When

Tuesday March 1, 2016 from 9:00 AM to 4:00 PM CST
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Where

Rice University 
Bioscience Research Collaborative
Room 280 - 2nd Floor Lecture Hall
6500 Main Street
Houston, TX 77005
 

 
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Contact

Marissa Rogers 
Plan 365 Inc. 
919-534-2239
mrogers@plan365inc.com 
 

Parallel Programming and Optimization with
Intel® Xeon® and Xeon Phi™ Platforms
Developer Training Event
Houston, TX

Event Details: Hybrid Course

Tuesday, March 1, 2016
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Rice University
Bioscience Research Collaborative
2nd Floor Lecture Hall
Room 280
6500 Main Street
Houston, TX 77005

Click here to see where it is.
Parking: Underground garage parking located below Biosciences building. 
Rate for BRC Garage is $11 daily maximum
More information on BRC parking can be found here

 

This class is very popular.  If it is closed due to capacity,  please sign-up here.  If we get a cancellation, you will be moved into the class - first come, first served.  You will receive an email notification if you get moved to the class.

*Please bring your own laptop to the CDT 102 training, below is a list of the necessary specifications:

  • Windows (XP or newer), Mac OS X (10.5 or later), or Linux (something from the 21st century)
  • Wired (Ethernet) and wireless (Wi-Fi 802.11g or later) network connectivity
  • Web Browser (any)
  • On Windows: Putty and Pageant (www.putty.org) and WinSCP (www.winscp.net)
  • On Mac OS X and Linux: ssh client
  • Optional: on all operating systems, the free software NoMachine (www.nomachine.com). This is only necessary if you are not comfortable programming in Linux in a text terminal over an SSH connection. System requirements and installation instructions for NoMachine can be found here

This one-day training features presentations and hands-on exercises on the available programming models and best optimization practices for the Intel Xeon Phi coprocessors, and on the usage of the Intel software development and diagnostic tools. 

  • Offload and Native:  "Hello World" to complex, using MPI.
  • Case Study:  All aspects of tuning in the N-body calculation.
  • Optimization I:  Strip-mining for vectorization, parallel reduction.
  • Optimization II:  Loop tiling, thread affinity.
  • Intel Xeon Phi architecture: purpose, organization, prerequisites for good performance, future technology
  • Programming models: native, offload, heterogeneous clustering 
  • Parallel frameworks: automatic vectorization, OpenMP, MPI
  • Optimization methods: general, scalar math, vectorization, multithreading, memory access, communication and special topics

Seminar abstract can be found here

Labs abstract can be found here