Workshop Schedule

HPPSS will take place on Monday, November 18th from 2 PM - 5:30 PM ET in room B304. See the Link to SC24 HPPSS Schedule for more details. Links to short papers and abstracts are available from the Presentations page.

Event	Speaker(s)	Time
HPPSS Introduction	Pete Mendygral, Sunita Chandrasekaran, Daniel Margala, Sam Foreman	2 PM - 2:05 PM
Invited Speaker	Matthew Rocklin	2:05 PM - 2:55 PM
Lightning Talks Announcement	Pete Mendygral, Sunita Chandrasekaran, Daniel Margala, Sam Foreman	2:55 PM - 3 PM
Afternoon Break		3 PM - 3:30 PM
Exploring Data Science with Arkouda: A Practical Introduction to Scalable Data Science	Ben McDonald	3:30 PM - 3:47 PM
CUDA Python Object Models and Parallelism Models	Andy Terrel	3:47 PM - 4:04 PM
Seamlessly scale your python program from single CPU core to multi-GPU multi-node HPC cluster with cuNumeric	Wonchan Lee, Manolis Papadakis, Mike Bauer, Bo Dong	4:04 PM - 4:21 PM
Visualizing Workflows with the Dragon Telemetry Service	Indira Pimpalkhare, Colin Wahl, Maria Kalantzi	4:21 PM - 4:38 PM
Accelerating Python Applications with Dask and ProxyStore	J Gregory Pauloski, Klaudiusz Rydzy, Valerie Hayot-Sasson, Ian Foster, Kyle Chard	4:38 PM - 4:55 PM
PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python	Giorgis Georgakoudis, Todd Anderson, Stuart Archibald, Bronis de Supinski, Timothy Mattson	4:55 PM - 5:12 PM
Lightning Talks and Concluding Remarks	Pete Mendygral, Sunita Chandrasekaran, Daniel Margala, Sam Foreman	5:12 PM - 5:30 PM

Matthew Rocklin (Dask/Coiled) - Invited Speaker

Matthew is an open source software developer in the Python data ecosystem. He maintains several PyData libraries, but today focuses mostly on Dask, a library for parallel computing. Matthew worked for Anaconda for several years, and then NVIDIA before going on to found Coiled, a company focused on large scale computing in the cloud. Matthew holds a bachelors degree from UC Berkeley in physics and mathematics, and a PhD in computer science from the University of Chicago.