Daiß, G., Diehl, P., Yan, J., Holmen, J. K., Gayatri, R., Junghans, C., ... & Kaiser,
H. (2024). Asynchronous-Many-Task Systems: Challenges and Opportunities--Scaling an
AMR Astrophysics Code on Exascale machines using Kokkos and HPX. arXiv preprint arXiv:2412.15518.
Giaremis, S., Nader, N., Dawson, C., Kaiser, C., Nikidis, E., & Kaiser, H. (2024).
Storm surge modeling in the AI era: Using LSTM-based machine learning for enhancing
forecasting accuracy. Coastal Engineering, 191, 104532.
Diehl, P., Nader, N., Brandt, S., & Kaiser, H. (2024). Evaluating AI-generated code
for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust. arXiv preprint arXiv:2405.13101.
Diehl, P., Daiß, G., Brandt, S. R., Kheirkhahan, A., Yadav Singanaboina, S., Marcello,
D., ... & Kaiser, H. (2024). Distributed astrophysics simulations using Octo-Tiger
with RISC-V CPUs using HPX and Kokkos. arXiv e-prints, arXiv-2407.
Diehl, P., Brandt, S. R., & Kaiser, H. (2024). Shared memory parallelism in Modern
C++ and HPX. SN Computer Science, 5(5), 459.
Diehl, P., Daiß, G., Huck, K., Marcello, D., Shiber, S., Kaiser, H., & Pflüger, D.
(2024). Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku.
The Journal of Supercomputing, 1-32.
Diehl, P., Brandt, S. R., & Kaiser, H. (2024). Octo-Tiger, a Showcase for a Portable
High Performance Application. In Parallel C++ Efficient and Scalable High-Performance
Parallel Programming Using HPX (pp. 187-193). Cham: Springer International Publishing.
Diehl, P., Brandt, S. R., & Kaiser, H. (2024). Examples of Distributed Programming.
In Parallel C++ Efficient and Scalable High-Performance Parallel Programming Using
HPX (pp. 163-178). Cham: Springer International Publishing.
Diehl, P., Brandt, S. R., & Kaiser, H. (2024). Programming with Low Level Threads.
In Parallel C++ Efficient and Scalable High-Performance Parallel Programming Using
HPX (pp. 79-83). Cham: Springer International Publishing.
Kaiser, H., Diehl, P., Lemoine, A. S., Lelbach, B. A., Amini, P., Berge, A., ... &
Zhang, T. (2020). Hpx-the c++ standard library for parallelism and concurrency. Journal
of Open Source Software, 5(53), 2352.
2024-2026: Hartmut Kaiser, NSF POSE: Phase II: Nexus: Harnessing open High Performance
Computing (HPC) through HPX, 2024-2026, Co-PI (50%), $1,500,000.
2022-2025: Hartmut Kaiser, NSF POSE: Phase I: Constellation: A Pathway to Establish
the STE||AR Open-Source Organization, 2022-2025, Co-PI (50%), $300,000.
2021-2025: Hartmut Kaiser, MuSiKAL: Multiphysics Simulations and Knowledge discovery
through AI/ML technologies, 2021-2025, DoE, PI (100%), $600,000.
2017-2025: Hartmut Kaiser, Integration of the HPX programming model into the FLeCSI
framework, 2017-2025, DoE, PI (100%), $900,000.
2020-2021: Hartmut Kaiser, Development of the DCA Application Using HPX, 2020-2021,DoE,
PI (100%), $150.000.
2018-2021: Hartmut Kaiser, Infrastructure Development for Analyzing Resilience With
Asynchronous Many Task (AMT) Programming Models, 2018-2021, DoE, PI (100%), $275,000.
2020-2021Hartmut Kaiser, High Performance Data Analytics (HPDA) Scalable Second-Order
Optimization (SSO), 2020-2021, DoE, PI (100%), $50.000.
2018-2020: Hartmut Kaiser, Phylanx: Engine Enhancement and Visualizations Development
(LSU), 2018-2020, DoD, $2,440,000 in collaboration with Universities of Oregon and Arizona (LSU: PI (100%): $1,760,000).
2014-2018: Hartmut Kaiser, SI2-SSI: Collaborative Research: STORM: a Scalable Toolkit
for an Open community supporting near Real-time high resolution coastal Modeling,
2014-2018, NSF, $3,000,000, in collaboration with Universities of Texas, Notre Dame,
and North Carolina (LSU: PI (100%): $1,000,000).
2017-2018: Hartmut Kaiser, CCF: Collaborative Research: Phylanx: Python Based Array
Processing in HPX, 2017-2018, NSF, $450,000, in collaboration with University of Oregon
(LSU: PI (100%): $350,000).
2012-2017: Hartmut Kaiser, INSPIRE: STAR: A Scalable toolkit for Transformative Astrophysics
Research, 2012-2017, NSF, PI (100%), $800,000.
2014-2016: Hartmut Kaiser, BIGDATA: F: DKM: Collaborative Research: PXFS: ParalleX
Based Transformative I/O System for Big Data, 2014-2016, NSF, $1,130,000, in collaboration with Clemson University, and Indiana University (LSU: PI (100%): $430,000).
2012-2016: Hartmut Kaiser, An eXascale PRogramming Environment and System Software
(XPRESS), 2012-2016, DoE, $12,000,000, in collaboration with DoE labs and several
universities (LSU: PI (100%), $1,050,000).
Honggao Liu, Mark Jarrel, Hartmut Kaiser, Steven Brandt, Jagannathan Ramanujam, II-NEW:
Shebob- A Heterogeneous Computing Platform to Enable Transformation of Computational
Research and Education in the State of Louisiana, NSF, Co-PI (10% credit), $600,000.
2011-2015: Hartmut Kaiser, SHF: Large: Collaborative Research: PXGL: Cyberinfrastructure
for Scalable Graph Execution, 2011-2015, NSF, $4,000,000, in collaboration with Indiana University (LSU: PI (100%), $400,000).
2011-2013: Hartmut Kaiser, Maciej Brodowicz, Thomas Sterling, CSR: Small: Accelerated
ParalleX (APX) for Enhanced Scaling AMR based Science, 2011-2013, NSF, PI (50% credit),
$500,000.
2012-2014: Hartmut Kaiser, Evaluation, Optimization, and Application of Execution
Models for Exascale Computing, 2012-2014, DoE, PI (100%), $78,000.
2010-2012: Thomas Sterling, Hartmut Kaiser, Ubiquitous High Performance Computing,
2010-2012, DARPA, Co-PI (10% credit), $1,000,000.
2008-2010: Shantenu Jha, Hartmut Kaiser, OMII-SAGA: Providing a Stable and Usable
Implementation of SAGA for the OMII-UK Middleware Distribution, 2008-2010, NSF, Co-PI (10% credit),
$600,000.
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