Machine Learning · Computer Science
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar +2
2024-07-16
Machine Learning · Computer Science
Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
Vasudev Shyam, Jonathan Pilault, Emily Shepperd, Quentin Anthony +1
2025-02-11
Distributed, Parallel, and Cluster Computing · Computer Science
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang +3
2024-06-07
Machine Learning · Computer Science
Sequence Parallelism: Long Sequence Training from System Perspective
Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li +1
2022-05-24
Computation and Language · Computer Science
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
Gang Lin, Dongfang Li, Zhuoen Chen, Yukun Shi +3
2026-02-05
Hardware Architecture · Computer Science
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Rühle +1
2025-01-15
Distributed, Parallel, and Cluster Computing · Computer Science
S-HPLB: Efficient LLM Attention Serving via Sparsity-Aware Head Parallelism Load Balance
Di Liu, Yifei Liu, Chen Chen, Zhibin Yu +3
2026-03-12
Machine Learning · Computer Science
Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference
Quantong Qiu, Zhiyi Hong, Yi Yang, Haitian Wang +4
2026-04-10
Computation and Language · Computer Science
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling
Ted Zadouri, Markus Hoehnerbach, Jay Shah, Timmy Liu +2
2026-03-06
Machine Learning · Computer Science
Scaling Attention via Feature Sparsity
Yan Xie, Tiansheng Wen, Tangda Huang, Bo Chen +3
2026-03-31
Machine Learning · Computer Science
Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs
Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian +9
2024-07-15
Machine Learning · Computer Science
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
StepFun, :, Bin Wang, Bojun Wang +196
2025-07-28
Machine Learning · Computer Science
POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter +2
2025-02-18
Machine Learning · Computer Science
ScoutAttention: Efficient KV Cache Offloading via Layer-Ahead CPU Pre-computation for LLM Inference
Qiuyang Zhang, Kai Zhou, Ding Tang, Kai Lu +4
2026-03-31
Hardware Architecture · Computer Science
L3: DIMM-PIM Integrated Architecture and Coordination for Scalable Long-Context LLM Inference
Qingyuan Liu, Liyan Chen, Yanning Yang, Haocheng Wang +5
2025-04-25
Machine Learning · Computer Science
SeerAttention-R: Sparse Attention Adaptation for Long Reasoning
Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia +11
2025-06-11
Computation and Language · Computer Science
S2-Attention: Hardware-Aware Context Sharding Among Attention Heads
Xihui Lin, Yunan Zhang, Suyu Ge, Liliang Ren +4
2025-02-06
Machine Learning · Computer Science
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition
Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola +4
2024-01-22
Computer Vision and Pattern Recognition · Computer Science
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai +11
2025-06-09