at-aaims Goto Github PK
Name: Analytics and AI Methods at Scale
Type: Organization
Analytics and AI Methods at Scale's Projects
aaims-spack-repo
datasiftml
Data framework for studying optimal sub-sampling of CFD simulations for training machine-learned surrogate models.
dlprof-examples
forge
gears
OLCF site-specific interactive data analytics gears for NCCS AAIMS group & collaborators
hpdc22_darshan_trace_generation
hpdc22_io_access_pattern_performance
olcf-user-docs
Sources for the Oak Ridge Leadership Computing Facility User Documentation
openmxp
This is the open source version of HPL-MXP. The code performance has been verified on Frontier
paramsim
Parametric simulations of problems based on partial differential equations (PDEs) using finite element methods
rochpcg
AAIMS fork of rocHPCG for analysis and optimization
sc21_summit_power_analysis_artifacts
Artifact description appendix for SC 2021 conference article titled “Revealing Power, Energy and Thermal Dynamics of a 200PF Pre-Exascale Supercomputer”.
sc22-hplai-artifact
spider3-paper-io-analysis
this set of analysis and graph goes to spider3 paper in SC19
stemdl-benchmark
summit_power_and_thermal_data
Companion site for the power & thermal analysis data from the OLCF4 Summit system
titan-rur-dataset
Titan Resource Utilization Report (RUR) (2015-2019)
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