Homework - Spring 2019

Programming Assignments

Homework includes programming assignments to practice the following programming models on AWS and Harvard’s Odyssey:

We have developed the following guides to help with the deployment of parallel computing and big data processing frameworks on AWS:

The course includes several guest hands-on sessions by the FAS Division of Science, Research Computing Group at Harvard University about how to use the Odyssey cluster for GPU, OpenMP, and MPI jobs.

These guides and the homework scripts are available on Canvas

Homework is due electronically. We will deduct the appropriate number of late days for assignments handed in after the due date.

Reading Assignments

POTENTIAL OF CLOUD FOR SCIENTIFIC APPLICATIONS

RELATION BETWEEN EFFICIENCY AND EXECUTION TIME AT SCALING

REPRODUCIBILITY IN SCIENTIFIC COMPUTING

PROGRAMMING LARGE-SCALE SYSTEMS

BIG DATA ANALYTICS REVIEW

SCIENTIFIC COMPUTING MEETS BIG DATA

ON THE CONVERGE OF BIG COMPUTE, BIG DATA AND CLOUD