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LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

B. Salami, K. Parasyris, A. Cristal, O. Unsal, X. Martorell, P. Carpenter, R. de la Cruz, L. Bautista-Gomez, D. Jiménez, C. Álvarez, S. Nabavi, S. Madonar, M. Pericàs, P. Trancoso, M. Abduljabbar, J. Chen, P. Soomro, M. Manivannan, M. vor dem Berge, S. Krupop, F. Klawonn, A. Mekhlafi, S. May, T. Becker, G. Gaydadjiev, D. Ödman, H. Salomonsson, D. Dubhashi, O. Port, Y. Etsion, D. Quoc, C. Fetzer, M. Kaiser, N. Kucza, J. Hagemeyer, R. Griessl, L. Tigges, K. Mika, A. Hüffmeier, T. Jungeblu, M. Pasin, V. Schiavoni, I. Rocha, C. Göttel, and P. Felber. CoRR, (2019)

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Maysam Salami

Behzad Abrar

Behzad Nashat

Behzad Alafzadeh

Faramarz Behzad

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Accelerating Hash-Based Query Processing Operations on FPGAs by a Hash Table Caching Technique.B. Salami, O. Arcas-Abella, N. Sönmez, O. Unsal, and A. Kestelman. CARLA, volume 697 of Communications in Computer and Information Science, page 131-145. (2016)Demonstrating Reduced-Voltage FPGA-Based Neural Network Acceleration for Power-Efficiency.E. Onural, I. Yuksel, and B. Salami. FPL, page 371. IEEE, (2020)AxleDB: A novel programmable query processing platform on FPGA.B. Salami, G. Malazgirt, O. Arcas-Abella, A. Yurdakul, and N. Sönmez. Microprocess. Microsystems, (2017)MoRS: An Approximate Fault Modeling Framework for Reduced-Voltage SRAMs.I. Yüksel, B. Salami, O. Ergin, O. Unsal, and A. Kestelman. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (6): 1663-1673 (2022)Can We Trust Undervolting in FPGA-Based Deep Learning Designs at Harsh Conditions?F. Koc, B. Salami, O. Ergin, O. Unsal, and A. Kestelman. IEEE Micro, 42 (3): 57-65 (2022)A Demo of FPGA Aggressive Voltage Downscaling: Power and Reliability Tradeoffs.B. Salami, O. Ünsal, and A. Cristal. FPL, page 451-452. IEEE Computer Society, (2018)LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.B. Salami, K. Parasyris, A. Cristal, O. Unsal, X. Martorell, P. Carpenter, R. de la Cruz, L. Bautista-Gomez, D. Jiménez, C. Álvarez and 33 other author(s). DATE, page 169-174. IEEE, (2020)Makinote: An FPGA-Based HW/SW Platform for Pre-Silicon Emulation of RISC-V Designs.E. Perdomo, A. Kropotov, F. Ladino, S. Zafar, T. Cervero, X. Bofill, and B. Salami. RAPIDO@HiPEAC, page 29-34. ACM, (2024)A multi-bitwatermark generation algorithm with properties of error correction.B. Salami, and C. Obimbo. Communication, Network, and Information Security, page 44-49. IASTED/ACTA Press, (2006)LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.B. Salami, K. Parasyris, A. Cristal, O. Unsal, X. Martorell, P. Carpenter, R. de la Cruz, L. Bautista-Gomez, D. Jiménez, C. Álvarez and 35 other author(s). CoRR, (2019)

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Disambiguation of "Salami, Behzad"

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LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

Please choose a person to relate this publication to

Maysam Salami

Behzad Abrar

Behzad Nashat

Behzad Alafzadeh

Faramarz Behzad

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Salami, Behzad"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

Please choose a person to relate this publication to

Maysam Salami

Behzad Abrar

Behzad Nashat

Behzad Alafzadeh

Faramarz Behzad

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.