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Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM
  Inference

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference

29 March 2024
Jovan Stojkovic
Esha Choukse
Chaojie Zhang
Inigo Goiri
Josep Torrellas
ArXivPDFHTML

Papers citing "Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference"

4 / 4 papers shown
Title
Green Prompting
Green Prompting
Marta Adamska
Daria Smirnova
Hamid Nasiri
Zhengxin Yu
Peter Garraghan
60
0
0
09 Mar 2025
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback
En-Qi Tseng
Pei-Cing Huang
Chan Hsu
Peng-Yi Wu
Chan-Tung Ku
Yihuang Kang
41
1
0
10 Jan 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
55
2
0
15 Oct 2024
LLM in a flash: Efficient Large Language Model Inference with Limited
  Memory
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh-Vahid
Iman Mirzadeh
Dmitry Belenko
Karen Khatamifard
Minsik Cho
C. C. D. Mundo
Mohammad Rastegari
Mehrdad Farajtabar
70
104
0
12 Dec 2023
1