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Aspen-based performance and energy modeling frameworks., , , , и . J. Parallel Distributed Comput., (2018)Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures., , , и . J. Parallel Distributed Comput., (2019)Runtime Techniques to Enable a Highly-Scalable Global Address Space Model for Petascale Computing., , , , и . Int. J. Parallel Program., 40 (6): 633-655 (2012)Using FPGA Devices to Accelerate Biomolecular Simulations., , , , и . Computer, 40 (3): 66-73 (2007)Performance characteristics of biomolecular simulations on high-end systems with multi-core processors., , и . Parallel Comput., 34 (11): 640-651 (2008)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , и . CoRR, (2018)Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training., , , и . IPDPS, стр. 188-199. IEEE, (2019)A Survey of CPU-GPU Heterogeneous Computing Techniques., и . ACM Comput. Surv., 47 (4): 69:1-69:35 (2015)EqualWrites: Reducing Intra-Set Write Variations for Enhancing Lifetime of Non-Volatile Caches., и . IEEE Trans. Very Large Scale Integr. Syst., 24 (1): 103-114 (2016)SparseLU, A Novel Algorithm and Math Library for Sparse LU Factorization., , и . IA3@SC, стр. 25-31. IEEE, (2022)