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Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline.

, , and . PDP, page 152-156. IEEE, (2020)

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Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm., , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 387-392. Springer, (2019)Combining Design Space Exploration with Task Scheduling of Moldable Streaming Tasks on Reconfigurable Platforms., , and . ARC, volume 12700 of Lecture Notes in Computer Science, page 93-107. Springer, (2021)Packet-Type Aware Scheduling of Moldable Streaming Tasks on Multicore Systems with DVFS., , , , and . SAC, page 449-451. ACM, (2024)Kleptography in Authentication Protocols: Why is it Still Possible?, , and . EICC, page 109-110. ACM, (2022)Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures., and . Euro-Par Workshops, volume 13098 of Lecture Notes in Computer Science, page 322-333. Springer, (2021)Code generation for energy-efficient execution of dynamic streaming task graphs on parallel and heterogeneous platforms., and . Concurr. Comput. Pract. Exp., (2022)Raising Energy Efficiency and Fault Tolerance with Parallel Streaming Application Scheduling on Multicore Systems.. University of Hagen, Germany, (2023)Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling., , and . EUSIPCO, page 1-5. IEEE, (2019)Robustness and Energy-elasticity of Crown Schedules for Sets of Parallelizable Tasks on Many-core Systems with DVFS., , and . PDP, page 136-143. IEEE, (2020)Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes., , and . HPCS, page 575-581. IEEE, (2019)