Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Kushal Datta"'
Autor:
Arun Ravindran, Vinay Vijendra Kumar Lakshmi, Guangyi Cao, Rohith Tenneti, Arindam Mukherjee, Bharat S. Joshi, Kushal Datta
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 2, Iss 1, Pp 30-68 (2012)
Despite the promising performance improvement observed in emerging many-core architectures in high performance processors, high power consumption prohibitively affects their use and marketability in the low-energy sectors, such as embedded processors
Externí odkaz:
https://doaj.org/article/7a5bb84f60e34f96a3b695efbcde97bd
Autor:
Xian Zhang, Sun Choi, Imtiaz Hossain, Vikram A. Saletore, William J. Godinez, Kushal Datta, Kyle H. Ambert
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030343552
ISC Workshops
ISC Workshops
Existing approaches to train neural networks that use large images require to either crop or down-sample data during pre-processing, use small batch sizes, or split the model across devices mainly due to the prohibitively limited memory capacity avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::196572aed06dec48de578506cc454424
https://doi.org/10.1007/978-3-030-34356-9_35
https://doi.org/10.1007/978-3-030-34356-9_35
Publikováno v:
Proceedings of the VLDB Endowment. 10:349-360
We present a novel storage manager for multi-dimensional arrays that arise in scientific applications, which is part of a larger scientific data management system called TileDB. In contrast to existing solutions, TileDB is optimized for both dense an
Publikováno v:
Proceedings of the 1st ACM/EIGSCC Symposium on Smart Cities and Communities.
From the time and money lost sitting in congestion and waiting for traffic signals to change, to the many people injured and killed in traffic crashes each year, to the emissions and energy consumption from our vehicles, the effects of transportation
Autor:
Arindam Mukherjee, Bharat Joshi, Guangyi Cao, Kushal Datta, Vinay Vijendra Kumar Lakshmi, Arun Ravindran, Rohith Tenneti
Publikováno v:
Journal of Low Power Electronics and Applications
Volume 2
Issue 1
Pages 30-68
Journal of Low Power Electronics and Applications, Vol 2, Iss 1, Pp 30-68 (2012)
Volume 2
Issue 1
Pages 30-68
Journal of Low Power Electronics and Applications, Vol 2, Iss 1, Pp 30-68 (2012)
Despite the promising performance improvement observed in emerging many-core architectures in high performance processors, high power consumption prohibitively affects their use and marketability in the low-energy sectors, such as embedded processors
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 2:219-241
We present an automated design flow for minimizing the use of diodes and switches (active devices) in design implementations on a nanofabric based on chemically self-assembled electronic nanotechnology as proposed in Goldstein and Budiu [2001]. Conne
Publikováno v:
Euro-Par 2013 Parallel Processing ISBN: 9783642400469
Euro-Par
Euro-Par
MapReduce has emerged as a very popular programming model for large-scale data analytics. Despite its industry-wide acceptance, the open source ApacheTM HadoopTM framework for MapReduce remains difficult to optimize, particularly in large-scale produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c9a949caed3e5fa5581d563eac5c66
https://doi.org/10.1007/978-3-642-40047-6_42
https://doi.org/10.1007/978-3-642-40047-6_42
Publikováno v:
Green Computing Middleware on Proceedings of the 2nd International Workshop.
Energy efficiency has become the center of attention in emerging data center infrastructures as increasing energy costs continue to outgrow all other operating expenditures. In this work we investigate energy aware scheduling heuristics to increase t
Publikováno v:
Embedded Multi-Core Systems ISBN: 9781439811610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e277b3ee4f7c19e2e192336749dd005b
https://doi.org/10.1201/9781439811627-c10
https://doi.org/10.1201/9781439811627-c10
Publikováno v:
IEEE Southeastcon 2009.
The new generation of shared memory multi-core processors with multiple parallel execution paths provides a promising hardware platform for applications with high degree of task-level parallelism (TLP). Genetic Algorithm (GA), a widely-used evolution