Abstract
This paper explores modeling methods for evaluating the scalability and throughput of high-performance computing systems. Developed during postgraduate research at CESCA, it presents a simulation-based approach to predicting the performance of parallel architectures before deployment, with a focus on how workload distribution and interconnect behavior shape achievable speed-up. The work sits within the early-1990s European high-performance computing landscape, where transputer-based and message-passing systems were the practical frontier of parallelism.
Topics
- Parallel Computing
- Performance Modeling
- Simulation
- High-Performance Computing
- Scalability
- Distributed Systems
Also listed on Academia.edu. The authoritative version of this work is hosted here on carlosortet.com.