Author

Ayesha Afzal

Erlangen National High Performance Computing Center (NHR@FAU) at Friedrich Alexander University Erlangen-Nürnberg, Germany,

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Sep 2026

Image-Based Malware Detection Using Deep Convolutional Autoencoder and Random Forest

Image-based analysis has been extensively used for malware classification by converting binary files into grayscale images to extract structural and behavioral patterns. However, common deep learning approaches generally suffer from problems such as non-interpretability, class imbalance, and computational overhead....

Shajjia Mazhar, Sadia Fatima, Irfanud Din et al. · Recent Advances in Computer... · 0 citations

Preprint Oct 2026

Exploiting the Interplay of Compute- and Memory-Bound kernels in MPI Applications

Parallel applications are often designed for synchronous, lock-step execution, treating communication stalls as performance hazards. Yet, in a communication-light application without frequent synchronization points that alternates between compute-bound memory-bound execution, an MPI communication stall can act as an un...

Ayesha Afzal, Krishna Manda, G. Hager · 0 citations

Preprint Jul 2026

Modeling and Chasing the Energy-Efficiency Sweet Spots in Modern GPUs

Overall, energy-efficient HPC execution is a configuration-dependent problem with identifiable regime shifts, and a model-driven guidance for selecting operating points is provided, and an interpretable analytical model is introduced that decomposes GPU power into linear and nonlinear components.

Ayesha Afzal, Markus Manfred Li, Michael Panzlaff · 0 citations