Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hasan Genc"'
Publikováno v:
Acta Botânica Brasílica, Vol 37 (2023)
ABSTRACT Lathyrus is an economically important genus, with different parts of some species used as foodstuff or animal feed. In this study, phytochemical compositions and bioactivities of Lathyrus brachypterus var. brachypterus, L. brachypterus var.
Externí odkaz:
https://doaj.org/article/2398e0bf532b4c7cbffee10b60bf3ec9
Publikováno v:
Brazilian Journal of Pharmaceutical Sciences, Vol 58 (2022)
Abstract The present study was conducted to assess the phenolic content, and antibacterial and antioxidant activities of Lathyrus L. species. The extraction of phenolic compounds from whole seeds, seed coat and cotyledon of Lathyrus hierosolymitanus
Externí odkaz:
https://doaj.org/article/4bda732cc3b04332928e0bc44f07ed66
Publikováno v:
Acta Crystallographica Section E: Crystallographic Communications, Vol 74, Iss 11, Pp 1674-1677 (2018)
In the title compound, C13H14N4O·2H2O, the organic molecule is almost planar. In the crystal, the molecules are linked by O—H...O, N—H...O and O—H...N hydrogen bonds, forming a two-dimensional network parallel to (10\overline{1}). Hirshfeld su
Externí odkaz:
https://doaj.org/article/99297b15681d4f24b3d8cf93c904df4f
Autor:
Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanović, Borivoje Nikolić, Yakun Sophia Shao
Driven by the wide adoption of deep neural networks (DNNs) across different application domains, multi-tenancy execution, where multiple DNNs are deployed simultaneously on the same hardware, has been proposed to satisfy the latency requirements of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19dcbd3b845c42927263ba4180db97dc
Autor:
Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi
Publikováno v:
ACM Transactions on Computer Systems. 39:1-44
Autonomous and mobile cyber-physical machines are becoming an inevitable part of our future. In particular, Micro Aerial Vehicles (MAVs) have seen a resurgence in activity. With multiple use cases, such as surveillance, search and rescue, package del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30d2b54cd448ab95c2ed2130b12fdf2e
https://doi.org/10.1145/3511210
https://doi.org/10.1145/3511210
Publikováno v:
Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee381625e7bf9727da8ff9cc835b69c
https://doi.org/10.1145/3519939.3523446
https://doi.org/10.1145/3519939.3523446
Autor:
Krste Asanovic, Ayan Biswas, Borivoje Nikolic, Ben Korpan, Larry Abramowitz, Sirisha Rani Kale, Mani Yalamanchi, Alon Amid, Elad Alon, Mark Flannigan, Farhana Sheikh, Anton Sorokin, Ramya Yarlagadda, Jerry Zhao, Yakun Sophia Shao, Colin Schmidt, Abraham Gonzalez, John Wright, Hasan Genc
Publikováno v:
ESSCIRC
This work presents a 16mm2 heterogeneous RISC-V system-on-a-chip (SoC) composed of a high-performance out-of-order core, energy-efficient in-order core, data-parallel vector accelerator, and systolic array deep neural network (DNN) accelerator in low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c558130c6da354facd010cf495c89f3a
https://doi.org/10.1109/esscirc53450.2021.9567768
https://doi.org/10.1109/esscirc53450.2021.9567768
Publikováno v:
IEEE Micro. 38:31-40
There is growing interest in object detection in advanced driver assistance systems and autonomous robots and vehicles. To enable such innovative systems, we need faster object detection. In this work, we investigate the trade-off between accuracy an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2acc61efa23b1ae423d8bff920b7fb0e
https://doi.org/10.1109/mm.2018.112130335
https://doi.org/10.1109/mm.2018.112130335
Publikováno v:
IEEE Micro. 37:40-51
The Internet of Things (IoT) is rapidly enabling applications in many different fields by embedding itself into the physical world. Many potential IoT devices require some level of machine learning or cognitive capability to be truly effective, but t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::137faaff7101798035404b1c9903fd2a
https://doi.org/10.1109/mm.2017.4241339
https://doi.org/10.1109/mm.2017.4241339
Autor:
Harrison Liew, Albert Ou, Ameer Haj-Ali, Seah Kim, Samuel Steffl, Yakun Sophia Shao, Hasan Genc, Alon Amid, Colin Schmidt, Krste Asanovic, Borivoje Nikolic, Daniel Grubb, Howard Mao, Jonathan Ragan-Kelley, Jerry Zhao, Ion Stoica, Vighnesh Iyer, Pranav Prakash, John Wright
Publikováno v:
DAC
DNN accelerators are often developed and evaluated in isolation without considering the cross-stack, system-level effects in real-world environments. This makes it difficult to appreciate the impact of System-on-Chip (SoC) resource contention, OS ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f85ec175d98c562b500c6b7dbc1e9b1
http://arxiv.org/abs/1911.09925
http://arxiv.org/abs/1911.09925