Media Summary: PyData New York City 2017 Slides: This talk discusses ongoing work to ... This thirty-minute screen casts takes users through setting up an interactive computing environment on a traditional HPC ... Performance optimization in distributed systems is both hard and valuable. It's hard because information like task runtimes, data ...
Matthew Rocklin Using Dask For - Detailed Analysis & Overview
PyData New York City 2017 Slides: This talk discusses ongoing work to ... This thirty-minute screen casts takes users through setting up an interactive computing environment on a traditional HPC ... Performance optimization in distributed systems is both hard and valuable. It's hard because information like task runtimes, data ... PyData DC 2016 This talk discusses parallel and distributed computing in Python, particularly for ad-hoc and custom algorithms. Distributed computing is great! Unfortunately, distributed computing is also hard and often heavyweight. This friction gets in the ... Learn more at Recording for the GTC 2020 talk "Deploying RAPIDS at Scale
