Contributor
Johannes Blaschke
Biography
Johannes Blaschke has worked in the Data Science Engagement group at NERSC since 2019, leading the NESAP for Data project, and the workflow readiness activities for the next-generation NERSC systems. NESAP for Data addresses data-intensive pipelines that process massive datasets from experimental and observational science facilities like synchrotron light sources, telescopes, microscopes, particle accelerators, or genome sequencers. His work includes researching new high-productivity HPC programming models and techniques; developing cross-facility workflows; and applying novel simulation techniques to a broad range of complex systems. This has led to him becoming a long-time advocate for the Julia language.
Presentations
Workshop
State of the Practice
W
Workshop
Accelerators
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Distributed Computing
Compilers
Data Analysis, Visualization, and Storage
Exascale
Heterogeneous Computing
Linear Algebra
Message Passing
Performance Optimization
Programming Frameworks and System Software
Quantum Computing
Runtime Systems
Software Engineering
Sustainability
Task Parallelism
Tensors
W
Workshop
Accelerators
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Distributed Computing
Compilers
Data Analysis, Visualization, and Storage
Exascale
Heterogeneous Computing
Linear Algebra
Message Passing
Performance Optimization
Programming Frameworks and System Software
Quantum Computing
Runtime Systems
Software Engineering
Sustainability
Task Parallelism
Tensors
W
Birds of a Feather
Programming Frameworks and System Software
TP
XO/EX