Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mansureh S. Moghaddam"'
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 15:1-26
Modulo-scheduled course-grain reconfigurable array (CGRA) processors excel at exploiting loop-level parallelism at a high performance per watt ratio. The frequent reconfiguration of the array, however, causes between 25% and 45% of the consumed chip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b1c2ed1a26a50649f2c5647cecef10
https://doi.org/10.1145/3162018
https://doi.org/10.1145/3162018
Publikováno v:
Design Automation for Embedded Systems. 21:173-194
This paper addresses the problem of mapping tasks onto an FPGA-based many-core platform where the cores typically have a limited amount of memory and thus should be frequently overlaid with a small program block that implements a task. In this regard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e7e4d41ccfd655bd37dfa31520e471c
https://doi.org/10.1007/s10617-017-9193-9
https://doi.org/10.1007/s10617-017-9193-9
Autor:
Barend Harris, Mansureh S. Moghaddam, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, Kiyoung Choi
Publikováno v:
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048eef4bb56b7b75d83cc77d9028b001
https://doi.org/10.1109/aspdac.2018.8297379
https://doi.org/10.1109/aspdac.2018.8297379
Publikováno v:
FPT
There has been a body of research to use stochastic computing (SC) for the implementation of neural networks, in the hope that it will reduce the area cost and energy consumption. However, no working neural network system based on stochastic computin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ce975b796e248823fb2f4818ed9f22
https://doi.org/10.1109/fpt.2017.8280162
https://doi.org/10.1109/fpt.2017.8280162
Autor:
Kiyoung Choi, Hyemi Min, Sukjin Kim, Mansureh S. Moghaddam, Barend Harris, Soonhoi Ha, Duseok Kang, Inpyo Bae, Euiseok Kim, Bernhard Egger, Hansu Cho
Publikováno v:
CASES
This paper presents a convolutional neural network architecture that supports transfer learning for user customization. The architecture consists of a large basic inference engine and a small augmenting engine. Initially, both engines are trained usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::423e322ef8c985a90a6eb1af7daabb28
https://doi.org/10.1145/3125501.3125519
https://doi.org/10.1145/3125501.3125519
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319162133
ARC
ARC
This paper addresses an optimal mapping approach which also exploits the partial reconfiguration property of modern CGRAs. Hence this approach is not only suitable for applications which can be accommodated on the available grains but also for larger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ef7f8e4147cab612d3a787c23d49cd
https://doi.org/10.1007/978-3-319-16214-0_33
https://doi.org/10.1007/978-3-319-16214-0_33
Publikováno v:
2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c44506c830ae44bb08b17a0fc07520
https://doi.org/10.1109/fccm.2014.20
https://doi.org/10.1109/fccm.2014.20
Publikováno v:
IPDPS Workshops
Programmable hardware built on a regular architecture can be used to address the challenges associated with using many fixed core architectures for applications which have varying compute power requirements during the lifetime of execution. The fine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f76c0ac47ef3b9705446b3839f92d4
https://doi.org/10.1109/ipdpsw.2013.121
https://doi.org/10.1109/ipdpsw.2013.121
Publikováno v:
DSD
Programmable hardware built on a regular architecture can partially alleviate the problem of increased defect densities associated with transistor scaling by dynamically wiring around the defects~\cite{Paul2006}. The fine granularity of FPGAs is howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8da32730720902435c20369d675fcf
https://doi.org/10.1109/dsd.2012.111
https://doi.org/10.1109/dsd.2012.111