Gregor von Laszewski
Gregor von Laszewski
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Design and Implementation of an Analysis Pipeline for Heterogeneous Data
MLCommons Cloud Masking Benchmark with Early Stopping
Supercharging distributed computing environments for high-performance data engineering
Ripples: Exascale-Enabled Influence Maximization on Massive Social Networks with Implications to Pandemic Planning
AI for Science and Engineering
AI for Science and Engineering
Heterogeneous DataPipelines for Scientific Computing
Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts
Templated Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh, Applied to the Deep Learning MLCommons Cloudmask Application
Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework
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