Muhammad Ali, M. Sc.

Wissenschaftlicher Mitarbeiter

Herr 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 the Technical University in Dresden(TUD), 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 Einträge

2023

Unlocking the Potential of RISC-V Heterogeneous MPSoC: A PANACA-based Approach to Simulation and ModelingHaase, J., Ali, M. & Göhringer, D., Juli 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. (Hrsg.). Springer, Cham, S. 269–282, 14 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband

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 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband

2021

A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAsKalms, L., Amini Rad, P., Ali, M., Iskander, A. & Göhringer, D., Mai 2021, in: Journal of Signal Processing Systems. 93, 5, S. 513-529, 17 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Forschungsartikel
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 weitere, 2021, Proceedings - 2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021. IEEE Xplore, S. 374-375, 2 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
Power-Aware Computing Systems on FPGAs: A SurveyAkgün, G., Ali, M. & Göhringer, D., 2021, S. 45-51, 7 S.Elektronische (Volltext-)VersionPublikation: Beitrag zu Konferenzen > Paper
Vector processing unit: A RISC-V based SIMD Co-processor for Embedded ProcessingAli, M., Von Ameln, M. & Göhringer, D., 2021, S. 30-34, 5 S.Elektronische (Volltext-)VersionPublikation: Beitrag zu Konferenzen > 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 weitere, 2020, S. 1-7, 7 S.Elektronische (Volltext-)VersionPublikation: Beitrag zu Konferenzen > 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 Aufl., Berlin, Heidelberg, Band 12. S. 315-330, 16 S.Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Buch/Sammelband/Gutachten
RISC-V based MPSoC design exploration for FPGAs: area, power and performanceAli, M., Rad, P. A. & Göhringer, D., 2020, S. 193-207, 15 S.Publikation: Beitrag zu Konferenzen > Paper

2019

Modular Memory System for RISC-V Based MPSoCs on Xilinx FPGAsKamaleldin, A., Ali, M., Amini Rad, P., Gottschalk, M. & Göhringer, D., 2019, S. 68-73, 6 S.Elektronische (Volltext-)VersionPublikation: Beitrag zu Konferenzen > Paper