Cache optimized linear sieve - A. Járai; Emil Vatai (CoRR, 2011)

Sieving in primality testing and factorization - Emil Vatai (2015)

Diamond matrix powers kernels. - Emil Vatai; Utsav Singhal; Reiji Suda (HPC Asia, 2020)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. - Truong Thao Nguyen; François Trahay; Jens Domke; Aleksandr Drozd; Emil Vatai; Jianwei Liao 001; Mohamed Wahib; Balazs Gerofi (IPDPS, 2022)

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (CoRR, 2022)

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (ACM Trans. Archit. Code Optim., 2023)

Evaluation of Vectorization Methods on Arm SVE Using the Exo Language. - Rin Iwai; Emil Vatai; Jens Domke; Yukinori Sato (CLUSTER Workshops, 2024)

On the Scalability of Computing Genomic Diversity Using SparkLeBLAST: A Feasibility Study. - Ritvik Prabhu; Bernard Moussad; Karim Youssef; Emil Vatai; Wu-Chun Feng (HPEC, 2024)

Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness. - Emil Vatai; Aleksandr Drozd; Ivan R. Ivanov; Yinghao Ren; Mohamed Wahib (CoRR, 2024)

Think Before You Attribute: Improving the Performance of LLMs Attribution Systems. - João Eduardo Batista; Emil Vatai; Mohamed Wahib (CoRR, 2025)