Zobrazeno 1 - 10
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pro vyhledávání: '"Roger Moussalli"'
Autor:
Roger Moussalli
Publikováno v:
ICDE
General purpose processors have traditionally been favored over application-specific architectures due to the provided flexibility, standardized and simpler programming model, as well as significant reduction in development time. Fueled by the steady
Publikováno v:
FCCM
As location sensing devices are becoming ubiquitous, overwhelming amounts of data are being produced by the Internet-of-Things-That-Move. Though analyzing this data presents significant business opportunities, new techniques are needed to attain adeq
Publikováno v:
FCCM
Insights extracted from spatial queries in geodatabase systems introduce significant opportunities for business intelligence. However, geodatabases are unable to keep up with the required performance due to the massive (and sky-rocketing) amounts of
Publikováno v:
GeoInformatica, vol 19, iss 2
Moussalli, R; Absalyamov, I; Vieira, MR; Najjar, W; & Tsotras, VJ. (2015). High performance FPGA and GPU complex pattern matching over spatio-temporal streams. GeoInformatica, 19(2), 405-434. doi: 10.1007/s10707-014-0217-3. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/38b6m2rp
Moussalli, R; Absalyamov, I; Vieira, MR; Najjar, W; & Tsotras, VJ. (2014). High performance FPGA and GPU complex pattern matching over spatio-temporal streams. GeoInformatica. doi: 10.1007/s10707-014-0217-3. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/98d401z2
Moussalli, R; Absalyamov, I; Vieira, MR; Najjar, W; & Tsotras, VJ. (2015). High performance FPGA and GPU complex pattern matching over spatio-temporal streams. GeoInformatica, 19(2), 405-434. doi: 10.1007/s10707-014-0217-3. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/38b6m2rp
Moussalli, R; Absalyamov, I; Vieira, MR; Najjar, W; & Tsotras, VJ. (2014). High performance FPGA and GPU complex pattern matching over spatio-temporal streams. GeoInformatica. doi: 10.1007/s10707-014-0217-3. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/98d401z2
© 2014, Springer Science+Business Media New York. The wide and increasing availability of collected data in the form of trajectories has led to research advances in behavioral aspects of the monitored subjects (e.g., wild animals, people, and vehicl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ffa45ef17c24c54f1ad7f575dd1e7c4
https://escholarship.org/uc/item/38b6m2rp
https://escholarship.org/uc/item/38b6m2rp
Autor:
Rathinakumar Appuswamy, Roger Moussalli, Rajit Manohar, Emmett McQuinn, Andrew S. Cassidy, Christian W. Baks, Paul A. Merolla, Filipp Akopyan, John V. Arthur, Myron D. Flickner, Scott Lekuch, Michael Mastro, Brian Taba, Don Nguyen, Yutaka Nakamura, Sameh W. Asaad, Rodrigo Alvarez-Icaza, C. Haymes, Ken Inoue, Arnon Amir, Marc Gonzalez Tallada, Alexander Andreopoulos, Kai Schleupen, Steve Millman, Daniel Friedman, Steven K. Esser, Jeff Kusnitz, Jun Sawada, Ivan Vo, Bryan L. Jackson, Nabil Imam, Chen Guok, Charles Edwin Cox, Pallab Datta, Bernard Brezzo, Ralph Bellofatto, Dharmendra S. Modha, William P. Risk
Publikováno v:
SC
Drawing on neuroscience, we have developed a parallel, event-driven kernel for neurosynaptic computation, that is efficient with respect to computation, memory, and communication. Building on the previously demonstrated highly optimized software expr
Publikováno v:
ACM Transactions on Embedded Computing Systems, vol 13, iss 4
Moussalli, R; Salloum, M; Halstead, R; Najjar, W; & Tsotras, VJ. (2014). A study on parallelizing XML path filtering using accelerators. ACM Transactions on Embedded Computing Systems (TECS), 13, 93-93. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/4gg465gk
Moussalli, R; Salloum, M; Halstead, R; Najjar, W; & Tsotras, VJ. (2014). A study on parallelizing XML path filtering using accelerators. ACM Transactions on Embedded Computing Systems, 13(4). doi: 10.1145/2560040. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/0kj1821d
Moussalli, R; Salloum, M; Halstead, R; Najjar, W; & Tsotras, VJ. (2014). A study on parallelizing XML path filtering using accelerators. ACM Transactions on Embedded Computing Systems (TECS), 13, 93-93. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/4gg465gk
Moussalli, R; Salloum, M; Halstead, R; Najjar, W; & Tsotras, VJ. (2014). A study on parallelizing XML path filtering using accelerators. ACM Transactions on Embedded Computing Systems, 13(4). doi: 10.1145/2560040. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/0kj1821d
Publish-subscribe systems present the state of the art in information dissemination to multiple users. Such systems have evolved from simple topic-based to the current XML-based systems. XML-based pub-sub systems provide users with more flexibility b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709940f7cb540f72ed49bf91e2d21d79
https://escholarship.org/uc/item/0kj1821d
https://escholarship.org/uc/item/0kj1821d
Publikováno v:
GlobalSIP
The low latency and high throughput requirements of high-frequency trading has resulted in increasing adoption of dedicated hardware for processing financial feeds. Development of hardware platforms, however, is plagued with slow design/verification
Publikováno v:
FCCM
Integer compression techniques can generally be classified as bit-wise and byte-wise approaches. Though at the cost of a larger processing time, bit-wise techniques typically result in a better compression ratio. The Golomb-Rice (GR) method is a bit-
Publikováno v:
Advances in Spatial and Temporal Databases ISBN: 9783642402340
SSTD
SSTD
The wide and increasing availability of collected data in the form of trajectory has lead to research advances in behavioral aspects of the monitored subjects (e.g., wild animals, people, vehicles). Using trajectory data harvested by devices, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd41cf8e14d1720fcc1393bd6cd64423
https://doi.org/10.1007/978-3-642-40235-7_12
https://doi.org/10.1007/978-3-642-40235-7_12
Publikováno v:
FCCM
Traditional approaches to evaluating a system's vulnerability to Single Event Upsets (SEUs) require elaborate and costly radiation beam testing or time-consuming simulation. While beam testing represents definitive evidence of a processor's susceptib