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Tackling Virtual Infrastructure Allocation in Cloud Data Centers: a GPU-Accelerated Framework.

, , , , и . CNSM, стр. 191-197. IEEE Computer Society, (2018)

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Leandro Maciel

Francesco Nesi

Leandro Cravero

Leandro Perucchi

Leandro Velloso

 

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Using Visualization of Performance Data to Investigate Load Imbalance of a Geophysics Parallel Application., , и . PEARC, стр. 518-521. ACM, (2020)GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers., , , и . CCGrid, стр. 364-365. IEEE Computer Society, (2018)A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts., , и . CNI@MICCAI, том 10511 из Lecture Notes in Computer Science, стр. 89-97. Springer, (2017)Tackling Virtual Infrastructure Allocation in Cloud Data Centers: a GPU-Accelerated Framework., , , , и . CNSM, стр. 191-197. IEEE Computer Society, (2018)Task-based parallel strategies for computational fluid dynamic application in heterogeneous CPU/GPU resources., , , и . Concurr. Comput. Pract. Exp., (2020)Summarizing task-based applications behavior over many nodes through progression clustering., , , и . PDP, стр. 35-42. IEEE, (2023)Visual Performance Analysis of Memory Behavior in a Task-Based Runtime on Hybrid Platforms., , , и . CCGRID, стр. 142-146. IEEE, (2019)Performance analysis of task-based multi-frontal sparse linear solvers: Structure matters., , , и . Future Gener. Comput. Syst., (2022)Providing In-depth Performance Analysis for Heterogeneous Task-based Applications with StarVZ., , , и . IPDPS Workshops, стр. 16-25. IEEE, (2021)Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast., , и . IPDPS, стр. 357-367. IEEE, (2022)