SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Jiacheng, Wu, Jun, Ding, Yaoyao, Xu, Zhiying, Wang, Yida, Pekhimenko, Gennady |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism
by: Ma, Bin, et al.
Published: (2026)
by: Ma, Bin, et al.
Published: (2026)
Minuet: Accelerating 3D Sparse Convolutions on GPUs
by: Yang, Jiacheng, et al.
Published: (2023)
by: Yang, Jiacheng, et al.
Published: (2023)
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
by: Zhao, Wei, et al.
Published: (2024)
by: Zhao, Wei, et al.
Published: (2024)
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
by: Song, Kevin, et al.
Published: (2025)
by: Song, Kevin, et al.
Published: (2025)
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs
by: Fan, Jiakun, et al.
Published: (2025)
by: Fan, Jiakun, et al.
Published: (2025)
Parallelizing Maximal Clique Enumeration on GPUs
by: Almasri, Mohammad, et al.
Published: (2022)
by: Almasri, Mohammad, et al.
Published: (2022)
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs
by: Chen, Aodong, et al.
Published: (2023)
by: Chen, Aodong, et al.
Published: (2023)
HybridTier: an Adaptive and Lightweight CXL-Memory Tiering System
by: Song, Kevin, et al.
Published: (2023)
by: Song, Kevin, et al.
Published: (2023)
Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference
by: Shyam, Vasu, et al.
Published: (2026)
by: Shyam, Vasu, et al.
Published: (2026)
TASP: Topology-aware Sequence Parallelism
by: Wang, Yida, et al.
Published: (2025)
by: Wang, Yida, et al.
Published: (2025)
Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
by: Luo, Jiajun, et al.
Published: (2024)
by: Luo, Jiajun, et al.
Published: (2024)
Serving Compound Inference Systems on Datacenter GPUs
by: Devata, Sriram, et al.
Published: (2026)
by: Devata, Sriram, et al.
Published: (2026)
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs
by: Sun, Mo, et al.
Published: (2024)
by: Sun, Mo, et al.
Published: (2024)
An Adaptive Distributed Stencil Abstraction for GPUs
by: Bhosale, Aditya, et al.
Published: (2025)
by: Bhosale, Aditya, et al.
Published: (2025)
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
by: Tian, Ye, et al.
Published: (2024)
by: Tian, Ye, et al.
Published: (2024)
Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
by: Chen, Haoyu, et al.
Published: (2025)
by: Chen, Haoyu, et al.
Published: (2025)
TrioSeq: A Novel Approach to Accelerate Triplet Sequence Alignment on GPUs
by: Graça, Miguel, et al.
Published: (2026)
by: Graça, Miguel, et al.
Published: (2026)
STADI: Fine-Grained Step-Patch Diffusion Parallelism for Heterogeneous GPUs
by: Liang, Han, et al.
Published: (2025)
by: Liang, Han, et al.
Published: (2025)
HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism
by: Zhang, Geng, et al.
Published: (2025)
by: Zhang, Geng, et al.
Published: (2025)
DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs
by: Babaei, Amir Fakhim, et al.
Published: (2025)
by: Babaei, Amir Fakhim, et al.
Published: (2025)
Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with SW Sequence Alignment
by: Costanzo, Manuel, et al.
Published: (2024)
by: Costanzo, Manuel, et al.
Published: (2024)
FlashMP: Fast Discrete Transform-Based Solver for Preconditioning Maxwell's Equations on GPUs
by: Zhang, Haoyuan, et al.
Published: (2025)
by: Zhang, Haoyuan, et al.
Published: (2025)
TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
by: Wu, Shixun, et al.
Published: (2024)
by: Wu, Shixun, et al.
Published: (2024)
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
by: Liu, Ziming, et al.
Published: (2024)
by: Liu, Ziming, et al.
Published: (2024)
Seesaw: High-throughput LLM Inference via Model Re-sharding
by: Su, Qidong, et al.
Published: (2025)
by: Su, Qidong, et al.
Published: (2025)
FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
by: Zhu, Zhuoran, et al.
Published: (2025)
by: Zhu, Zhuoran, et al.
Published: (2025)
Disaggregated Prefill and Decoding Inference System for Large Language Model Serving on Multi-Vendor GPUs
by: Chen, Xing, et al.
Published: (2025)
by: Chen, Xing, et al.
Published: (2025)
Diving into 3D Parallelism with Heterogeneous Spot Instance GPUs: Design and Implications
by: Wang, Yuxiao, et al.
Published: (2025)
by: Wang, Yuxiao, et al.
Published: (2025)
A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
by: Zhang, Yida, et al.
Published: (2026)
by: Zhang, Yida, et al.
Published: (2026)
OD-MoE: On-Demand Expert Loading for Cacheless Edge-Distributed MoE Inference
by: Wang, Liujianfu, et al.
Published: (2025)
by: Wang, Liujianfu, et al.
Published: (2025)
xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
by: Fang, Jiarui, et al.
Published: (2024)
by: Fang, Jiarui, et al.
Published: (2024)
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search
by: Li, Zhonggen, et al.
Published: (2025)
by: Li, Zhonggen, et al.
Published: (2025)
BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens
by: Sun, Ao, et al.
Published: (2025)
by: Sun, Ao, et al.
Published: (2025)
FPTC: A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression
by: Mechels, Ben, et al.
Published: (2026)
by: Mechels, Ben, et al.
Published: (2026)
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025)
by: Kang, Xueze, et al.
Published: (2025)
PipeFill: Using GPUs During Bubbles in Pipeline-parallel LLM Training
by: Arfeen, Daiyaan, et al.
Published: (2024)
by: Arfeen, Daiyaan, et al.
Published: (2024)
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java
by: Diehl, Patrick, et al.
Published: (2023)
by: Diehl, Patrick, et al.
Published: (2023)
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
by: Xie, Xi, et al.
Published: (2024)
by: Xie, Xi, et al.
Published: (2024)
Similar Items
-
CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism
by: Ma, Bin, et al.
Published: (2026) -
Minuet: Accelerating 3D Sparse Convolutions on GPUs
by: Yang, Jiacheng, et al.
Published: (2023) -
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
by: Zhao, Wei, et al.
Published: (2024) -
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
by: Song, Kevin, et al.
Published: (2025) -
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
by: Zhu, Zhanda, et al.
Published: (2025)