Titlebook: Euro-Par 2018: Parallel Processing; 24th International C Marco Aldinucci,Luca Padovani,Massimo Torquati Conference proceedings 2018 Springe

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GT-Race: Graph Traversal Based Data Race Detection for Asynchronous Many-Task Parallelismsupports the construction of parallel programs with fine-grained tasks, thereby enabling portability across a wide range of platforms. However, applications written for AMT parallelism still remain vulnerable to data races, and existing data race detection tools are unsuitable for AMT programs becau

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Reducing GPU Register File EnergyUs have increased the number of on-chip registers in every generation. However, with the increase in the register file size, the leakage power increases. Also, with the technology advances, the leakage power component has increased and has become an important consideration for the manufacturing proc

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Characterization of Smartphone Governor Strategiesdently controlled by their own dynamic voltage and frequency (DVFS) governors to fit the requirement of the workload. The dynamic change of the voltage and frequency performed by governors is targeted either towards achieving the optimal performance with the minimum energy consumption or choosing a

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Early Termination of Failed HPC Jobs Through Machine and Deep Learningd during the operation of data centers helps to find patterns explaining failures and can be used to predict them. Automating system reactions, e.g., early termination of jobs, when software failures are predicted does not only increase availability and reduce operating cost, but it also frees admin

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Online Scheduling of Task Graphs on Hybrid Platformsmade of two types of resources, such as CPUs and GPUs. We consider that task graphs are uncovered dynamically, and that the scheduler has information only on the available tasks, i.e., tasks whose predecessors have all been completed. Each task can be processed by either a CPU or a GPU, and the corr