Gerardo I.

Gerardo, H. has hands-on experience in parallel computing and cluster configuration, focusing on the development and implementation of brute-force algorithms for alphanumeric password decryption. Using a two-node Ubuntu cluster, where one machine operated as the master node and the other as a slave, Bayron deployed and optimized tasks with OpenMPI and CUDA, highlighting practical gains in computational efficiency and hardware utilization. The project involved securing cluster communication with SSH, configuring shared directories with NFS for program distribution, and employing the C programming language for algorithm development. This work demonstrated reduced execution times, effective workload distribution, and real-time performance monitoring using Grafana, showcasing the feasibility of low-cost, high-performance computing environments in academic and research contexts.