Project Overview
The High Bandwidth Distributed HPC project represents a revolutionary approach to scientific computing, creating a federated high-performance computing platform that seamlessly links Korea, Australia, Malaysia, and Pakistan. This cutting-edge infrastructure enables collaborative research through shared GPU/CPU resources, advanced ScienceDMZ architecture, container cloud services, and specialized AI/bioinformatics applications.
Multi-Country HPC Federation
Project Objectives
TEIN-Integrated Distributed Platform
Build a comprehensive, container-based distributed HPC platform that leverages TEIN infrastructure for seamless connectivity and resource sharing across participating countries.
Federated ScienceDMZ Infrastructure
Enable high-speed data exchange through federated ScienceDMZ nodes, ensuring optimal performance for data-intensive scientific applications and research collaborations.
AI & Bioinformatics Applications
Support collaborative AI and bioinformatics applications, enabling researchers to tackle complex computational challenges in medical research and genomics.
Local Capacity Building
Strengthen local expertise in scientific computing and platform management through comprehensive training programs and knowledge transfer initiatives.
HPC Platform Architecture
The distributed HPC platform integrates cutting-edge technologies to create a unified, high-performance computing environment that spans multiple countries and institutions, enabling unprecedented collaboration in scientific research.
Key Activities & Implementation
ScienceDMZ Node Establishment
Successfully established distributed DTN-enabled ScienceDMZ nodes across all participating countries, creating a high-performance data transfer infrastructure for scientific computing applications.
Federated Computing Environment
Developed comprehensive federated computing environments using Kubernetes for orchestration, Ceph for distributed storage, and Keycloak for secure identity management across the platform.
Medical AI Training in Pakistan
Conducted specialized training and research programs focused on medical AI applications in Pakistan, building local expertise in healthcare-focused computational research.
Bioinformatics Research in Malaysia
Implemented comprehensive bioinformatics research programs in Malaysia, enabling advanced genomics research and computational biology applications on the distributed platform.
Blockchain-based ID Federation
Integrated blockchain-based identity federation systems to enhance security and enable seamless authentication across the distributed computing environment.
Key Outcomes & Achievements
Technical Achievements
- Fully Operational Distributed Platform: Successfully deployed and validated a distributed HPC platform spanning four countries, enabling seamless resource sharing and collaborative computing capabilities.
- High-Speed Data Exchange Validation: Demonstrated secure access and high-speed data exchange capabilities across the federated network, ensuring optimal performance for scientific applications.
- Local Team Training: Comprehensive training programs delivered to local teams in advanced computing infrastructure, building sustainable expertise in HPC management and applications.
- AI & Genomics Applications: Successfully deployed and validated AI applications for medical research and bioinformatics workflows for genomics research across the distributed platform.
Research Impact
Medical AI Advancement
Enabled breakthrough research in medical AI applications, providing computational resources and expertise for healthcare innovation in Pakistan and regional partners.
Bioinformatics Research
Facilitated advanced genomics research and computational biology studies in Malaysia, contributing to scientific understanding in life sciences and healthcare.
Cross-Border Collaboration
Established a framework for seamless international research collaboration, enabling scientists to share resources and expertise across institutional and national boundaries.
Technology Transfer
Successfully transferred advanced HPC technologies and expertise to participating countries, building long-term capacity for scientific computing and research.
Challenges & Strategic Solutions
Challenges Overcome
Strategic Solutions
Contributing to Sustainable Development Goals
Future Directions & Expansion
Integration & Scaling
The project roadmap includes comprehensive integration with APAN/APBioNet networks, expanding the platform's reach and capabilities to serve a broader research community across the Asia-Pacific region. This integration will enhance collaborative opportunities and resource sharing among regional research institutions.
Enhanced Use Cases
Future development will focus on expanding use case coverage and HPC network scaling, incorporating emerging computational needs in areas such as climate modeling, materials science, and advanced AI applications. The platform will evolve to support increasingly complex and diverse scientific computing requirements.
Vision for Distributed Scientific Computing
The High Bandwidth Distributed HPC project is establishing a new paradigm for international scientific collaboration, where researchers can seamlessly access and share computational resources across continents. This foundation will accelerate scientific discovery, enable breakthrough research in critical areas like healthcare and climate science, and foster unprecedented levels of international cooperation in the pursuit of knowledge.
Sustainable Development
Multilingual Training Resources
Develop comprehensive, multilingual training materials and documentation to support broader adoption and ensure accessibility across diverse linguistic communities.
Open Dataset Development
Create and maintain open datasets for research applications, enabling researchers worldwide to access high-quality data for scientific investigations and validations.
Regional Network Expansion
Extend the platform to additional countries and institutions across the Asia-Pacific region, creating a truly comprehensive distributed computing ecosystem.
Advanced Research Applications
Support next-generation research applications in emerging fields such as quantum computing simulation, advanced AI model training, and large-scale data analytics.