We provide comprehensive instruction on workload management systems like Slurm and PBS, covering job submission, scheduling, resource management, and troubleshooting—enabling users to run their HPC jobs efficiently across clusters.
Our sessions dive deep into Message Passing Interface (MPI) programming and GPU acceleration techniques, including CUDA-aware MPI optimizations, efficient GPU buffer management, and parallel execution strategies—designed to maximize performance on modern heterogeneous clusters
Learn to leverage container technologies such as Apptainer (formerly Singularity) for reproducible, portable HPC workloads. We cover image creation, container orchestration, and integration with cluster environments to simplify software deployment and dependency management.
Designed for system administrators and support teams, these workshops cover cluster provisioning, security best practices, monitoring, resource scheduling, and performance tuning—ensuring smooth, secure, and optimized HPC operations.