Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abhinandan Majumdar"'
Autor:
Wei Huang, Leonardo Piga, Joseph L. Greathouse, Abhinandan Majumdar, Indrani Paul, David H. Albonesi
Publikováno v:
HPCA
Modern processors can greatly increase energy efficiency through techniques such as dynamic voltage and frequency scaling. Traditional predictive schemes are limited in their effectiveness by their inability to plan for the performance and energy cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e64655aea5e25b72e3827e7e10bb1de
https://doi.org/10.1109/hpca.2017.34
https://doi.org/10.1109/hpca.2017.34
Publikováno v:
2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85f05579b4df63e7eb5927094f11107
https://doi.org/10.1109/iccps.2016.7479070
https://doi.org/10.1109/iccps.2016.7479070
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 9:1-30
Applications that use learning and classification algorithms operate on large amounts of unstructured data, and have stringent performance constraints. For such applications, the performance of general purpose processors scales poorly with data size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::019b3d8063a8a705cdf4ad18a478d6a4
https://doi.org/10.1145/2133382.2133388
https://doi.org/10.1145/2133382.2133388
Publikováno v:
IEEE Embedded Systems Letters. 3:42-45
Embedded learning applications in automobiles, surveillance, robotics, and defense are computationally intensive, and process large amounts of real-time data. Systems for such workloads have to balance stringent performance constraints within limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::765ae3ac9a110e39b6271a77d2bedc91
https://doi.org/10.1109/les.2010.2100802
https://doi.org/10.1109/les.2010.2100802
Autor:
Kapil Dev, Leonardo Piga, Chip Freitag, Gene Wu, Wei Huang, Indrani Paul, Sooraj Puthoor, Arjun-Karthik Venugopal, Joseph L. Greathouse, Abhinandan Majumdar
Publikováno v:
IISWC
Graphics processing units (GPUs) range from small, embedded designs to large, high-powered discrete cards. While the performance of graphics workloads is generally understood, there has been little study of the performance of GPGPU applications acros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c25808bd2d6f644f0123a8c295bdbbbf
https://doi.org/10.1109/iiswc.2015.22
https://doi.org/10.1109/iiswc.2015.22
Publikováno v:
IGCC
Heating ventilation and air-conditioning (HVAC) systems consume a significant portion of the energy within buildings. Current HVAC control systems use simple fixed occupant schedules, while proposed energy optimization schemes do not consider past di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fde4443d7a886babc2cbfdb7720292d
https://doi.org/10.1109/igcc.2014.7039173
https://doi.org/10.1109/igcc.2014.7039173
Publikováno v:
BuildSys@SenSys
The increasing worldwide concern over the energy consumption of commercial buildings calls for new approaches that analyze scheduled occupant activities and proactively take steps to curb building energy use. As one step in this direction, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1533397c3fc3fa53af83a2217a28cb34
https://doi.org/10.1145/2422531.2422560
https://doi.org/10.1145/2422531.2422560
Publikováno v:
SASP
Semantic text analysis is a technique used in advertisement placement, cognitive databases and search engines. With increasing amounts of data and stringent response-time requirements, improving the underlying implementation of semantic analysis beco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d80b74ce12ae4669a7d838652622a95e
https://doi.org/10.1109/sasp.2011.5941090
https://doi.org/10.1109/sasp.2011.5941090
Publikováno v:
PACT
For learning and classification workloads that operate on large amounts of unstructured data with stringent performance constraints, general purpose processor performance scales poorly with data size. In this paper, we present a programmable accelera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::182a52d5ae3c1194dd7ef5ac041ddb3f
https://doi.org/10.1145/1854273.1854309
https://doi.org/10.1145/1854273.1854309