Achieving High-Performance Computing with the Intel Distribution for Python
Hosted By
Austin G.
Details
Main Meeting Topic: Achieving High-Performance Computing with the Intel® Distribution for Python
6:30 - Mingling - Pizza sponsored by HiringSolved
6:40 - Intro/Announcements
6:50 - Talk - Achieving High-Performance Computing with the Intel® Distribution for Python
8:20 - Depart for Social Gathering at Cornish Pasty Company, address below
Abstract:
Achieving High-Performance Computing with the Intel® Distribution for Python* – Python has had a reputation for being “slow” or “not performant” for many years, but a new set of technologies and methods have changed that perception to show that Python can be both high-productivity and high-performance at the same time. Learn more about the work Intel is doing to accelerate workloads in the space, and the methods that are used speed up popular packages such as NumPy, SciPy, and Scikit-learn.
Learn more at:
https://software.intel.com/en-us/distribution-for-python
Our Speaker:
David Liu is a Technical Consultant Engineer at Intel Corporation in Austin, Texas, where he represents Intel's Python products and projects. He is focused on solving customer problems in Python while simultaneously developing and shaping Intel's software products to match customer needs. In the past, he worked as a software engineer utilizing Python in machine learning, network infrastructure, and web work.
David holds an MS in Software Engineering from the University of Texas at Austin.
Where:
Galvanize
515 E Grant St
Phoenix, AZ 85004
Social Gathering:
Come socialize with us after the meeting at Cornish Pasty Company right after the meeting, around 8:30 or 8:45 PM at:
Cornish Pasty Company
7 W Monroe St,
Phoenix, AZ 85003
6:30 - Mingling - Pizza sponsored by HiringSolved
6:40 - Intro/Announcements
6:50 - Talk - Achieving High-Performance Computing with the Intel® Distribution for Python
8:20 - Depart for Social Gathering at Cornish Pasty Company, address below
Abstract:
Achieving High-Performance Computing with the Intel® Distribution for Python* – Python has had a reputation for being “slow” or “not performant” for many years, but a new set of technologies and methods have changed that perception to show that Python can be both high-productivity and high-performance at the same time. Learn more about the work Intel is doing to accelerate workloads in the space, and the methods that are used speed up popular packages such as NumPy, SciPy, and Scikit-learn.
Learn more at:
https://software.intel.com/en-us/distribution-for-python
Our Speaker:
David Liu is a Technical Consultant Engineer at Intel Corporation in Austin, Texas, where he represents Intel's Python products and projects. He is focused on solving customer problems in Python while simultaneously developing and shaping Intel's software products to match customer needs. In the past, he worked as a software engineer utilizing Python in machine learning, network infrastructure, and web work.
David holds an MS in Software Engineering from the University of Texas at Austin.
Where:
Galvanize
515 E Grant St
Phoenix, AZ 85004
Social Gathering:
Come socialize with us after the meeting at Cornish Pasty Company right after the meeting, around 8:30 or 8:45 PM at:
Cornish Pasty Company
7 W Monroe St,
Phoenix, AZ 85003
DesertPy - Phoenix Python Meetup Group
Galvanize
515 East Grant Street · Phoenix, AZ
How to find us
Check in at the front desk, we'll probably be in one of the rooms at the back.
Achieving High-Performance Computing with the Intel Distribution for Python