Twitter
Facebook
LinkedIn
Google+
YouTubeusenix conference policies
You are here
Home » CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications
CUDA-level Performance with Python-level Productivity for Gaussian Mixture Model Applications
Website Maintenance Alert
Due to scheduled maintenance, the USENIX website may not be available on Monday, March 17, from 10:00 am–6:00 pm Pacific Daylight Time (UTC -7). We apologize for the inconvenience and thank you for your patience.
If you would like to register for NSDI '25, SREcon25 Americas, or PEPR '25, please complete your registration before or after this time period.
BibTeX
@inproceedings {266869,
author = {H. Cook and E. Gonina and S. Kamil and G. Friedland and D. Patterson and A. Fox},
title = {{CUDA-level} Performance with Python-level Productivity for Gaussian Mixture Model Applications},
booktitle = {3rd USENIX Workshop on Hot Topics in Parallelism (HotPar 11)},
year = {2011},
address = {Berkeley, CA},
url = {https://www.usenix.org/conference/hotpar-11/cuda-level-performance-python-level-productivity-gaussian-mixture-model},
publisher = {USENIX Association},
month = may
}
author = {H. Cook and E. Gonina and S. Kamil and G. Friedland and D. Patterson and A. Fox},
title = {{CUDA-level} Performance with Python-level Productivity for Gaussian Mixture Model Applications},
booktitle = {3rd USENIX Workshop on Hot Topics in Parallelism (HotPar 11)},
year = {2011},
address = {Berkeley, CA},
url = {https://www.usenix.org/conference/hotpar-11/cuda-level-performance-python-level-productivity-gaussian-mixture-model},
publisher = {USENIX Association},
month = may
}
connect with us