Emil Vatai

According to our database, Emil Vatai authored at least 15 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Looking for (Genomic) Needles in a Haystack: Sparsity-Driven Search for Identifying Correlated Genetic Mutations in Cancer.

Ritvik Prabhu, Emil Vatai, Bernard Moussad, Emmanuel Jeannot, Ramu Anandakrishnan, Wu-chun Feng, Mohamed Wahib

CoRR, March, 2026

Prototyping an Autotuning Framework for Program Optimization Using Exo Language.

Rin Iwai, Jens Domke, Emil Vatai, Yukinori Sato

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

EvoTADASHI: Genetic Programming for High-Performance Code Optimization.

João Eduardo Batista, Emil Vatai, Aleksandr Drozd, Mohamed Wahib

Proceedings of the Applications of Evolutionary Computation - 29th European Conference, 2026

2025

Think Before You Attribute: Improving the Performance of LLMs Attribution Systems.

João Eduardo Batista, Emil Vatai, Mohamed Wahib

CoRR, May, 2025

A tool and a methodology to use macros for abstracting variations in code for different computational demands.

Anshu Dubey, Youngjun Lee, Tom Klosterman, Emil Vatai

Future Gener. Comput. Syst., 2025

2024

Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness.

Emil Vatai, Aleksandr Drozd, Ivan R. Ivanov, Yinghao Ren, Mohamed Wahib

CoRR, 2024

On the Scalability of Computing Genomic Diversity Using SparkLeBLAST: A Feasibility Study.

Ritvik Prabhu, Bernard Moussad, Karim Youssef, Emil Vatai, Wu-Chun Feng

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

Evaluation of Vectorization Methods on Arm SVE Using the Exo Language.

Rin Iwai, Emil Vatai, Jens Domke, Yukinori Sato

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

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, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

ACM Trans. Archit. Code Optim., December, 2023

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, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka

CoRR, 2022

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, Mohamed Wahib, Balazs Gerofi

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?

Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Diamond matrix powers kernels.

Emil Vatai, Utsav Singhal, Reiji Suda

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

2015

Sieving in primality testing and factorization

Emil Vatai

PhD thesis, 2015

2011

Cache optimized linear sieve

A. Járai, Emil Vatai

CoRR, 2011