HPCNC

logohpcnc

HPCNC is High Performance Computing and Networking Center located at Department of Computer Engineering at Kasetsart University, Thailand.

Laboratory Head: Asst. Prof. Putchong Uthayopas, Ph.D.

Laboratory Associate: Assoc. Prof. Chantana Chantrapornchai, Ph.D.

HPCNC learn about high performance computing such as parallel computing, cloud computing and gpu computing.

HPCNC was established by Dr. Putchong Uthayopas. Recently, Dr. Chantana Chantrapornchai has joined since 2014.

We involve in teaching about parallel processing including parallel system architecture, basic interconnection network, parallel programming using message passing, performance model of parallel algorithms, cloud computing , GPU and GPU programming, OpenMP and OpenACC . We also teach big data platform and processing course. We organise the related training on these topics. Starting in 2015, we have been granted by NVIDIA for hardware research grant and we have been selected by NVIDIA as a CUDA teaching center to conduct teaching and training in Parallel programming and some of our research is currently supported by NVIDIA hardware grant. In that year, the grants included 5 NVIDIA Teslka K40 and 2 GTX 980.

Besides, we have interested in a small testbed with CUDA cores such as Jetson Xiaver, Nano, TX2, TK1. Rasberry pi cluster is also built for testing low-power cluster computing.

We are NVIDIA DLI Ambassador. DLI Teaching is available on the following courses. The training is usually available for our students in parallel and distributed computing class and may be upon request.

-FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

-FUNDAMENTALS OF DEEP LEARNING FOR MULTIPLE DATA TYPES FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA C/C++

-FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON

The research areas that we are working on include, HPC application parallelization with NVIDIA GPU and cluster platform, power efficient cloud computing, parallel deep learning and AI, cloud and cluster virtualization system, SDN application to HPC. We have a research working on the parallel deep learning approach, parallel semantic web query, low-power virtualization system etc. Besides, we are working on big data processing using GPUs. We also partner with many international universities, e.g the University of Muenster, Germany, NAIST Japan, VISTEC, in many various forms, such as student internships, research collaboration, continuing study etc.

Recent National Partners:

We have done the community services with industrial and public organizations such as

True Lab: The previous projects are high performance cluster for deep learning service, Face and emotion recognition web service and android application, Monitoring signal strength coverage area toolkit building.
HII We continuously work on rainfall and water level data QC. The pipeline process from data source to clean data is being constructed on the high performance machine at HII server. The final goal is to create automatic pipeline for publishing the data set as an open data.

Student Contests:

We involve in National Software Contests as well as International ones.

Student cluster competition is one of our favorite where we started joining in 2015. Our team “Lightning Green” has been selected as 16 finalist for Asian Supercomputing Contest 2015 and has selected as one of 20 finalist in ASC 2021 as a team “PLACEHOLDER”, ASC 2018 as the team “ICEBUCKET” (http://www.asc-events.org). In 2018, we have been selected (one of 12 teams) for ISC 2018, student cluster competition at Frankfurt, Germany.

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