Alireza Khodamoradi

16 papers A 3B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks. CoRR Alireza Khodamoradi, Kristof Denolf, Eric Dellinger
2024	J	`jnl`	Tailor: Altering Skip Connections for Resource-Efficient Inference. ACM Trans. Reconfigurable Technol. Syst. Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
2023	A	`conf`	Adapting Skip Connections for Resource-Efficient FPGA Inference. FPGA Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
2023	J	`jnl`	Microscaling Data Formats for Deep Learning. CoRR 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
2023	A	`conf`	SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. ICS Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
2023	J	`jnl`	SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. CoRR Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf, Jack Lo, Juan Gómez-Luna, Joseph Melber, Andra Bisca, Henk Corporaal, Onur Mutlu
2023	J	`jnl`	Tailor: Altering Skip Connections for Resource-Efficient Inference. CoRR Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner
2022	J	`jnl`	A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers. CoRR Gagandeep Singh, Mohammed Alser, Alireza Khodamoradi, Kristof Denolf, Can Firtina, Meryem Banu Cavlak, Henk Corporaal, Onur Mutlu
2021	J	`jnl`	$O(N)$O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors. IEEE Trans. Emerg. Top. Comput. Alireza Khodamoradi, Ryan Kastner
2021	B	`conf`	ASLR: An Adaptive Scheduler for Learning Rate. IJCNN Alireza Khodamoradi, Kristof Denolf, Kees A. Vissers, Ryan Kastner
2021	J	`jnl`	Benchmarking vision kernels and neural network inference accelerators on embedded platforms. J. Syst. Archit. Murad Qasaimeh, Kristof Denolf, Alireza Khodamoradi, Michaela Blott, Jack Lo, Lisa Halder, Kees A. Vissers, Joseph Zambreno, Phillip H. Jones
2021	J	`jnl`	Hardware-efficient Residual Networks for FPGAs. CoRR Olivia Weng, Alireza Khodamoradi, Ryan Kastner
2021	—	`—`	Reshaping Deep Neural Networks for Efficient Hardware Inference Alireza Khodamoradi
2021	A	`conf`	S2N2: A FPGA Accelerator for Streaming Spiking Neural Networks. FPGA Alireza Khodamoradi, Kristof Denolf, Ryan Kastner
2020	—	`conf`	Real-time Automatic Modulation Classification using RFSoC. IPDPS Workshops Stephen Tridgell, David Boland, Philip H. W. Leong, Ryan Kastner, Alireza Khodamoradi, Siddhartha
2015	—	`conf`	A computer vision based candidate for functional balance test. EMBC Alican Nalci, Alireza Khodamoradi, Ozgur Balkan, Fatta Nahab, Harinath Garudadri