argonne-lcf/dlio_benchmark
An I/O benchmark for deep Learning applications
This tool helps deep learning infrastructure engineers and researchers evaluate how efficiently their systems handle data for deep learning applications. It takes configuration files describing various deep learning workloads and generates synthetic data. It then simulates the data input/output (I/O) patterns of these workloads, producing performance reports to identify bottlenecks.
104 stars. Available on PyPI.
Use this if you need to understand and benchmark the I/O performance of your deep learning platforms and storage solutions with realistic data access patterns.
Not ideal if you are looking for a general-purpose disk or network benchmark for non-deep learning workloads.
Stars
104
Forks
56
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Dependencies
15
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/argonne-lcf/dlio_benchmark"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
tanganke/fusion_bench
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
stefan-ctrl/mbdd-enhanced
github.com/google-research/google-research/tree/master/mbpp enhanced
cloudwalk/tictactoe-dataset
Filtering and ranking all of 5478 states in tic-tac-toe for efficient evaluation on the hardest ones