Peter's repositories
nsystraceparser
Generate and parse NVIDIA NSight Systems traces exported to JSON format aggregating time of CUDA kernels corresponding to some cuDNN or cuBLAS API events.
mlbenchmarks
Machine Learning benchmarks.
synthetic_move
Training movement predictions on synthetic data
cloud_providers
Compare cloud GPU machines hardware specifications, peak performance and cost.
gitcompare
Compare file modifications in last N commits with diffuse.
chainer
A flexible framework of neural networks for deep learning
chainer_tut
Chainer Docker files and tutorial notebooks.
cross_compiler_4tegra
Files for building cross compiler x86_64 -> Aarch64.
cssstyles
CSS styles for Safari etc.
cupy
NumPy-like API accelerated with CUDA
digitarium
Web site about computers.
DNNMark
Benchmarks of Deep Neural Networks
jupyter-spark
Docker image for Apache Spark testing with Jupyter notebook.
kportal_settings
Settings for K-portal installation.
LML4PJM
LML files for monitoring on K computer
ml-performance-prediction
Code that accompanies the paper "Predicting the Computational Cost of Deep Learning Models"
Nexrad
Files for using Nexrad data in Docker container. (https://eng.climate.com/2015/10/27/how-to-read-and-display-nexrad-on-aws-using-python/)
nicam-dc-mini
NICAM-DC mini application with a set of weak scaling test data