DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context
LLMs Training

DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training

5 October 2023

Joseph E. Gonzalez

Hao Zhang

Papers citing "DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training"

6 / 6 papers shown

Title
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Hangliang Ding Dacheng Li Runlong Su Peiyuan Zhang Zhijie Deng Ion Stoica Hao Zhang VGen 65 4 0 10 Feb 2025
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models Tzu-Tao Chang Shivaram Venkataraman VLM 111 0 0 04 Feb 2025
Context Parallelism for Scalable Million-Token Inference Amy Yang Jingyi Yang Aya Ibrahim Xinfeng Xie Bangsheng Tang Grigory Sizov Jeremy Reizenstein Jongsoo Park Jianyu Huang MoE LRM 60 5 0 04 Nov 2024
The Falcon Series of Open Language Models Ebtesam Almazrouei Hamza Alobeidli Abdulaziz Alshamsi Alessandro Cappelli Ruxandra-Aimée Cojocaru ... Quentin Malartic Daniele Mazzotta Badreddine Noune B. Pannier Guilherme Penedo AI4TS ALM 113 396 0 28 Nov 2023
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 2,009 0 28 Jul 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,815 0 17 Sep 2019