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Amir Yazdanbakhsh

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks


Feb 20, 2021
Amir Yazdanbakhsh, Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami

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* 11 pages, 15 figures, submitted to ISCA 2021 
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Rethinking Co-design of Neural Architectures and Hardware Accelerators


Feb 17, 2021
Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

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Apollo: Transferable Architecture Exploration


Feb 02, 2021
Amir Yazdanbakhsh, Christof Angermueller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon

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* 10 pages, 5 figures, Accepted to Workshop on ML for Systems at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 
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Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation


Jan 23, 2020
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh

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* Published as a conference paper at ICLR 2020. arXiv admin note: text overlap with arXiv:1905.12799 
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ReLeQ: An Automatic Reinforcement Learning Approach for Deep Quantization of Neural Networks


Dec 10, 2018
Amir Yazdanbakhsh, Ahmed T. Elthakeb, Prannoy Pilligundla, FatemehSadat Mireshghallah, Hadi Esmaeilzadeh

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ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks


Nov 05, 2018
Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh

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GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks


May 10, 2018
Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh

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* Proceedings of the 45th International Symposium on Computer Architecture (ISCA), 2018 
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