Welcome to FEDerated GENeral “Omics”(FEDGEN) Cloud HPC Datacenter User documentation!
About FEDerated GENeral “Omics” (FEDGEN)
The goal of the FEDerated GENeral “Omics” (FEDGEN) research project is to develop ground-breaking research artefacts on federated cloud computing, artificial intelligence and general “omics” for precision medicine in Africa. The specific objectives are to address critical issues in Africa on research capacity, large-scale research infrastructure, early disease diagnosis, public health education, large scale “omics” data storage/analysis and disease modelling.
We are continuously expanding our private High-Performance Computing (HPC) infrastructure to implement the FEDGEN Datacenter and FEDGEN Testbeds towards providing the required infrastructure for the stated specific objectives. These infrastructures are revolutionising eHealth research in Africa by providing robust platforms for storing and analysing vast amounts of “omics” dataset that underlie malaria, breast and prostate cancers. The cloud AI and advanced computing capabilities enable real-time data processing, allowing researchers to gain rapid insights into complex “omics” information and accelerate the discovery of new treatments and therapies.
Check out our website for further information.
Note
This project is under active development.
FEDGEN HPC RESOURCES
GETTING STARTED
SCHEDULING JOBS
- Resource Manager
- SLURM Workload Manager
- Scheduling Jobs
- Job Script Examples
- Basic examples
- Running many sequential jobs in parallel using job arrays
- Packaging smaller parallel jobs into one large parallel job
- Example on how to allocate entire memory on one node
- How to recover files before a job times out
- OpenMP and MPI
- Message passing example (MPI)
- Packed jobs example
- Hybrid jobs
- GPU jobs
- Settings for OpenMP and MPI jobs
- OpenMP applications
- Multiple node jobs (MPI)
- Scalability
- Managing & Monitoring jobs
- Going parallel
APPLICATIONS