TU Berlin

Embedded Systems ArchitectureMammeri, Nadjib

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Nadjib Mammeri


Contact information
E-N 641
+49 (0)30 314-28692

Office hours:
with appointment
Sekretariat EN 12
Einsteinufer 17
D-10587 Berlin


Daniel Maier, Nadjib Mammeri, Biagio Cosenza, Ben Juurlink (2019). Approximating Memory-bound Applications on Mobile GPUs. 2019 International Conference on High Performance Computing & Simulation (HPCS)

Nadjib Mammeri and Ben Juurlink (2018). VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs. 2018 IEEE International Symposium on Workload Characterization (IISWC). IEEE.

Ben H. H. Juurlink and Jan Lucas and Nadjib Mammeri and Georgios Keramidas and Katerina Pontzolkova and Ignacio Aransay and Chrysa Kokkala and Martyn Bliss and Andrew Richards (2017). Enabling GPU software developers to optimize their applications - The LPGPU\(^mbox2\) approach. 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6.

Ben Juurlink and Jan Lucas and Nadjib Mammeri and Martyn Bliss and Georgios Keramidas and Chrysa Kokkala and Andrew Richards (2017). The LPGPU2 Project: Low-Power Parallel Computing on GPUs: Extended Abstract. Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems. ACM, 76–80.


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