Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ebrahim M. Songhori"'
Autor:
Jeffrey Dean, Richard Ho, William Hang, Roger Carpenter, Omkar Pathak, James Laudon, Kavya Srinivasa, Andy Tong, Ebrahim M. Songhori, Quoc V. Le, Joe Wenjie Jiang, Azade Nazi, Anna Goldie, Shen Wang, Azalia Mirhoseini, Young-Joon Lee, Eric Johnson, Jiwoo Pak, Emre Tuncer, Mustafa Yazgan
Publikováno v:
Nature. 594:207-212
Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f9ab9db4fbd3fe0eba364edde2c0dd
https://doi.org/10.1038/s41586-021-03544-w
https://doi.org/10.1038/s41586-021-03544-w
Autor:
Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama
Publikováno v:
Proceedings of the 2022 International Symposium on Physical Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530b9963375a9c9dcf4b7c53e6800eb2
https://doi.org/10.1145/3505170.3511478
https://doi.org/10.1145/3505170.3511478
Autor:
Anna Goldie, Ebrahim M. Songhori, Young-Joon Lee, David Z. Pan, Zixuan Jiang, Joe Jiang, Azalia Mirhoseini, Shen Wang
Publikováno v:
MLCAD
In physical design, human designers typically place macros via trial and error, which is a Markov decision process. Reinforcement learning (RL) methods have demonstrated superhuman performance on the macro placement. In this paper, we propose an exte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b4cf17087fd7900b65944d59621d5bc
http://arxiv.org/abs/2109.02587
http://arxiv.org/abs/2109.02587
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 29:2717-2730
This paper introduces RankMap, a platform-aware end-to-end framework for efficient execution of a broad class of iterative learning algorithms for massive and dense data sets. Our framework exploits data structure to scalably factorize it into an ens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc15ed4b4924aecefa2921670a4fc00
https://doi.org/10.1109/tnnls.2016.2631581
https://doi.org/10.1109/tnnls.2016.2631581
Autor:
Ebrahim M. Songhori, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider, M. Sadegh Riazi
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2017, Iss 1, Pp 62-78 (2017)
The Stable Matching (SM) algorithm has been deployed in many real-world scenarios including the National Residency Matching Program (NRMP) and financial applications such as matching of suppliers and consumers in capital markets. Since these applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ccc39df9efcebefadfb123fbdd39e3e
https://doaj.org/article/97c14edad6104a6fb6590de12f797429
https://doaj.org/article/97c14edad6104a6fb6590de12f797429
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 10:1-22
We propose SSketch, a novel automated framework for efficient analysis of dynamic big data with dense (non-sparse) correlation matrices on reconfigurable platforms. SSketch targets streaming applications where each data sample can be processed only o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f852a533e6743aaebbf2a1a19629fa
https://doi.org/10.1145/2974023
https://doi.org/10.1145/2974023
Publikováno v:
IEEE Transactions on Multi-Scale Computing Systems. 2:277-290
We develop Chime , a set of mechanisms and methodologies that enable long-running computations on low power IoT devices with scarce and intermittent energy sources. We address the power transiency and unpredictability problem by optimally inserting c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0cc23f29f38477f9ba4f2b703aee82
https://doi.org/10.1109/tmscs.2016.2550442
https://doi.org/10.1109/tmscs.2016.2550442
Autor:
Ahmad-Reza Sadeghi, Farinaz Koushanfar, Ebrahim M. Songhori, Siam U. Hussain, M. Sadegh Riazi
Publikováno v:
DAC
We present ARM2GC, a novel secure computation framework based on Yao's Garbled Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving applications using standard high-level programming languages (e.g., C) and compi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d223836f8657aeb686d70a33cf645283
Autor:
Farinaz Koushanfar, Oleksandr Tkachenko, Thomas Schneider, M. Sadegh Riazi, Christian Weinert, Ebrahim M. Songhori
Publikováno v:
AsiaCCS
We present Chameleon, a novel hybrid (mixed-protocol) framework for secure function evaluation (SFE) which enables two parties to jointly compute a function without disclosing their private inputs. Chameleon combines the best aspects of generic SFE p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2bdaba2c0d0a53e5d7e0a35fabedd8
http://arxiv.org/abs/1801.03239
http://arxiv.org/abs/1801.03239
Publikováno v:
DAC
We propose PriSearch, a provably secure methodology for two-party string search. The scenario involves two parties, Alice (holding a query string) and Bob (holding a text), who wish to perform a string search while keeping both the query and the text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe58369d8cf33327d6a8331d3eb1f1c
https://doi.org/10.1145/3061639.3062305
https://doi.org/10.1145/3061639.3062305