Niranda Perera

Orcid: 0000-0003-3076-0011

According to our database1, Niranda Perera authored at least 17 papers between 2019 and 2024.

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

2024
Design and Implementation of an Analysis Pipeline for Heterogeneous Data.
CoRR, 2024

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

In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes.
CoRR, 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

Hybrid Cloud and HPC Approach to High-Performance Dataframes.
Proceedings of the IEEE International Conference on Big Data, 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

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


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