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Muhammad Ali Master of Computer Science
Person

Affiliations

Chair of Adaptive Dynamic Systems
- Academic Staff
- muhammad.ali@tu-dresden.de

Identification Numbers

Scopus author ID	57214142455

Towards Complete Open-Source Environments: FPGA-Based GPU Overlay Controlled by RISC-V

Muñoz-Hernandez, H. G., Ali, M., Shahin, K., Siyavashi, A., Göhringer, D., Reichenbach, M. & Herglotz, C. & 1 others, Hübner, M., Oct 2025, (E-pub ahead of print) Architecture of Computing Systems - 38th International Conference, ARCS 2025, Proceedings. Tomforde, S., Krupitzer, C., Vialle, S., Suarez, E. & Pionteck, T. (eds.). Springer Science and Business Media B.V., p. 94-108 15 p. (Lecture Notes in Computer Science, Vol. 15839 LNCS).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

P-CORE: Exploring RISC-V Packed-SIMD Extension for CNNs

Ali, M., Aliagha, E., Elnashar, M. & Gohringer, D., Aug 2025, In: IEEE access. 13, p. 146603-146616 14 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Unlocking the Potential of RISC-V Heterogeneous MPSoC: A PANACA-based Approach to Simulation and Modeling

Haase, 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. (Lecture Notes in Computer Science, Vol. 14385).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Application Specific Instruction-Set Processors for Machine Learning Applications

Ali, M. & Gohringer, D., 2022, FPT 2022 - 21st International Conference on Field-Programmable Technology, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 4 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs

Kalms, 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.

Research output: Contribution to journal › Research article › Contributed › peer-review

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Research Portal of the TU Dresden

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