Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Muhammed Al Kadi"'
Autor:
Hector Gerardo Munoz Hernandez, Florian Fricke, Muhammed Al Kadi, Marc Reichenbach, Michael Hubner
Publikováno v:
2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI).
Autor:
Markus Wintermantel, Florian Engels, Philipp Heidenreich, Muhammed Al Kadi, Abdelhak M. Zoubir, Lukas Stäcker
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 15:865-878
Automotive radar is used in many applications of advanced driver assistance systems and is considered as one of the key technologies for highly automated driving. An overview of state-of-the-art signal processing in automotive radar is presented alon
Autor:
Muhammed Al Kadi, Michael Hübner, Hector Gerardo Munoz Hernandez, Paolo Rech, Mitko Veleski, Marcelo Brandalero
Publikováno v:
IPDPS Workshops
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 11:1-22
Using field-programmable gate arrays (FPGAs) as a substrate to deploy soft graphics processing units (GPUs) would enable offering the FPGA compute power in a very flexible GPU-like tool flow. Application-specific adaptations like selective hardening
Autor:
Michael Hübner, Fynn Schwiegelshohn, Muhammed Al Kadi, Philipp Wehner, Diana Gohringer, Philipp Smoluk
Publikováno v:
Technologien für die intelligente Automation ISBN: 9783662552315
This paper presents an acceleration method for an image processing algorithm from the RADIO EU project. The algorithm was profiled and the compute intensive tasks were then mapped on programmable hardware. The accelerator design was done with Vivado
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d32d432152a66df8f16ca867eca25fb6
https://doi.org/10.1007/978-3-662-55232-2_18
https://doi.org/10.1007/978-3-662-55232-2_18
Publikováno v:
ISVLSI
This paper presents a new tool flow to realize algorithms in floating-point precision on FPGAs. A customizable multicore soft GPU architecture is used on the hardware side. Two solutions to perform floating-point arithmetic in IEEE-754 single precisi
Autor:
Muhammed Al Kadi, Michael Huebner
Publikováno v:
FPT
This paper explores the capabilities and limitations of soft GPGPU-based computing on fixed-point arithmetic. The work is based on an existing soft GPU architecture which has been improved and extended to cover broader benchmarks. A generic ALU desig
Publikováno v:
FPGA
Driven by its high flexibility, good performance and energy efficiency, GPGPU has taken on an increasingly important role in embedded systems. In this paper, we present the basic core of FGPU: a GPU-like, scalable and portable integer soft SIMT-proce
Autor:
Ana Lucia Varbanescu, Amit Kulkarni, Dirk Stroobandt, Andreas Brokalakis, Tobias Becker, Wayne Luk, Xinyu Niu, Michael Huebner, Antonis Nikitakis, Elias Vansteenkiste, Muhammed Al Kadi, Donatella Sciuto, Tim Todman, Dionisios Pnevmatikatos, Alex J. W. Thom, George Charitopoulos, Marco D. Santambrogio, Georgi Gaydadjiev, Catalin Bogdan Ciobanu
Publikováno v:
2016 11TH INTERNATIONAL SYMPOSIUM ON RECONFIGURABLE COMMUNICATION-CENTRIC SYSTEMS-ON-CHIP (RECOSOC)
ReCoSoC 2016
ReCoSoC
2016 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)
ReCoSoC 2016
ReCoSoC
2016 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)
© 2016 IEEE. To handle the stringent performance requirements of future exascale-class applications, High Performance Computing (HPC) systems need ultra-efficient heterogeneous compute nodes. To reduce power and increase performance, such compute no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c6b8b9a8fc28bf860ca33f85e51162
https://hdl.handle.net/1854/LU-8059925
https://hdl.handle.net/1854/LU-8059925
Autor:
Marco D. Santambrogio, Antonis Nikitakis, Muhammed Al Kadi, Michael Huebner, Xinyu Niu, Elias Vansteenkiste, Catalin Bogdan Ciobanu, Ana Lucia Varbanescu, Dionisios Pnevmatikatos, Georgi Gaydadjiev, Alex J. W. Thom, Donatella Sciuto, George Charitopoulos, Tobias Becker, Dirk Stroobandt, Andreas Brokalakis, Wayne Luk
Publikováno v:
CSE
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE)
2015 IEEE 18th International Conference on Computational Science and Engineering
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE)
2015 IEEE 18th International Conference on Computational Science and Engineering
To handle the stringent performance requirements of future exascale-class applications, High Performance Computing (HPC) systems need ultra-efficient heterogeneous compute nodes. To reduce power and increase performance, such compute nodes will requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad6ed56d3fd0b9623029b9a0df6ad49
http://hdl.handle.net/11311/986777
http://hdl.handle.net/11311/986777