Alireza Khodamoradi

According to our database, Alireza Khodamoradi authored at least 15 papers between 2015 and 2024.

Collaborative distances:

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

2024

Tailor: Altering Skip Connections for Resource-Efficient Inference.

Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner

ACM Trans. Reconfigurable Technol. Syst., March, 2024

Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks.

Alireza Khodamoradi, Kristof Denolf, Eric Dellinger

CoRR, 2024

2023

Microscaling Data Formats for Deep Learning.

Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung

CoRR, 2023

Tailor: Altering Skip Connections for Resource-Efficient Inference.

Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner

CoRR, 2023

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation.

Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu

Proceedings of the 37th International Conference on Supercomputing, 2023

Adapting Skip Connections for Resource-Efficient FPGA Inference.

Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers.

Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu

CoRR, 2022

2021

Reshaping Deep Neural Networks for Efficient Hardware Inference

Alireza Khodamoradi

PhD thesis, 2021

$O(N)$O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors.

Alireza Khodamoradi, Ryan Kastner

IEEE Trans. Emerg. Top. Comput., 2021

Benchmarking vision kernels and neural network inference accelerators on embedded platforms.

Murad Qasaimeh, Kristof Denolf, Alireza Khodamoradi, Michaela Blott, Jack Lo, Lisa Halder, Kees A. Vissers, Joseph Zambreno, Phillip H. Jones

J. Syst. Archit., 2021

Hardware-efficient Residual Networks for FPGAs.

Olivia Weng, Alireza Khodamoradi, Ryan Kastner

CoRR, 2021

ASLR: An Adaptive Scheduler for Learning Rate.

Alireza Khodamoradi, Kristof Denolf, Kees A. Vissers, Ryan Kastner

Proceedings of the International Joint Conference on Neural Networks, 2021

S2N2: A FPGA Accelerator for Streaming Spiking Neural Networks.

Alireza Khodamoradi, Kristof Denolf, Ryan Kastner

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Real-time Automatic Modulation Classification using RFSoC.

Stephen Tridgell, David Boland, Philip H. W. Leong, Ryan Kastner, Alireza Khodamoradi, Siddhartha

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2015

A computer vision based candidate for functional balance test.

Alican Nalci, Alireza Khodamoradi, Ozgur Balkan, Fatta Nahab, Harinath Garudadri

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015