Spark WorkshopHosted by Stanford ICME
Friday April 4th 2014
Clark Center Auditorium, Stanford University
Reza Zadeh | Matei Zaharia | Ion Stoica
A workshop on the high-speed cluster programming framework, Spark. We will discuss Machine Learning and Matrix Computations, along with other projects in the Spark platform such as Shark and MLlib, and new programming tools for big data.
The workshop will include introductions to the many Spark features, case studies from current users, best practices for deployment and tuning, future development plans, and hands-on exercises for Amazon EC2.
Clark Center Auditorium
Please register here: Spark workshop registration
Schedule10:00-10:10 Opening Remarks (Reza Zadeh) [slides]
10:10-10:40 Welcome and overview of the Spark Ecosystem (Patrick Wendell) [slides]
10:40-11:25 Parallel Programming with Spark (Holden Karau) [slides]
11:25-12:10 Spark for Numerical Computing (Hossein Falaki) [slides]
12:10-1:15 LUNCH BREAK
1:15-2:00 Machine Learning with MLlib (Xiangrui Meng) [slides]
2:00-5:00 Hands-on Exercises