Victor Ferrari

According to our database, Victor Ferrari authored at least 8 papers between 2014 and 2026.

Collaborative distances:

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

2026

Spyre: An Inference-Optimized Scalable AI Accelerator for Enterprise Workloads.

Matthew Cohen, Monodeep Kar, Swagath Venkataramani, Viji Srinivasan, Brian Veraa, Matthew M. Ziegler, Nianzheng Cao, Ashish Ranjan, Joel Silberman, Michael Guillorn, Sandra Woodward, JohnDavid Lancaster, Josh Hursey, Kyu-Hyoun Kim, Alberto Mannari, Amrit Nagarajan, Ananda Samajdar, Bahman Hekmatshoartabari, Bob Galbraith, Ching Zhou, David L. Satterfield, Gregory S. Still, Gustavo Tellez, Indira Nair, Indu Masilamanai, Jinwook Jung, Kavi Randhawa, Marcel Schaal, Martin Lutz, Paul Crumley, Philip Jacob, Prasanth Chatarasi, Radhika Jain, Sae Kyu Lee, Sanchari Sen, Sarada Krithivasan, Scot Rider, Shubham Jain, Siyu Koswatta, Thomas Roewer, Tom Gooding, Victor Ferrari, Vidhi Zalani, Zhibin Ren, Kevin Reick, Lisa Maurice, Christopher J. Gonzalez, Chris Catalino, Ryan Nett, Pong-Fei Lu, Robert M. Senger, Leland Chang

Proceedings of the IEEE International Solid-State Circuits Conference, 2026

2025

Using MLIR Transform to Design Sliced Convolution Algorithm.

Victor Ferrari, Márcio Machado Pereira, Lucas Alvarenga, Gustavo Leite, Guido Araujo

CoRR, November, 2025

Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT.

Zaiyang Guo, Ningjun J. Dong, Harold Litt, Natalie Yushkevich, Melanie Freas, Jessica Nunez, Victor Ferrari, Jilei Hao, Shir Goldfinger, Matthew A. Jolley, Joseph E. Bavaria, Nimesh D. Desai, Alison M. Pouch

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

ConvBench: A Comprehensive Benchmark for 2D Convolution Primitive Evaluation.

Lucas Alvarenga, Victor Ferrari, Rafael Souza, Márcio Machado Pereira, Guido Araujo

CoRR, 2024

2023

Advancing Direct Convolution Using Convolution Slicing Optimization and ISA Extensions.

Victor Ferrari, Rafael Cardoso Fernandes Sousa, Márcio Machado Pereira, Joao P. L. de Carvalho, José Nelson Amaral, José E. Moreira, Guido Araujo

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

A Generalizable Deep Learning System for Cardiac MRI.

Rohan Shad, Cyril Zakka, Dhamanpreet Kaur, Robyn Fong, Ross Warren Filice, John Mongan, Kimberly Kallianos, Nishith Khandwala, David Eng, Matthew Leipzig, Walter R. Witschey, Alejandro de Feria, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger

CoRR, 2023

2022

Improving Convolution via Cache Hierarchy Tiling and Reduced Packing.

Victor Ferrari, Rafael C. F. Sousa, Márcio Machado Pereira, João P. L. de Carvalho, José Nelson Amaral, Guido Araujo

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2014

Auto-encoding of discriminating morphometry from cardiac MRI.

Dong Hye Ye, Benoit Desjardins, Victor Ferrari, Dimitris N. Metaxas, Kilian M. Pohl

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014