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Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving

17 April 2025

Papers citing "Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving"

29 / 29 papers shown

Title
SpinQuant: LLM quantization with learned rotations Zechun Liu Changsheng Zhao Igor Fedorov Bilge Soran Dhruv Choudhary Raghuraman Krishnamoorthi Vikas Chandra Yuandong Tian Tijmen Blankevoort MQ 234 124 0 21 Feb 2025
Gemma 2: Improving Open Language Models at a Practical Size Gemma Team Gemma Team Morgane Riviere Shreya Pathak Pier Giuseppe Sessa Cassidy Hardin ... Noah Fiedel Armand Joulin Kathleen Kenealy Robert Dadashi Alek Andreev VLM MoE OSLM 133 908 0 31 Jul 2024
Qwen2 Technical Report An Yang Baosong Yang Binyuan Hui Jian Xu Bowen Yu ... Yuqiong Liu Zeyu Cui Zhenru Zhang Zhifang Guo Zhi-Wei Fan OSLM VLM MU 167 973 0 15 Jul 2024
eXmY: A Data Type and Technique for Arbitrary Bit Precision Quantization Aditya Agrawal Matthew Hedlund Blake A. Hechtman MQ 77 4 0 22 May 2024
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs Saleh Ashkboos Amirkeivan Mohtashami Maximilian L. Croci Bo Li Martin Jaggi Dan Alistarh Torsten Hoefler James Hensman MQ 110 181 0 30 Mar 2024
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks Albert Tseng Jerry Chee Qingyao Sun Volodymyr Kuleshov Christopher De Sa MQ 194 128 0 06 Feb 2024
Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition Adnan Hoque Less Wright Chih-Chieh Yang Mudhakar Srivatsa R. Ganti 16 1 0 05 Jan 2024
Microscaling Data Formats for Deep Learning B. Rouhani Ritchie Zhao Ankit More Mathew Hall Alireza Khodamoradi ... Maxim Naumov Colin Verilli Ralph Wittig Doug Burger Eric S. Chung MQ 96 63 0 16 Oct 2023
Efficient Memory Management for Large Language Model Serving with PagedAttention Woosuk Kwon Zhuohan Li Siyuan Zhuang Ying Sheng Lianmin Zheng Cody Hao Yu Joseph E. Gonzalez Haotong Zhang Ion Stoica VLM 192 2,311 0 12 Sep 2023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees Jerry Chee Yaohui Cai Volodymyr Kuleshov Chris De Sa MQ 91 209 0 25 Jul 2023
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU Muhammad Osama D. Merrill C. Cecka M. Garland John Douglas Owens 57 28 0 09 Jan 2023
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 401 2,394 0 09 Nov 2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh MQ 138 1,005 0 31 Oct 2022
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs Guyue Huang Yang Bai Liu Liu Yuke Wang Bei Yu Yufei Ding Yuan Xie 76 17 0 29 Oct 2022
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs Yaoyao Ding Cody Hao Yu Bojian Zheng Yizhi Liu Yida Wang Gennady Pekhimenko 56 32 0 18 Oct 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Tim Dettmers M. Lewis Younes Belkada Luke Zettlemoyer MQ 103 662 0 15 Aug 2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization Siyuan Feng Bohan Hou Hongyi Jin Wuwei Lin Junru Shao ... Zihao Ye Lianmin Zheng Cody Hao Yu Yong Yu Tianqi Chen 51 68 0 09 Jul 2022
Tensor Program Optimization with Probabilistic Programs Junru Shao Xiyou Zhou Siyuan Feng Bohan Hou Ruihang Lai Hongyi Jin Wuwei Lin Masahiro Masuda Cody Hao Yu Tianqi Chen 76 31 0 26 May 2022
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance Jiarong Xing Leyuan Wang Shang Zhang Jack H Chen Ang Chen Yibo Zhu 58 44 0 25 Oct 2021
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry 49 29 0 19 Oct 2021
DISC: A Dynamic Shape Compiler for Machine Learning Workloads Kai Zhu Wenyi Zhao Zhen Zheng Tianyou Guo Pengzhan Zhao ... Junjie Bai Jun Yang Xiaoyong Liu Lansong Diao Wei Lin 55 27 0 09 Mar 2021
Cortex: A Compiler for Recursive Deep Learning Models Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry VLM 37 28 0 02 Nov 2020
IOS: Inter-Operator Scheduler for CNN Acceleration Yaoyao Ding Ligeng Zhu Zhihao Jia Gennady Pekhimenko Song Han 61 75 0 02 Nov 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 142 402 0 11 Jun 2020
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference Haichen Shen Jared Roesch Zhi Chen Wei Chen Yong Wu Mu Li Vin Sharma Zachary Tatlock Yida Wang 46 57 0 04 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 873 42,379 0 28 May 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 98 82 0 23 Jan 2020
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions Nicolas Vasilache O. Zinenko Theodoros Theodoridis Priya Goyal Zach DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen 74 436 0 13 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 768 132,363 0 12 Jun 2017