Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Shoumik Palkar

Shoumik Palkar
Graduate Student, Stanford University


Shoumik Palkar is a second-year PhD student in the Infolab at Stanford University, where he works with Matei Zaharia on high-performance data analytics. He holds a degree in electrical engineering and computer science from UC Berkeley.


4:35pm5:15pm Wednesday, September 27, 2017
Data science & advanced analytics, Machine Learning & Data Science
Location: 1A 08/10 Level: Intermediate
Secondary topics:  Pydata
Shoumik Palkar (Stanford University), Matei Zaharia (Stanford University)
Average rating: *****
(5.00, 2 ratings)
Modern data applications combine functions from many optimized libraries (e.g., pandas and TensorFlow) and yet do not achieve peak hardware performance due to data movement across functions. Shoumik Palkar and Matei Zaharia offer an overview of Weld, a new interface to implement functions in these libraries while enabling optimizations across them. Read more.