Vibhatha Abeykoon

Orcid: 0000-0001-5070-0601

According to our database1, Vibhatha Abeykoon authored at least 18 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
In-depth analysis on parallel processing patterns for high-performance Dataframes.
Future Gener. Comput. Syst., December, 2023

Supercharging Distributed Computing Environments For High Performance Data Engineering.
CoRR, 2023

2022
High-performance iterative dataflow abstractions in Twister2: TSet.
Concurr. Comput. Pract. Exp., 2022

Twister2 Cross-platform resource scheduler for big data.
Concurr. Comput. Pract. Exp., 2022

Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks.
Concurr. Comput. Pract. Exp., 2022

High Performance Dataframes from Parallel Processing Patterns.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

2021
HPTMT Parallel Operators for High Performance Data Science and Data Engineering.
Frontiers Big Data, 2021

HPTMT Parallel Operators for High Performance Data Science & Data Engineering.
CoRR, 2021

HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
A Fast, Scalable, Universal Approach For Distributed Data Reductions.
CoRR, 2020

Twister2: Design of a big data toolkit.
Concurr. Comput. Pract. Exp., 2020

High Performance Data Engineering Everywhere.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

Data Engineering for HPC with Python.
Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

A Fast, Scalable, Universal Approach For Distributed Data Aggregations.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Scientific Image Restoration Anywhere.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019

Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Streaming Machine Learning Algorithms with Big Data Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Twister: Net - Communication Library for Big Data Processing in HPC and Cloud Environments.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018


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