3 citations · 3 across the 4 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…