Alfonso Pardo is a systems administrator and researcher with nine years of experience specializing in high-performance and distributed computing, including cluster management, Lustre storage, SLURM, and CUDA/GPGPU. Based at CIEMAT in Spain, he combines hands-on Linux and network administration with security responsibilities and database/storage administration for HPC and HTC environments. He has taught high-performance computing and grid/paralelism topics at the University of Extremadura, bringing academic rigor to operational environments. His background also includes ASP.NET development and systems analysis from earlier roles, giving him full-stack insight into infrastructure and application interactions. Comfortable automating deployments with tools like Puppet, he is known for bridging research requirements and production-grade cluster operations.
9 years of coding experience
3 years of employment as a software developer
Master en computacion grid y paralelismo, Master en computacion grid y paralelismo at University of Extremadura
A Puppet module designed to configure and manage SLURM(see https://slurm.schedmd.com/), an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters
Contributions:15 pushes in 1 year 2 months
fault-tolerantscalableslurmschedulingpuppet
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Alfonso Pardo - System Administrator And Researcher