Barukh Ziv

Prioritized Traversal: Efficient Reachability Analysis for Verification and Falsification

Moshe Y. Vardi, Limor Fix, Gila Kamhi, 2000, CAV.

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads

Dhiraj D. Kalamkar, Cristina S. Anderson, Vasimuddin, 2022, Frontiers in Applied Mathematics and Statistics.

Lower Numerical Precision Deep Learning Inference and Training

Barukh Ziv, Andres Rodriguez, Eden Segal, 2018 .

Napoleon-like Configurations and Sequences of Triangles

Barukh Ziv, 2002 .

Elliptic Curve Cryptography Final report for a project in computer security

Barukh Ziv, Gadi AleksandrowiczBasil Hess, 2010 .

Accelerating Identification of Chromatin Accessibility from noisy ATAC-seq Data using Modern CPUs

Dhiraj D. Kalamkar, Bharat Kaul, E. Georganas, 2021, bioRxiv.

Efficient and Generic 1D Dilated Convolution Layer for Deep Learning pdf

Sanchit Misra, Alexander Heinecke, Dhiraj Kalamkar, 2021, ArXiv.

Optimizing Deep Learning RNN Topologies on Intel Architecture

Alexander Heinecke, Kunal Banerjee, Evangelos Georganas, 2019, Supercomput. Front. Innov..

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads

Abhisek Kundu, Sanchit Misra, Alexander Heinecke, 2021, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.