Enhancing Energy sector efficiency: A study on supercomputer performance in optimizing energy systems
Mikhail Lavrentiev, Alexey V. Snytnikov
Abstract
Mikhail Lavrentiev, Alexey V. Snytnikov
Abstract
The paper discusses the question of how to evaluate actual performance of a supercomputer system, which is expected on solution to real scientific or engineering problem. In practice this actual performance is rather far from the rather well-known peak performance. In particular, the paper contains a review of the computational problems most commonly solved on petaflops supercomputers as well as the corresponding methods designed for exaflops supercomputers. A proposed technique for measuring the characteristics of the supercomputer using a Particle-In-Cell (PIC) code is described. The choice of this particular numerical method is based on its features, namely that PIC method involves a wide variety of numerical techniques, and thus it is very hard to optimize. The analysis of scalability, parallel efficiency and acceleration rate, which is possible at a particular supercomputer is presented, as well as the analysis of the performance of multi-architecture supercomputer nodes. The integrated criteria to evaluate the real performance of supercomputer system is proposed.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The paper discusses the question of how to evaluate actual performance of a supercomputer system, which is expected on solution to real scientific or engineering problem. In practice this actual performance is rather far from the rather well-known peak performance. In particular, the paper contains a review of the computational problems most commonly solved on petaflops supercomputers as well as the corresponding methods designed for exaflops supercomputers. A proposed technique for measuring the characteristics of the supercomputer using a Particle-In-Cell (PIC) code is described. The choice of this particular numerical method is based on its features, namely that PIC method involves a wide variety of numerical techniques, and thus it is very hard to optimize. The analysis of scalability, parallel efficiency and acceleration rate, which is possible at a particular supercomputer is presented, as well as the analysis of the performance of multi-architecture supercomputer nodes. The integrated criteria to evaluate the real performance of supercomputer system is proposed.
Key concepts: Supercomputer, Computer science, Scalability, Parallel computing, Computational science, Operating system