Deep Learning based Side Channel Attacks on Intel CPU

Emerging Intel CPU+GPU Systems: Demystifying the Execution Bottlenecks

Machine learning and Artificial Intelligence for Higher-Order Epistasis Detection

DPHDC: A Data Parallel framework for Hyperdimensional Computing

Sparse Transformers for Deep Learning Interpretability in High Order Epistasis Detection

High-Performance Machine Learning in Biomedicine: Towards Efficient Epistasis Detection

Sensitivity Analysis for Deep Learning Models Interpretability in Epistasis Detection

Roofline Analysis and Performance Characterization for Intel Integrated GPUs

Hacking the System from Within

"PhyloMissForest: a framework to construct phylogenetic trees with missing data"

FPGA-Based Accelerator for High-Order Epistasis Detection

Exploring processor frontend capabilities via micro-benchmarking