Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation

23 January 2020

Papers citing "Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation"

8 / 8 papers shown

Title
Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving Yaoyao Ding Bohan Hou X. Zhang Allan Lin Tianqi Chen Cody Yu Hao Yida Wang Gennady Pekhimenko 39 0 0 17 Apr 2025
Data-efficient Performance Modeling via Pre-training Chunting Liu Riyadh Baghdadi 37 0 0 24 Jan 2025
Target-independent XLA optimization using Reinforcement Learning Milan Ganai Haichen Li Theodore Enns Yida Wang Randy Huang 16 0 0 28 Aug 2023
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness D. Rieber Moritz Reiber Oliver Bringmann Holger Fröning 10 4 0 31 May 2022
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators Bingqian Lu Zheyu Yan Yiyu Shi Shaolei Ren 14 2 0 25 Mar 2022
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 50 53 0 04 Mar 2020
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 38 68 0 05 Nov 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016