Muhammad Ali, M. Sc.

Research Assistant

Mr Muhammad Ali , M.Sc.

Short CV:

Muhammad Ali is a Ph.D. student and assistant researcher in Computer Science in the Adaptive Dynamic Systems (ADS) research group at Technische Universität Dresden, Germany, since July 2018. Before joining the research group, he studied Electrical Engineering at National University of Sciences and Technology, Islamabad, Pakistan, where he received his Bachelor’s degree in 2013. He completed his Master's degree in Embedded Systems from Technical University of Chemnitz in December 2017.

Research Interests:

His current research interests include RISC-V and ASIP for machine learning.

Publications:

11 Entries

2023

Unlocking the Potential of RISC-V Heterogeneous MPSoC: A PANACA-based Approach to Simulation and ModelingHaase, J., Ali, M. & Göhringer, D., Jul 2023, Embedded Computer Systems: Architectures, Modeling, and Simulation: 23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023, Proceedings. Silvano, C., Reichenbach, M. & Pilato, C. (eds.). Springer, Cham, p. 269–282, 14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2022

Application Specific Instruction-Set Processors for Machine Learning ApplicationsAli, M. & Gohringer, D., 2022, FPT 2022 - 21st International Conference on Field-Programmable Technology, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2021

A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAsKalms, L., Amini Rad, P., Ali, M., Iskander, A. & Göhringer, D., May 2021, In: Journal of Signal Processing Systems. 93, 5, p. 513-529, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
AITIA: Embedded AI Techniques for Embedded Industrial ApplicationsBrandalero, M., Veleski, M., Hernandez, H. G. M., Ali, M., Le Jeune, L., Goedemé, T., Mentens, N. & 6 others, 2021, Proceedings - 2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021. IEEE Xplore, p. 374-375, 2 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Power-Aware Computing Systems on FPGAs: A SurveyAkgün, G., Ali, M. & Göhringer, D., 2021, p. 45-51, 7 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
Vector processing unit: A RISC-V based SIMD Co-processor for Embedded ProcessingAli, M., Von Ameln, M. & Göhringer, D., 2021, p. 30-34, 5 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper

2020

AITIA: Embedded AI Techniques for Embedded Industrial ApplicationsBrandalero, M., Ali, M., Le Jeune, L., Hernandez, H. G. M., Veleski, M., da Silva, B., Lemeire, J. & 7 others, 2020, p. 1-7, 7 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
Domain Adaptive Processor ArchitecturesFricke, F., Mahmood, S., Hoffmann, J., Ali, M., Shahin, K., Hübner, M. & Göhringer, D., 2020, Kommunikation und Bildverarbeitung in der Automation. Neuerscheinung ed., Berlin, Heidelberg, Vol. 12. p. 315-330, 16 p.Research output: Contribution to book/conference proceedings/anthology/report > Chapter in book/Anthology/Report
RISC-V based MPSoC design exploration for FPGAs: area, power and performanceAli, M., Rad, P. A. & Göhringer, D., 2020, p. 193-207, 15 p.Research output: Contribution to conferences > Paper

2019

Modular Memory System for RISC-V Based MPSoCs on Xilinx FPGAsKamaleldin, A., Ali, M., Amini Rad, P., Gottschalk, M. & Göhringer, D., 2019, p. 68-73, 6 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper