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Efficiently Scaling Transformer Inference

Efficiently Scaling Transformer Inference

9 November 2022
Reiner Pope
Sholto Douglas
Aakanksha Chowdhery
Jacob Devlin
James Bradbury
Anselm Levskaya
Jonathan Heek
Kefan Xiao
Shivani Agrawal
J. Dean
ArXivPDFHTML

Papers citing "Efficiently Scaling Transformer Inference"

12 / 62 papers shown
Title
Learning to Compress Prompts with Gist Tokens
Learning to Compress Prompts with Gist Tokens
Jesse Mu
Xiang Lisa Li
Noah D. Goodman
VLM
53
206
0
17 Apr 2023
STen: Productive and Efficient Sparsity in PyTorch
STen: Productive and Efficient Sparsity in PyTorch
Andrei Ivanov
Nikoli Dryden
Tal Ben-Nun
Saleh Ashkboos
Torsten Hoefler
34
4
0
15 Apr 2023
CoLT5: Faster Long-Range Transformers with Conditional Computation
CoLT5: Faster Long-Range Transformers with Conditional Computation
Joshua Ainslie
Tao Lei
Michiel de Jong
Santiago Ontañón
Siddhartha Brahma
...
Mandy Guo
James Lee-Thorp
Yi Tay
Yun-hsuan Sung
Sumit Sanghai
LLMAG
36
63
0
17 Mar 2023
With Shared Microexponents, A Little Shifting Goes a Long Way
With Shared Microexponents, A Little Shifting Goes a Long Way
Bita Darvish Rouhani
Ritchie Zhao
V. Elango
Rasoul Shafipour
Mathew Hall
...
Eric S. Chung
Zhaoxia Deng
S. Naghshineh
Jongsoo Park
Maxim Naumov
MQ
43
36
0
16 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
90
572
0
10 Feb 2023
Accelerating Large Language Model Decoding with Speculative Sampling
Accelerating Large Language Model Decoding with Speculative Sampling
Charlie Chen
Sebastian Borgeaud
G. Irving
Jean-Baptiste Lespiau
Laurent Sifre
J. Jumper
BDL
LRM
8
384
0
02 Feb 2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large
  Language Models
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao
Ji Lin
Mickael Seznec
Hao Wu
Julien Demouth
Song Han
MQ
86
741
0
18 Nov 2022
Desiderata for next generation of ML model serving
Desiderata for next generation of ML model serving
Sherif Akoush
Andrei Paleyes
A. V. Looveren
Clive Cox
38
5
0
26 Oct 2022
Beyond Distillation: Task-level Mixture-of-Experts for Efficient
  Inference
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
107
0
24 Sep 2021
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
252
580
0
12 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,505
0
23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,833
0
17 Sep 2019
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