Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Zhizhen Zhong"'
Publikováno v:
IEEE Access, Vol 7, Pp 56753-56759 (2019)
In future optical satellite networks with various service requirements, the bandwidth of a single traffic request occupies part of an inter-satellite link (ISL) channel capacity, thus leading to a greater demand for flexible resource allocation. The
Externí odkaz:
https://doaj.org/article/f566c3fa811243de9607c9da420b0ba7
Autor:
Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr-Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk Englund
Publikováno v:
Science. 378:270-276
Advances in deep neural networks (DNNs) are transforming science and technology. However, the increasing computational demands of the most powerful DNNs limit deployment on low-power devices, such as smartphones and sensors – and this trend is acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df8438dffca626eeadef5957b7eba89
https://doi.org/10.1126/science.abq8271
https://doi.org/10.1126/science.abq8271
Autor:
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk Englund
Publikováno v:
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce1d651c5bece07a42ed5f982c3ee231
https://doi.org/10.23919/oecc/psc53152.2022.9850215
https://doi.org/10.23919/oecc/psc53152.2022.9850215
Autor:
Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk Englund
Publikováno v:
Optical Fiber Communication Conference (OFC) 2022.
We present experimental demonstrations of ultra-low power edge computing enabled by wavelength division multiplexed optical links and time-integrating optical receivers. Initial experimentation demonstrations show ≲ 10 fJ of optical energy per MAC.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dabac4010f32804dd70459512896dd6a
https://doi.org/10.1364/ofc.2022.th3a.3
https://doi.org/10.1364/ofc.2022.th3a.3
Autor:
Alexander Sludds, Ryan Hamerly, Weiyang Wang, Dirk Englund, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi
Publikováno v:
OptSys@SIGCOMM
We present In-network Optical Inference (IOI), a system providing low-latency machine learning inference by leveraging programmable switches and optical matrix multiplication. IOI consists of a novel transceiver module designed specifically to perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2becc013d42f2ff0d4d1721f0b2aceb6
https://doi.org/10.1145/3473938.3474508
https://doi.org/10.1145/3473938.3474508
Publikováno v:
SIGCOMM
SIGCOMM '21
SIGCOMM '21
Fiber cut events reduce the capacity of wide-area networks (WANs) by several Tbps. In this paper, we revive the lost capacity by reconfiguring the wavelengths from cut fibers into healthy fibers. We highlight two challenges that made prior solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2a4ae23cb9e3d4a5fa4af613d8fc23
https://doi.org/10.1145/3452296.3472921
https://doi.org/10.1145/3452296.3472921
Publikováno v:
IEEE Access, Vol 7, Pp 56753-56759 (2019)
In future optical satellite networks with various service requirements, the bandwidth of a single traffic request occupies part of an inter-satellite link (ISL) channel capacity, thus leading to a greater demand for flexible resource allocation. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9652d61d6ca7feaee9268618a194824e
https://doi.org/10.1109/access.2019.2913441
https://doi.org/10.1109/access.2019.2913441
Autor:
Sludds, Alexander, Bandyopadhyay, Saumil, Zaijun Chen, Zhizhen Zhong, Cochrane, Jared, Bernstein, Liane, Bunandar, Darius, Dixon, P. Ben, Hamilton, Scott A., Streshinsky, Matthew, Novack, Ari, Baehr-Jones, Tom, Hochberg, Michael, Ghobadi, Manya, Hamerly, Ryan, Englund, Dirk
Publikováno v:
Science; 10/21/2022, Vol. 378 Issue 6617, p270-276, 7p, 2 Color Photographs, 4 Diagrams, 1 Chart
BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration
Autor:
Sanjeevkumar Katti, Mark McKillop, Jonathan Leach, Manya Ghobadi, Ying Zhang, Maximilian Balandat, Zhizhen Zhong, Abbas Kazerouni
Publikováno v:
Optical Fiber Communication Conference (OFC) 2021.
We demonstrate a practical Bayesian Optimization system for wavelength reconfiguration at Facebook backbone. Our system uses a firewall for safe deployment. It is open-source, compatible with any vendor, and achieves 4.76× faster wavelength reconfig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23c22ac53e3f96b1bea67719f956418a
https://doi.org/10.1364/ofc.2021.f3b.1
https://doi.org/10.1364/ofc.2021.f3b.1
Publikováno v:
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation. 44(3)
Wireless technology has been widely used in medical devices and has brought convenience to medical care. However, wireless medical devices face risks such as data security and radio frequency interference. This study highlights safety and effectivene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a795162da6c0662fe6aa66dea2b8ba83
https://pubmed.ncbi.nlm.nih.gov/32621437
https://pubmed.ncbi.nlm.nih.gov/32621437