Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability

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Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability

14 April 2025

Aikaterini Maria Panteleaki

Georgios Zervakis

Iraklis Anagnostopoulos

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Papers citing "Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability"

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Title
Leveraging Highly Approximated Multipliers in DNN Inference Georgios Zervakis Fabio Frustaci Ourania Spantidi Iraklis Anagnostopoulos H. Amrouch Jörg Henkel 117 1 0 21 Dec 2024
On the Promise and Pitfalls of Optimizing Embodied Carbon Noman Bashir David Irwin Prashant J. Shenoy AI4CE 65 17 0 27 Jun 2023
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference Jing Gong Hassaan Saadat Hasindu Gamaarachchi Haris Javaid X. Hu S. Parameswaran 80 18 0 09 Sep 2022
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators Sheng-Chun Kao Michael Pellauer A. Parashar T. Krishna 66 33 0 26 Jan 2022
Positive/Negative Approximate Multipliers for DNN Accelerators Ourania Spantidi Georgios Zervakis Iraklis Anagnostopoulos H. Amrouch J. Henkel 50 20 0 20 Jul 2021
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU Filip Vaverka Vojtěch Mrázek Z. Vašíček Lukás Sekanina 66 35 0 21 Feb 2020