Enabling GPU software developers to optimize their applications - The LPGPU2 approach. - Ben H. H. Juurlink; Jan Lucas; Nadjib Mammeri; Georgios Keramidas; Katerina Pontzolkova; Ignacio Aransay; Chrysa Kokkala; Martyn Bliss; Andrew Richards (DASIP, 2017)

The LPGPU2 Project: Low-Power Parallel Computing on GPUs: Extended Abstract. - Ben H. H. Juurlink; Jan Lucas; Nadjib Mammeri; Martyn Bliss; Georgios Keramidas; Chrysa Kokkala; Andrew Richards (SCOPES, 2017)

VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs. - Nadjib Mammeri; Ben H. H. Juurlink (IISWC, 2018)

Approximating Memory-bound Applications on Mobile GPUs. - Daniel Maier 002; Nadjib Mammeri; Biagio Cosenza; Ben H. H. Juurlink (HPCS, 2019)

Performance Counters based Power Modeling of Mobile GPUs using Deep Learning. - Nadjib Mammeri; Markus Neu; Sohan Lal; Ben H. H. Juurlink (HPCS, 2019)

VComputeLib: Enabling Cross-Platform GPGPU on Mobile and Embedded GPUs. - Nadjib Mammeri; Ben H. H. Juurlink (MoMM, 2019)