011: 317-325 - [c6]Ernesto E. Prudencio, Karl W. Schulz:
The Parallel C++ Statistical Library 'QUESO': Quantification of Uncertainty for Estimation, Simulation and Optimization. Euro-Par Workshops (1) 2011: 398-407 - [c5]Robert T. McLay, Karl W. Schulz, William L. Barth, Tommy Minyard:
Best practices for the deployment and management of production HPC clusters. SC State of the Practice Reports 2011: 9:1-9:11 - 2010
- [c4]Sreeram Potluri, Ping Lai, Karen A. Tomko, Sayantan Sur, Yifeng Cui, Mahidhar Tatineni, Karl W. Schulz, William L. Barth, Amitava Majumdar, Dhabaleswar K. Panda:
Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application. ICS 2010: 17-25 - [c3]Nicholas Malaya, Karl W. Schulz, Robert D. Moser:
Petascale I/O using HDF-5. TG 2010: 11:1-11:4
2000 – 2009
- 2007
- [c2]Karl W. Schulz, Kent F. Milfeld:
Message from the conference chairs, Cluster 2007. CLUSTER 2007 - 2006
- [j1]Shirley Cohen, Patrick Hurley, Karl W. Schulz, William L. Barth, Brad Benton:
Scientific formats for object-relational database systems: a study of suitability and performance. SIGMOD Rec. 35(2): 10-15 (2006)
1990 – 1999
- 1996
- [c1]Tommy Minyard, Yannis Kallinderis, Karl W. Schulz:
Partitioning and Dynamic Load Balancing of Adaptive Hybrid Grids for Large-Scale Turbulent Flow Simulations. HICSS (1) 1996: 575-584
Coauthor Index
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last updated on 2025-10-16 00:11 CEST by the dblp team
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