SOMA: Observability, monitoring, and in situ analytics for exascale applications.
Concurr. Comput. Pract. Exp., August, 2024
Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Towards <i>elastic</i> in situ analysis for high-performance computing simulations.
J. Parallel Distributed Comput., July, 2023
SERVIZ: A Shared In Situ Visualization Service.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
The Ghost of Performance Reproducibility Past.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
SYMBIOMON: A High-Performance, Composable Monitoring Service.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Understanding the Impact of Dynamic Power Capping on Application Progress.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Towards Runtime Analytics in a Parallel Performance System.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
A Plugin Architecture for the TAU Performance System.
Proceedings of the 48th International Conference on Parallel Processing, 2019
MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU.
Parallel Comput., 2018
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems.
CoRR, 2017
MPI performance engineering with the MPI tool interface: the integration of MVAPICH and TAU.
Proceedings of the 24th European MPI Users' Group Meeting, 2017
Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017