Johannes P. Blaschke

Orcid: 0000-0002-6024-3990

According to our database1, Johannes P. Blaschke authored at least 16 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Real-time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis.
Concurr. Comput. Pract. Exp., May, 2024

Optimizing Checkpoint-Restart Mechanisms for HPC with DMTCP in Containers at NERSC.
CoRR, 2024

Interactive and Urgent HPC: Challenges and Opportunities.
CoRR, 2024

Accelerating x-ray tracing for exascale systems using Kokkos.
Concurr. Comput. Pract. Exp., 2024

2023
Oceananigans.jl: A model that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations.
CoRR, 2023

2022
A parallel cell-centered adaptive level set framework for efficient simulation of two-phase flows with subcycling and non-subcycling.
J. Comput. Phys., 2022

MFIX-Exa: A path toward exascale CFD-DEM simulations.
Int. J. High Perform. Comput. Appl., 2022

Bridging HPC Communities through the Julia Programming Language.
CoRR, 2022

The LBNL Superfacility Project Report.
CoRR, 2022

2021
Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis.
CoRR, 2021

Accelerating GMRES with Deep Learning in Real-Time.
CoRR, 2021

Experiences with Cross-Facility Real-Time Light Source Data Analysis Workflows.
Proceedings of the IEEE/ACM HPC for Urgent Decision Making, 2021

cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Enabling discovery data science through cross-facility workflows.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019
AMReX: a framework for block-structured adaptive mesh refinement.
J. Open Source Softw., 2019

2009
Accelerating Monte Carlo simulations with an NVIDIA<sup>®</sup> graphics processor.
Comput. Phys. Commun., 2009


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