I have over five years of experience working with HPC systems, including cluster management, job scheduling, and performance optimization. I’ve worked extensively with Slurm and PBS job schedulers, configured and maintained InfiniBand networks, and optimized MPI-based applications for scalability. My role also involved troubleshooting hardware and software issues, ensuring system reliability, and collaborating with researchers to meet computational demands efficiently.

Performance tuning involves profiling applications to identify bottlenecks, such as CPU, memory, or I/O constraints. I use tools like Intel VTune, gprof, and MPI profilers to analyze performance. Based on findings, I optimize code, adjust compiler flags, or reconfigure system parameters. I also ensure proper load balancing and resource allocation to maximize throughput. Collaboration with developers is key to implementing effective optimizations while maintaining code integrity.

I have worked with parallel file systems like Lustre and GPFS, which are critical for handling large-scale data in HPC. My experience includes configuring and tuning these systems for optimal performance, managing storage quotas, and ensuring data integrity. I’ve also implemented backup and disaster recovery strategies. Understanding the interplay between compute nodes and storage systems is essential for minimizing I/O bottlenecks and ensuring efficient data access.

Securing an HPC system involves implementing multi-layered defenses, including firewalls, intrusion detection systems, and regular vulnerability assessments. I enforce strict access controls, use SSH keys for authentication, and ensure software is up-to-date with security patches. Additionally, I monitor system logs for suspicious activity and educate users on best practices. Compliance with organizational security policies and industry standards is a priority to protect sensitive data and maintain system integrity.

Once, a cluster experienced intermittent node failures due to overheating. I diagnosed the issue by analyzing system logs and temperature sensors, identifying inadequate cooling in the data center. I worked with facilities to improve airflow and implemented monitoring tools to track thermal conditions. Additionally, I optimized job scheduling to distribute workloads evenly, reducing heat generation. This proactive approach resolved the issue and improved overall system stability.