AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch

8 March 2022

Papers citing "AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch"

7 / 7 papers shown

Title
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays Ayesha Siddique Khurram Khalil K. A. Hoque 37 0 0 20 Mar 2025
FAMES: Fast Approximate Multiplier Substitution for Mixed-Precision Quantized DNNs--Down to 2 Bits! Yi Ren Ruge Xu Xinfei Guo Weikang Qian MQ 64 0 0 27 Nov 2024
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers Mohammad Javad Askarizadeh Ebrahim Farahmand Jorge Castro-Godínez A. Mahani Laura Cabrera-Quiros C. Salazar-García AAML 26 0 0 17 Apr 2024
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators Mahdi Taheri N. Cherezova Samira Nazari Ahsan Rafiq A. Azarpeyvand Tara Ghasempouri Masoud Daneshtalab J. Raik M. Jenihhin 22 8 0 05 Mar 2024
TransAxx: Efficient Transformers with Approximate Computing Dimitrios Danopoulos Georgios Zervakis Dimitrios Soudris Jörg Henkel ViT 42 2 0 12 Feb 2024
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation Ebrahim Farahmand A. Mahani B. Ghavami Muhammad Abdullah Hanif Muhammad Shafique 9 4 0 04 Mar 2023
Approximate Computing and the Efficient Machine Learning Expedition J. Henkel Hai Helen Li A. Raghunathan M. Tahoori Swagath Venkataramani Xiaoxuan Yang Georgios Zervakis 11 17 0 02 Oct 2022