Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Kanewala, Thejaka Amila"'
Autor:
Perera, Niranda, Kamburugamuve, Supun, Widanage, Chathura, Abeykoon, Vibhatha, Uyar, Ahmet, Shan, Kaiying, Maithree, Hasara, Lenadora, Damitha, Kanewala, Thejaka Amila, Fox, Geoffrey
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, and popularization of R and Python languages have heavily influenced th
Externí odkaz:
http://arxiv.org/abs/2209.06146
Autor:
Abeykoon, Vibhatha, Kamburugamuve, Supun, Widanage, Chathura, Perera, Niranda, Uyar, Ahmet, Kanewala, Thejaka Amila, von Laszewski, Gregor, Fox, Geoffrey
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 machine learning. These applications are built around efficient data abstrac
Externí odkaz:
http://arxiv.org/abs/2108.06001
Autor:
Kamburugamuve, Supun, Widanage, Chathura, Perera, Niranda, Abeykoon, Vibhatha, Uyar, Ahmet, Kanewala, Thejaka Amila, von Laszewski, Gregor, Fox, Geoffrey
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 developed in various data science and data engineering frameworks. Th
Externí odkaz:
http://arxiv.org/abs/2107.12807
Autor:
Perera, Niranda, Abeykoon, Vibhatha, Widanage, Chathura, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Wickramasinghe, Pulasthi, Uyar, Ahmet, Maithree, Hasara, Lenadora, Damitha, Fox, Geoffrey
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 broadened the scope of data engineering and opened up new application
Externí odkaz:
http://arxiv.org/abs/2010.14596
Autor:
Abeykoon, Vibhatha, Perera, Niranda, Widanage, Chathura, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Maithree, Hasara, Wickramasinghe, Pulasthi, Uyar, Ahmet, Fox, Geoffrey
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 of data formats, storage, data extraction, transformation, and data m
Externí odkaz:
http://arxiv.org/abs/2010.06312
Autor:
Widanage, Chathura, Perera, Niranda, Abeykoon, Vibhatha, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Maithree, Hasara, Wickramasinghe, Pulasthi, Uyar, Ahmet, Gunduz, Gurhan, Fox, Geoffrey
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 require resources beyond a single node's ability to provide. However this
Externí odkaz:
http://arxiv.org/abs/2007.09589
An Abstract Graph Machine(AGM) is an abstract model for distributed memory parallel stabilizing graph algorithms. A stabilizing algorithm starts from a particular initial state and goes through series of different state changes until it converges. Th
Externí odkaz:
http://arxiv.org/abs/1604.04772
Autor:
Firoz, Jesun Sahariar, Kanewala, Thejaka Amila, Zalewski, Marcin, Barnas, Martina, Lumsdaine, Andrew
The increasing complexity of the software/hardware stack of modern supercomputers results in explosion of parameters. The performance analysis becomes a truly experimental science, even more challenging in the presence of massive irregularity and dat
Externí odkaz:
http://arxiv.org/abs/1507.06702
Autor:
Firoz, Jesun Sahariar, Kanewala, Thejaka Amila, Zalewski, Marcin, Barnas, Martina, Lumsdaine, Andrew
Publikováno v:
Euro-Par 2015: Parallel Processing Workshops; 2015, p553-564, 12p
Autor:
Pierce, Marlon, Marru, Suresh, Gunathilake, Lahiru, Kanewala, Thejaka Amila, Singh, Raminder, Wijeratne, Saminda, Wimalasena, Chathuri, Herath, Chathura, Chinthaka, Eran, Mattmann, Chris, Slominski, Aleksander, Tangchaisin, Patanachai
Publikováno v:
2014 6th International Workshop on Science Gateways; 2014, p48-54, 7p