Course: High Performance Computing Class

Project Information

Discipline
Computer Science (401) 
Subdiscipline
14.09 Computer Engineering 
Orientation
Education 
Abstract

This course provides a broad introduction to the fundamentals in high performance computing and its enabling system architectures. The emphasis is on parallel architectures, memory access and programming models, performance modeling, virtualization, and design of parallel algorithms.

Intellectual Merit

In this course, students will explore the state-of-the-art and research directions relating to high performance computing.

Broader Impacts

This project will provide invaluable research, educational and training opportunities to students at both undergraduate and graduate levels. Software and curriculum materials developed under this project will be distributed to the community as free, open source materials.

Project Contact

Project Lead
Wilson Rivera (wriverapr) 
Project Manager
Wilson Rivera (wriverapr) 
Project Members
Edwin Flórez, Isnardo Arenas, Jose Acevedo, Leonardo Ortiz, Antonio Tapia, Jose Nieves, Hiva Samadian, Eduardo Acevedo, alfonso guzman, Jose Nieves, Hiva Samadian, Christian Barrientos Cruz, lexter seda, Angel Burgos, Steven Rodriguez, Daniel Santiago, Samuel Feliciano, Arelis Guerrero, Juan Carlos de León Díaz, Melquisedec Gonzalez-Davila, Steven Morales, Felix Melendez Ocasio, David Rivera, Edgar Candelaria, norberto molina, Manuel Saldana, jose Fernandez  

Resource Requirements

Hardware Systems
  • alamo (Dell optiplex at TACC)
  • sierra (IBM iDataPlex at SDSC)
  • xray (Cray XM5 at IU)
  • delta (GPU Cloud)
 
Use of FutureGrid

We will use FutureGrid resources as a testbed for course term projects

Scale of Use

We have about 15 students in this class.

Project Timeline

Submitted
05/28/2012 - 11:51 
Completed
03/20/2013 
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