COARE – Computing and Archiving Research Environment
The Computing and Archiving Research Environment (COARE) targets to enable multiple data integration from ASTI-initiated projects and collaborative projects with other agencies that have high requirements for data storage and high-performance computing.
Established in 2014 at the Advanced Science and Technology Institute (ASTI) of DOST, the Computing and Archiving Research Environment (COARE) is a High-Performance Computing and Cloud facility that allows free access of its services to students, researchers, and data analysts.
Objectives of the Facility
To foster collaboration by providing a platform for easy storage, analysis and sharing of environmental and geospatial data, as well as provide better access to high performance computing resources by:
- establishing a durable and highly available repository for environmental data, including systems for archiving and access, and providing recommendations to the PGIF on data sharing, access, and storage; and,
- upgrading the existing computing system facility intended to test and run computationally intensive applications for numerical weather prediction, climate modeling, as well as analytics and data modeling.
Meteorologists, Weather Forecasters, Researchers, Scientists, and Students
- Consolidated effort and resources pertaining to environmental and geospatial data, as a result of having a unified platform for easy storage, analysis, and sharing of environmental and geospatial data, as well as providing better access to high-performance computing resources.
- Enhanced policy and decision-making for disaster management
The DOST-ASTI launched the ICT for the Environment Program in 2008 primarily aimed to develop cost-effective platforms and applications for real-time monitoring of environmental parameters, as well as automate the process from data gathering to transmission. At the same time, DOST-ASTI launched the Philippine e-Science Grid (PSciGrid), which was the Agency’s response to the emerging need for a national initiative on grid computing for e-Science. PSciGrid was initiated to address the science and technology community’s need to have a concerted effort towards fully harnessing ICT infrastructures that can benefit the country’s local research and development, and essentially, for researchers and scientists to participate in cutting-edge collaborative scientific research that aims to solve global problems.
Through the PSciGrid Program, a high-performance computing facility was established in DOST-ASTI. This facility is intended to offer computational and data grid services to national, educational and research institutions that require high-speed computing to process the large amount of data that they handle. Significantly, among the applications that are run in this facility are on numerical and climate modelling which are being used by PAGASA, Manila Observatory, Ateneo de Manila University, UP-NIGS, UP-IESM, among others.
A cluster of aggregated computing power that has the capacity to handle and analyze massive amounts of data at high speed. Compared to a regular desktop, it can accelerate speed of calculations and can deliver much higher performance. Currently, the COARE HPC's computing power consists of 2,304 logical cores (CPU), 20, 352 cuda cores (GPU), 1, 876 terabytes of storage and with 10Gbps network speed.
- Data Archiving
A durable repository is setup to store researchers' environmental and geospatial data. The repository can be used to store data, short-term or long term.
- Science Cloud
The Science Cloud is one of the main services that the COARE project offers. Science Cloud provides cloud-based services to researchers and students through the provision of virtual machines (VM).
A default allocation per service is already set to ensure that CoARE facility resources will be fairly distributed to users.
- Other Services
- Porting and Software Installation
- Server Colocation
Participating Agencies and Organizations
- Project NOAH- Through Web GIS, Surge and Landslide components
- PAGASA- Provision of the Climate Change Projection for the Philippines- Regional climate downscaling
- Philippine Genome Center- 3,000 Rice Genomes Project collaboration
- IRRI- The facility is utilized by two (2) research groups: 1) Grain Quality and Nutrition Center and 2) T.T. Chang Genetic Resource Center (3,000 Rice Genomes Project)
- UP - Institute of Environmental Science and Meteorology- The following projects run various applications and/or store data in the DOST-ASTI facility:
- NOAH-WISE- Fishing Maps Using Space Technology (FishMUST)
- Drought and Crop Assessment and Forecasting (DCAF)
- Project 5: Remote Sensing Product Development for the Philippine Microsatellite
- Calibration of WRF parameterization schemes in dynamic downscaling of climate model
- Impacts of variational data assimilation of dual-polarization Tagaytay C band radar on short-term prediction of heavy rainfall over Metropolitan Manila, Philippines during Southwest monsoon season
- UP - Department of Computer Science- Storm Surge Modelling in the Philippines Setting Using ADCIRC+SWAN through Parallel Computing
- UP - DGE and TCAGP- Project Climate Twin Phoenix
- Pablo (former project was Project Rebuild)
- UP - Institute of Chemistry- Accessible Detection of Dengue Using BioMEMS and MIP Materials
- In Silico Protein Engineering of Industrially Relevant Pseudomonas aeruginosa Lipase
- An Insight into the Manno Binding Site of Pandanin
- Molecular Dynamics Study on Proline to Alanine Mutation in a Phytase Derived from Hafnia alvei
- UP MSI- In silico characterization of conopeptides using molecular dynamics simulation and molecular docking
- UP NIGS - Establishment of a Deep Sea Resources Data Center
- UP DREAM - Phil LiDAR 1 Data Archiving and Distribution Component
- UP Manila College of Arts and Sciences- Classification of Lung Adenocarcinoma Using Optimized Support Vector Machine Applied to Gene Expression Data
- UP Diliman (Graduate and undergraduate researches)
- Construction of Potential Energy Hypersurfaces Through Ab Initio Methods: Application to Protein Structure Prediction
- Wind Resource Assessment Using MMS Numerical Weather Prediction Model
- Evolution of an Erde-Remy Network driven by Agent Diversity
- Rainfall estimation using WRF
- Experimental Simulations on Anthropogenic Aerosol Effect to Landfalling Tropical Cyclone on Philippine Coast: A Virtual Seeding Using WRF-CHEM Model
- IBM - Smarter Agriculture Project
- De La Salle University - Understanding Metromanila Traffic
- Ateneo de Manila University
- Project 5 (Data Integration and Visualization for Sensor Output for Mine Site Monitoring)
- RNA-RNA Interactions in Viral Pathogenesis (Biology Department)
- Biodiversity Unit