2014 Topics in Parallel Computation
Project Information
- Discipline
- Computer Science (401)
- Orientation
- Education
This course covers theory of concurrency and parallelism. It also cover how to use it an high performance computing. The course is
providing students with the concept of processing that need high performance computing (hpc) , the hpc computing architecture. providing students with skills to analysis problem solving that needs the hpc technology. providing students with skills to solve problem in cluster computing environments. The Students will have some exercises and homework using Cluster and GPU.
It help students to explore and have sufficient experience using state of the art resources. Their experiences are valuable in the future collaborative activities.Software and curriculum materials developed under this project will be distributed to the community as free, open source materials.
Broader Impactsit provides basic background in parallel computation. The students passed this courses will be able to joint some research projects related to parallel computation using Cluster and GPU.
Project Contact
- Project Lead
- Heru Suhartanto (heru1904)
- Project Manager
- Heru Suhartanto (heru1904)
- Project Members
- Muhammad Hilman, Denny Hermawan, Mubarik Ahmad, Ari Kurnianto
Resource Requirements
- Hardware Systems
-
- foxtrot (IBM iDataPlex at UF)
- hotel (IBM iDataPlex at U Chicago)
- india (IBM iDataPlex at IU)
- sierra (IBM iDataPlex at SDSC)
- bravo (large memory machine at IU)
- delta (GPU Cloud)
students will compile MPI and CUDA codes, and have them run on Cluster and GPU.
Scale of UseThe class will use the system about 5-6 hours/day. In cluster, they will be using about 32-64 cores
Project Timeline
- Submitted
- 05/13/2014 - 23:36