🔮 Execution time predictions for deep neural network training iterations across different GPUs.
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Updated
Nov 26, 2022 - Python
🔮 Execution time predictions for deep neural network training iterations across different GPUs.
This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (NeurIPS 2023).
Fortran code analysis for performance prediction
Neural Architecture Performance PredictionUsing Graph Neural Networks
Code for "Conformal Performance Range Prediction for Segmentation Output Quality Control" accepted to MICCAI UNSURE 2024
Lightweight, extensible, and fair multi- DNN manager for heterogeneous embedded devices.
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
A tool to predict the efficacy of DNN optimizations
A Machine Learning framework for early performance prediction and design space exploration in computer architecture simulations (ChampSim).
Python tool to generate training data for my master thesis
this project implements physics-informed machine learning models to predict lithium-ion battery degradation and performance metrics, including RUL, SoC, and SoH.
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