Previous Next

HPC Cluster@FOC

High-Performance Computing (HPC) Cluster which is also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing for applications utilizing big data. The HPCC platform includes system configurations to support both parallel batch data processing and high-performance online query applications. Generally, the HPC cluster is comprised of several different nodes including,

Compute Node Login Node Storage Node


HPE Apollo 6500

Compute Node

The HPE Apollo 6500 Gen10 System is an ideal High-Performance Computing (HPC) and deep learning platform providing unprecedented performance with industry leading Graphical Processing Units (GPUs), fast GPU Interconnect, high bandwidth fabric and a configurable GPU Topology to match users workloads. Furthermore, this infrastructure is essential for the research and development in areas of Artificial Intelligence, Big Data Analytics, Machine Learning & Data Mining, Image Processing techniques, Robotics, Social and Business domains.

Resource Availability

The system with rock-solid reliability, availability, and serviceability (RAS) features includes

512 GB


12 TB



Intel® Xeon®


GPU Modules


Fast GPU-to-GPU communication

Software Availability

HPE Proliant DL380
Login Node

The HPE ProLiant DL380 Gen10 server delivers the latest in security, performance, and expandability. It is standardized on the industry's most trusted compute platform and adaptable for diverse workloads and environments. The secure 2P 2U HPE ProLiant DL380 Gen10 delivers world-class performance with the right balance of expandability and scalability. It is designed for supreme versatility and make it ideal for multiple environments from containers to cloud to big data.

128 GB


1 TB



Intel® Xeon®

Dell EMC
for Storage

Dell EMC consists of a massive data storage, information security, virtualization, analytics, cloud computing and other products and services that enable to store, manage, protect, and analyze data. Dell/EMC CX3 UltraScale series arrays are designed to provide cost-effective mid-range storage with industry-leading high-availability capabilities. Architecture, process, and software enhancements over previous-generation Dell/EMC storage enable these arrays to provide enterprise-class reliability to VMware software– based environments.

128 GB


7 TB



Intel® Xeon®

Natural Language Processing

Computerized approach to analyzing text that is based on both a set of theories and a set of technologies.

Machine Learning

Addresses the question of how to build computers that improve automatically through experience

Big Data Analytics

Itis the application of advanced analytic techniques to very big data sets

Artificial Intelligence

To proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it

Ongoing Researches

Sinhala-Tamil-English Tri Lingual Phrase Translator

This research intends to the development of a Trilingual Selected phrase translator using NMD (Neuro Machine Translation) techniques.
- Team: Dr B Hettige, Ms Gayamini

PINA: Personalized Intelligent Natural Language Assistant

This Project uses NLP concepts to understand Sinhala VOICE and capable to understand the meaning through the Thee Address code concepts.
- Team: Dr TGI Fernanado (USJP) Dr B Hettige

Read more


First attempt with Winodws 2019 and single GPU..


This is a HPC server of the Department of Computer Engineering, General Sir John Kotelawala Defence University.

Dr. ADAI Gunasekara

Head – Department of Computer Science
Senior Lecturer Gr. II

Email : asela@kdu.ac.lk

Dr. B Hettige

Head – Department of Computer Engineering
Senior Lecturer Gr. II

Email : budditha@kdu.ac.lk

Ms. Kalani Ilmini 

Lecturer (Probationary) – Department of Computer


Mrs. G Gayamini

Lecturer (Probationary) – Department of Computer Engineering


Contact us