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Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters!

, , , , , , , and . EE-LSDS, volume 8046 of Lecture Notes in Computer Science, page 3-18. Springer, (2013)

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Enhancing performance and energy consumption of runtime schedulers for dense linear algebra., , , , and . Concurr. Comput. Pract. Exp., 26 (15): 2591-2611 (2014)Enabling semantics to improve detection of data races and misuses of lock-free data structures., , , , , , and . Concurr. Comput. Pract. Exp., (2017)Modeling power and energy of the task-parallel Cholesky factorization on multicore processors., , , and . Comput. Sci. Res. Dev., 29 (2): 105-112 (2014)Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product., , and . Int. J. High Perform. Comput. Appl., (2021)Paving the way towards high-level parallel pattern interfaces for data stream processing., , , and . Future Gener. Comput. Syst., (2018)Block pivoting implementation of a symmetric Toeplitz solver., , and . J. Parallel Distributed Comput., 74 (5): 2392-2399 (2014)Are our dense linear algebra libraries energy-friendly?, , , and . Comput. Sci. Res. Dev., 30 (2): 187-196 (2015)Reformulating the direct convolution for high-performance deep learning inference on ARM processors., , , , , , , and . J. Syst. Archit., (February 2023)Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks., , , , , and . PDP, page 109-116. IEEE, (2021)Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms., , , , and . ICA3PP, volume 10393 of Lecture Notes in Computer Science, page 749-758. Springer, (2017)