Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ravishankar Iyer"'
Autor:
Zachary D Stephens, Skylar Y Lee, Faraz Faghri, Roy H Campbell, Chengxiang Zhai, Miles J Efron, Ravishankar Iyer, Michael C Schatz, Saurabh Sinha, Gene E Robinson
Publikováno v:
PLoS Biology, Vol 13, Iss 7, p e1002195 (2015)
Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Bi
Externí odkaz:
https://doaj.org/article/403a28b9e2dd41e68aec177f7891fb3d
Autor:
Charles Eckert, Arun Subramaniyan, Xiaowei Wang, Charles Augustine, Ravishankar Iyer, Reetuparna Das
Publikováno v:
IEEE Transactions on Computers. 72:1539-1553
Autor:
Chang Hu, Ravishankar Iyer, Brian Juran, Bryan McCauley, Elizabeth Atkinson, John Eaton, Ahmad Ali, Konstantinos Lazaridis
Background: Primary sclerosing cholangitis (PSC) patients have a risk of developing cholangiocarcinoma (CCA). Establishing predictive models for CCA in PSC is important. Methods: In a large cohort of 1,459 PSC patients seen at Mayo Clinic (1993-2020)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cd242de7b1c34977e242fe213bbc6f3
https://doi.org/10.21203/rs.3.rs-2159551/v1
https://doi.org/10.21203/rs.3.rs-2159551/v1
Autor:
Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar Iyer
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Yogatheesan Varatharajah, Sujeeth Baradwaj, Atilla Kiraly, Diego Ardila, Ravishankar Iyer, Shravya Shetty, Kai Kohlhoff
Early detection of age-related diseases will greatly benefit from a model of the underlying biological aging process. In this paper, we develop a brain-age predictor by using structural magnetic resonance imaging (SMRI) and deep learning and evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb7ca2c12295514c3a09aaac47c7f52
https://doi.org/10.1101/497925
https://doi.org/10.1101/497925
Autor:
Ravishankar Iyer, Mahmut Kandemir, Adwait Jog, Onur Kayiran, Onur Mutlu, Chita R. Das, Ashutosh Pattnaik
Publikováno v:
SIGMETRICS
Modern memory access schedulers employed in GPUs typically optimize for memory throughput. They implicitly assume that all requests from different cores are equally important. However, we show that during the execution of a subset of CUDA application
Autor:
Onur Mutlu, Ravishankar Iyer, Chita R. Das, Onur Kayiran, Mahmut Kandemir, Asit K. Mishra, Nachiappan Chidambaram Nachiappan, Adwait Jog
Publikováno v:
ASPLOS
Emerging GPGPU architectures, along with programming models like CUDA and OpenCL, offer a cost-effective platform for many applications by providing high thread level parallelism at lower energy budgets. Unfortunately, for many general-purpose applic
Autor:
Ravishankar Iyer
Publikováno v:
IISWC
As sensing and computing have become ultra-low power and ubiquitous, we have entered an era of physical/digital convergence. This physical/digital convergence is bringing about new opportunities (usages) as well as challenges (end-to-end architecture
Publikováno v:
ACM Multimedia
Video summarization is a fertile topic in multimedia research. While the advent of modern video cameras and several social networking and video sharing websites (like YouTube, Flickr, Facebook) has led to the generation of humongous amounts of redund
Publikováno v:
ACM SIGOPS Operating Systems Review. 45:62-72
Almost all hardware platforms to date have been homogeneous with one or more identical processors managed by the operating system (OS). However, recently, it has been recognized that power constraints and the need for domain-specific high performance