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Summarizing task-based applications behavior over many nodes through progression clustering.

, , , and . PDP, page 35-42. IEEE, (2023)

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