A novel approach for hybrid performance modelling and prediction of large-scale computing systems
International Journal of Grid and Utility Computing
μπ: a scalable and transparent system for simulating MPI programs
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
A new perspective on processing-in-memory architecture design
Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness
International Journal of High Performance Computing Applications
Using automated performance modeling to find scalability bugs in complex codes
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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Performance is one of the key features of parallel and distributed computing systems. Therefore, in the past a significant research effort was invested in the development of approaches for performance modeling and prediction of parallel and distributed computing systems. In this paper we identify the trends, contributions, and drawbacks of the state of the art approaches. We describe a wide range of the performance modeling approaches that spans from the high-level mathematical modeling to the detailed instruction-level simulation. For each approach we describe how the program and machine are modeled and estimate the model development and evaluation effort, the efficiency, and the accuracy. Furthermore, we present an overall evaluation of the presented approaches.