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Quantifying power consumption variations of HPC systems using SPEC MPI benchmarks.

, , , , and . Comput. Sci. Res. Dev., 25 (3-4): 155-163 (2010)

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PIKA: Center-Wide and Job-Aware Cluster Monitoring., , , and . CLUSTER, page 424-432. IEEE, (2020)Further enhancing the in situ visualization of performance data in parallel CFD applications., and . PeerJ Comput. Sci., (2021)In Situ Visualization of Performance-Related Data in Parallel CFD Applications., and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 400-412. Springer, (2019)Quantifying power consumption variations of HPC systems using SPEC MPI benchmarks., , , , and . Comput. Sci. Res. Dev., 25 (3-4): 155-163 (2010)Enhancing the in Situ Visualization of Performance Data in Parallel CFD Applications., and . Supercomput. Front. Innov., 7 (4): 16-31 (2020)DASH: Distributed Data Structures and Parallel Algorithms in a Global Address Space., , , , , , , and . Software for Exascale Computing, volume 136 of Lecture Notes in Computational Science and Engineering, Springer, (2020)Automatic Detection of HPC Job Inefficiencies at TU Dresden's HPC Center with PIKA., and . ISC Workshops, volume 13999 of Lecture Notes in Computer Science, page 295-306. Springer, (2023)Score-P: A Unified Performance Measurement System for Petascale Applications., , , , , , , , , and 8 other author(s). CHPC, page 85-97. Springer, (2010)From stirring to mixing: artificial intelligence in the process industry., , , , , , and . ETFA, page 967-974. IEEE, (2020)A Halo abstraction for distributed n-dimensional structured grids within the C++ PGAS library DASH., and . PeerJ Comput. Sci., (2023)