Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Wenisch, Thomas F"'
Publikováno v:
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE 2019), 1466-1477
Querying the content of images, video, and other non-textual data sources requires expensive content extraction methods. Modern extraction techniques are based on deep convolutional neural networks (CNNs) and can classify objects within images with a
Externí odkaz:
http://arxiv.org/abs/1806.04226
Information and communications technology can continue to change our world. These advances will partially depend upon designs that synergistically combine software with specialized hardware. Today open-source software incubates rapid software-only in
Externí odkaz:
http://arxiv.org/abs/1706.08597
Network latencies have become increasingly important for the performance of web servers and cloud computing platforms. Identifying network-related tail latencies and reasoning about their potential causes is especially important to gauge application
Externí odkaz:
http://arxiv.org/abs/1701.03100
Application trends, device technologies and the architecture of systems drive progress in information technologies. However, the former engines of such progress - Moore's Law and Dennard Scaling - are rapidly reaching the point of diminishing returns
Externí odkaz:
http://arxiv.org/abs/1612.03182
Autor:
Hill, Mark D., Adve, Sarita, Ceze, Luis, Irwin, Mary Jane, Kaeli, David, Martonosi, Margaret, Torrellas, Josep, Wenisch, Thomas F., Wood, David, Yelick, Katherine
Because most technology and computer architecture innovations were (intentionally) invisible to higher layers, application and other software developers could reap the benefits of this progress without engaging in it. Higher performance has both made
Externí odkaz:
http://arxiv.org/abs/1609.06756
Autor:
Jintamethasawat, Rungroj, Lee, Won-Mean, Carson, Paul L., Hooi, Fong Ming, Fowlkes, J. Brian, Goodsitt, Mitchell M., Sampson, Richard, Wenisch, Thomas F., Wei, Siyuan, Zhou, Jian, Chakrabarti, Chaitali, Kripfgans, Oliver D.
Publikováno v:
In Ultrasonics August 2018 88:174-184
Autor:
Shao, Lei, Raghavan, Arun, Kim, Gun-Ho, Emurian, Laurel, Rosen, Jeffrey, Papaefthymiou, Marios C., Wenisch, Thomas F., Martin, Milo M.K., Pipe, Kevin P.
Publikováno v:
In International Journal of Heat and Mass Transfer October 2016 101:764-771
Akademický článek
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This book introduces readers to emerging persistent memory (PM) technologies that promise the performance of dynamic random-access memory (DRAM) with the durability of traditional storage media, such as hard disks and solid-state drives (SSDs). Persi
Akademický článek
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