Výsledky vyhledávání

Lossless Look-Up Table Compression for Hardware Implementation of Transcendental Functions

Autor: Gener, Y.S., Goren, S., Ugurdag, H.F.

Look-Up Table (LUT) implementation of transcendental functions often offers lower latency compared to algebraic implementations at the expense of significant area penalty. MultiPartite table method (MP) can circumvent the area problem by breaking up

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10007::5c44d10023b0f2887ea77b48c2d583cb
https://hdl.handle.net/20.500.11831/1570

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SecChisel framework for security verification of secure processor architectures

Autor: Deng, S., Gümüşoglu, D., Xiong, W., Sari, S., Gener, Y.S., Lu, C., Szefer, J.

This work presents a design-time security verification framework for secure processor architectures. Our new SecChisel framework is built upon the Chisel hardware construction language and tools, and uses information flow analysis to verify the secur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10007::f748a1bcd07c379b024615748595cddf
https://hdl.handle.net/20.500.11831/7300

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Hardware division by small integer constants

Autor: Ugurdag, H.F., De Dinechin, F., Gener, Y.S., Goren, S., Didier, L.-S.

This article studies the design of custom circuits for division by a small positive constant. Such circuits can be useful for specific FPGA and ASIC applications. The first problem studied is the Euclidean division of an unsigned integer by a constan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10007::f3b3b50a90fb5fb1803628630d8d0241
https://hdl.handle.net/20.500.11831/2374

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Conference

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Low-cost and low-power video filtering with parallel many cores

Autor: Abdullah Yildiz, Sezer Goren, Y. Serhan Gener

Publikováno v: 2015 9th International Conference on Electrical and Electronics Engineering (ELECO).

This report examines the advantages of low-cost many-core architectures over graphical processing units (GPU) for massively parallel applications. We show that graphical processing units (GPU) could be costly and power inefficient for workloads such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3a421ad8424c66abb569094fd25e640
https://doi.org/10.1109/eleco.2015.7394502

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