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pro vyhledávání: '"Rashmi, K"'
Most large-scale storage systems employ erasure coding to provide resilience against disk failures. Recent work has shown that tuning this redundancy to changes in disk failure rates leads to substantial storage savings. This process requires code co
Externí odkaz:
http://arxiv.org/abs/2405.09010
Autor:
Rudow, Michael, Rashmi, K. V.
Real-time streaming communication requires a high quality of service despite contending with packet loss. Streaming codes are a class of codes best suited for this setting. A key challenge for streaming codes is that they operate in an "online" setti
Externí odkaz:
http://arxiv.org/abs/2205.08521
Autor:
Maturana, Francisco, Rashmi, K. V.
Distributed storage systems must store large amounts of data over long periods of time. To avoid data loss due to device failures, an $[n,k]$ erasure code is used to encode $k$ data symbols into a codeword of $n$ symbols that are stored across differ
Externí odkaz:
http://arxiv.org/abs/2205.06793
Autor:
Rashmi, K. M.1, Prabhu, T. M.1 prabhutmann@gmail.com, Patil, Vivek M.2, Madhusudhan, H. S.1, Soren, N. M.3, Giridhar, K. S.4, Pandey, Hemantkumar5
Publikováno v:
Indian Journal of Animal Research. Sep2024, Vol. 58 Issue 9, p1586-1592. 7p.
Autor:
Tong, Hao H., Creutzfeldt, Claire J., Hicks, Katherine G., Kross, Erin K., Sharma, Rashmi K., Jennerich, Ann L.
Publikováno v:
In Journal of Pain and Symptom Management May 2024 67(5):402-410
Autor:
Kosaian, Jack, Rashmi, K. V.
Neural networks (NNs) are increasingly employed in safety-critical domains and in environments prone to unreliability (e.g., soft errors), such as on spacecraft. Therefore, it is critical to impart fault tolerance to NN inference. Algorithm-based fau
Externí odkaz:
http://arxiv.org/abs/2104.09455
Deep-learning-based recommendation models (DLRMs) are widely deployed to serve personalized content to users. DLRMs are large in size due to their use of large embedding tables, and are trained by distributing the model across the memory of tens or h
Externí odkaz:
http://arxiv.org/abs/2104.01981
Autor:
Kadekodi, Saurabh, Maturana, Francisco, Subramanya, Suhas Jayaram, Yang, Juncheng, Rashmi, K. V., Ganger, Gregory R.
Publikováno v:
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020, (pp. 369-385)
Data redundancy provides resilience in large-scale storage clusters, but imposes significant cost overhead. Substantial space-savings can be realized by tuning redundancy schemes to observed disk failure rates. However, prior design proposals for suc
Externí odkaz:
http://arxiv.org/abs/2103.08191
Publikováno v:
In Internet of Things April 2024 25
Autor:
Alexandra L. Coria, Areej Hassan, Jui-Yen Huang, Katia C. Genadry, Rashmi K. Kumar, Ayten Sergios, Roseda E. Marshall, Christiana M. Russ
Publikováno v:
Human Resources for Health, Vol 21, Iss 1, Pp 1-10 (2023)
Abstract Background The World Federation for Medical Education (WFME) defines accreditation as 'certification of the suitability of medical education programs, and of…competence…in the delivery of medical education.' Accreditation bodies function
Externí odkaz:
https://doaj.org/article/4b3fa365d01645f7bbdf3de0d24b3737