Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hassaan Saadat"'
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 4 (2022)
Field-programmable gate arrays (FPGAs) deployed on commercial cloud services are increasingly gaining popularity due to the cost and compute benefits offered by them. Recent studies have discovered security threats than can be launched remotely on FP
Externí odkaz:
https://doaj.org/article/5b7298cc986040c2a2c36945f72865dc
Autor:
David Taubman, Aous Naman, Michael Smith, Pierre-Anthony Lemieux, Hassaan Saadat, Osamu Watanabe, Reji Mathew
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
ITU-T Rec T.814 | IS 15444-15, known as High Throughput JPEG 2000, or simply HTJ2K, is Part-15 in the JPEG 2000 series of standards, published in 2019 by the ITU and ISO/IEC. JPEG 2000 Part-1 has long been used as a key component in the production, a
Externí odkaz:
https://doaj.org/article/5fa5e0b77d144726a0f28f302027b769
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 1 (2021)
On-chip sensors, built using reconfigurable logic resources in field programmable gate arrays (FPGAs), have been shown to sense variations in signalpropagation delay, supply voltage and power consumption. These sensors have been successfully used to
Externí odkaz:
https://doaj.org/article/16657395248b477b99a41900b96aaa32
Publikováno v:
IACR Transactions on Cryptographic Hardware and Embedded Systems. :589-613
Field-programmable gate arrays (FPGAs) deployed on commercial cloud services are increasingly gaining popularity due to the cost and compute benefits offered by them. Recent studies have discovered security threats than can be launched remotely on FP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb40a4d93038c02801ebfd8fb37692c
https://doi.org/10.46586/tches.v2022.i4.589-613
https://doi.org/10.46586/tches.v2022.i4.589-613
Autor:
Hasindu Gamaarachchi, Hiruna Samarakoon, Sasha P. Jenner, James M. Ferguson, Timothy G. Amos, Jillian M. Hammond, Hassaan Saadat, Martin A. Smith, Sri Parameswaran, Ira W. Deveson
Publikováno v:
Nature Biotechnology. 40:1026-1029
Nanopore sequencing depends on the FAST5 file format, which does not allow efficient parallel analysis. Here we introduce SLOW5, an alternative format engineered for efficient parallelization and acceleration of nanopore data analysis. Using the exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962420a2c1616b607a137ab464fa9666
https://doi.org/10.1038/s41587-021-01147-4
https://doi.org/10.1038/s41587-021-01147-4
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 1 (2021)
On-chip sensors, built using reconfigurable logic resources in field programmable gate arrays (FPGAs), have been shown to sense variations in signalpropagation delay, supply voltage and power consumption. These sensors have been successfully used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e203adfca9817641ce1649240c9d5149
https://doi.org/10.46586/tches.v2022.i1.657-678
https://doi.org/10.46586/tches.v2022.i1.657-678
Autor:
Jing Gong, Hassaan Saadat, Hasindu Gamaarachchi, Haris Javaid, Xiaobo Sharon Hu, Sri Parameswaran
Edge training of Deep Neural Networks (DNNs) is a desirable goal for continuous learning; however, it is hindered by the enormous computational power required by training. Hardware approximate multipliers have shown their effectiveness for gaining re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be294e203dad2af462b2705ac157fa1c
Autor:
Timothy G. Amos, James Ferguson, Hasindu Gamaarachchi, Hassaan Saadat, Sri Parameswaran, Hiruna Samarakoon, Ira W. Deveson, Jillian M. Hammond, Martin A. Smith, Sasha Jenner
Nanopore sequencing is an emerging genomic technology with great potential. However, the storage and analysis of nanopore sequencing data have become major bottlenecks preventing more widespread adoption in research and clinical genomics. Here, we el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dca5db18117038d43b9d78051d9807a4
https://doi.org/10.21203/rs.3.rs-668517/v1
https://doi.org/10.21203/rs.3.rs-668517/v1
Autor:
Hasindu Gamaarachchi, Hiruna Samarakoon, Sasha P. Jenner, James M. Ferguson, Timothy G. Amos, Jillian M. Hammond, Hassaan Saadat, Martin A. Smith, Sri Parameswaran, Ira W. Deveson
Nanopore sequencing is an emerging genomic technology with great potential. However, the storage and analysis of nanopore sequencing data have become major bottlenecks preventing more widespread adoption in research and clinical genomics. Here, we el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0d8da578609977aefb614a4d708a2c9
https://doi.org/10.1101/2021.06.29.450255
https://doi.org/10.1101/2021.06.29.450255
Autor:
Hasindu, Gamaarachchi, Hiruna, Samarakoon, Sasha P, Jenner, James M, Ferguson, Timothy G, Amos, Jillian M, Hammond, Hassaan, Saadat, Martin A, Smith, Sri, Parameswaran, Ira W, Deveson
Publikováno v:
Nature biotechnology. 40(7)
Nanopore sequencing depends on the FAST5 file format, which does not allow efficient parallel analysis. Here we introduce SLOW5, an alternative format engineered for efficient parallelization and acceleration of nanopore data analysis. Using the exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::575f24bdd7cdb007dd1b664742615ab4
https://pubmed.ncbi.nlm.nih.gov/34980914
https://pubmed.ncbi.nlm.nih.gov/34980914