Stars
Counterfactual Explanations for Multivariate Time Series Data
E2EWatch: An End-to-end Anomaly Diagnosis Framework for Production HPC Systems
The artifact for the EuroPar'18 paper "Taxonomist", an ML-based application detection framework that uses system telemetry.
Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems
ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems
This repository includes the code for Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems
Privacy preserving version of Shazam, implemented as the solution to the Bounty Program of Zama
A curated list of awesome high performance computing resources
STUMPY is a powerful and scalable Python library for modern time series analysis
Advanced Profiling and Analytics for AMD Hardware
pyCubexR is a Python package for reading the Cube4 (.cubex) file format.
Analyze parallel execution traces using pandas dataframes
A parallel framework for training deep neural networks
An open access book on scientific visualization using python and matplotlib
A template for University of Maryland dissertations
Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is des…
🚴 Call stack profiler for Python. Shows you why your code is slow!
TAU Performance System Public Mirror (Updated every night at midnight, USA Pacific Time)
Caliper is an instrumentation and performance profiling library
HPCToolkit performance tools: measurement and analysis components
Analyze graph/hierarchical performance data using pandas dataframes
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
MPI programming lessons in C and executable code examples