activity
20202025
most citedHigh Performance Dataframes from Parallel Processing Patterns

7 citations · 10 across the 5 of their papers we have counts for

collaborators

8 papers

cs.DC2025★ 3 cited

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement

Felipe Aramburú, William Malpica, Kaouther Abrougui +18

Online analytical processing of queries on datasets in the many-terabyte range is only possible with costly distributed computing systems. To decrease the cost and increase the thr…

cs.DC2022★ 7 cited

High Performance Dataframes from Parallel Processing Patterns

Niranda Perera, Supun Kamburugamuve, Chathura Widanage +7

The data science community today has embraced the concept of Dataframes as the de facto standard for data representation and manipulation. Ease of use, massive operator coverage, a…

cs.DC2021

Intel Optane DCPMM and Serverless Computing

Ahmet Uyar, Selahattin Akkas, Jiayu Li +1

This report describes 1) how we use Intel's Optane DCPMM in the memory Mode. We investigate the the scalability of applications on a single Optane machine, using Subgraph counting…

cs.DC2021

HPTMT Parallel Operators for High Performance Data Science & Data Engineering

Vibhatha Abeykoon, Supun Kamburugamuve, Chathura Widanage +5

Data-intensive applications are becoming commonplace in all science disciplines. They are comprised of a rich set of sub-domains such as data engineering, deep learning, and machin…

cs.DC2021

HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks

Supun Kamburugamuve, Chathura Widanage, Niranda Perera +5

Data-intensive applications impact many domains, and their steadily increasing size and complexity demands high-performance, highly usable environments. We integrate a set of ideas…

cs.DC2020

Data Engineering for HPC with Python

Vibhatha Abeykoon, Niranda Perera, Chathura Widanage +6

Data engineering is becoming an increasingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety…

cs.DC2020

A Fast, Scalable, Universal Approach For Distributed Data Aggregations

Niranda Perera, Vibhatha Abeykoon, Chathura Widanage +7

In the current era of Big Data, data engineering has transformed into an essential field of study across many branches of science. Advancements in Artificial Intelligence (AI) have…

cs.DC2020

High Performance Data Engineering Everywhere

Chathura Widanage, Niranda Perera, Vibhatha Abeykoon +7

The amazing advances being made in the fields of machine and deep learning are a highlight of the Big Data era for both enterprise and research communities. Modern applications req…