Nicholas Chaimov

Orcid: 0000-0001-7807-7620

According to our database1, Nicholas Chaimov authored at least 14 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Multi-Platform SYCL Profiling with TAU.
Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

Identifying Optimization Opportunities Using Memory Access Tracing in OpenSHMEM Runtimes with the TAU Performance System.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
Multi-Level Performance Instrumentation for Kokkos Applications Using TAU.
Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

A Plugin Architecture for the TAU Performance System.
Proceedings of the 48th International Conference on Parallel Processing, 2019

2018
Tracking Memory Usage in OpenSHMEM Runtimes with the TAU Performance System.
Proceedings of the OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity, 2018

2017
Reaching bandwidth saturation using transparent injection parallelization.
Int. J. High Perform. Comput. Appl., 2017

2016
Scaling Spark on Lustre.
Proceedings of the High Performance Computing, 2016

Scaling Spark on HPC Systems.
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

ARCS: Adaptive Runtime Configuration Selection for Power-Constrained OpenMP Applications.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
An Autonomic Performance Environment for Exascale.
Supercomput. Front. Innov., 2015

Exploiting communication concurrency on high performance computing systems.
Proceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores, 2015

Identifying Optimization Opportunities Within Kernel Execution in GPU Codes.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

2014
Toward multi-target autotuning for accelerators.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Tools for machine-learning-based empirical autotuning and specialization.
Int. J. High Perform. Comput. Appl., 2013


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