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
Kevin Aponte, Erick Caraballo, Enrique Rodriguez, Alicia Surillo, Luis Medina, Jose Virella, Cesar Cruz, Luis Tavarez, Jan Solá, Kevin Hernandez, Juan Morales , Jesus Cajigas, Juan Nieves, Jose Martinez, Edwin Negron, Christian Montes, Juan Carlos de León Díaz, Luis Gonzalez, Andres Malines, David Bartolomei, Juan Bermúdez, Eduardo Breijo, Leroy Gonzalez, Carlos Gomez, Ramón Saldaña, David Fernandez, Omar Soto, Manuel Correa, Derick Morán, Hector Franqui, Isnardo Arenas, Eduardo Acevedo, Alfonso Monet, Steven Rodriguez, Luis Torres, Jose Rodriguez, Beatrice Perez, Keysha Gonzalez-Colon, Ricardo Marrero, Manuel E. Marquez, David Bartolomei, walter quispe  

Resource Requirements

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

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

Scale of Use

The class size will be about 40 students

Project Timeline

Submitted
03/20/2013 - 13:16 
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