The week-long workshop program from January 13-17, 2014 featured instruction in software tools for modeling, analysis, scientific computing and visualization, as well as how to use cluster, grid and cloud resources available to Harvard faculty, students and staff. This year, we offered an expanded program with additional sessions in Python, MATLAB, and high-performance computing. We also welcomed NVIDIA and Julia to the workshop line-up for the first time.

While the workshops were not videotaped, workshop materials from the presenters can be found on the Workshop Details page.


HPC and Big Data Analytics on Amazon Web Services

M 1/13 9:30 AM-5:00 PM
(lunch/hands-on afternoon workshop)

More info
MathWorks Inc.
Explore, Visualize, and Analyze Your Data with MATLAB T 1/14 9:30-11:30 AM More info
Programming with MATLAB W 1/15  9:30-11:30 AM More info
Parallel Computing with MATLAB
TH 1/16  9:30-11:30 AM More info
Continuum Analytics (Python)
Introduction to Programming in Python 
Ian Stokes-Rees
M 1/13 1:30-4:00 PM More info
Python Awesome: for the experienced programmer new to Python
Ian Stokes-Rees
T 1/14 1:30-4:30 PM
More info
A Tour of Scientific Programming in Python
Ian Stokes-Rees
W 1/15 1:30-4:00 PM More info
Data Visualization in Python
Ian Stokes-Rees
TH 1/16 1:30-4:00 PM More info
FAS Research Computing
Introduction to Linux and FAS HPC Resources T 1/14 1:30-5:00 PM
More info

Best Practices in Using FAS HPC System (Odyssey)

Location: Science Center Lecture Hall E

W 1/15 1:30-5:00 PM More info

Introduction to Parallel Computing and OpenMP

Location: Science Center Lecture Hall C

TH 1/16 1:30-5:00 PM More info

Parallel Programming with MPI

Location: Science Center Lecture Hall C

F 1/17 1:30-5:00 PM More info
Institute for Quantitative Social Science
Introduction to R
Ista Zahn
W 1/15 1:30-4:30 PM More info
R Graphics
Ista Zahn
TH 1/16 1:30-4:30 PM More info
       Introduction to Julia
       Jiahao Chen
T 1/14 1:30-5:00 PM More info

GPU Computing Workshop
Jonathan Bentz

F 1/17 9:30 AM-4:30 PM (lunch provided) More info

Questions? Email