Course: Topics in Parallel Computation


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.

Intellectual Merit

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 Impact

it 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.

Use of FutureGrid

students will compile MPI and CUDA codes, and have them run on Cluster and GPU.

Scale Of Use

The class will use the system about 5-6 hours/day. In cluster, they will be using about 32-64 cores.



home work reports related with MPI and CUDA programming.
Heru Suhartanto
Universitas Indonesia

Project Members

Ade Sudiman
Ardhi Pratama
Ari Wibisono
Daya Adianto
Denny Hermawan
Habiburrahman Tanjung
Hafizh Hasrindra
Husein Mufti
Ida Bagus Prawira Janottama Keniten
Lukmanul Hakim
Mufid Afif
Muhammad Hilman
Muhammad Irfan Nasution
Rimphy Darmanegara
Rizqi Synergy
Yakub Aqib Bayhaqi
Yudhi Paramartha


35 weeks 6 days ago