FastMPS: Revisit Data Parallel in Large-scale Matrix Product State Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yaojian, Gong, Si-Qiu, Gan, Lin, Liu, Yanfei, Yang, An, Wang, Yinuo, Lu, Chao-yang, Yang, Guangwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SW-TNC : Reaching the Most Complex Random Quantum Circuit via Tensor Network Contraction
by: Chen, Yaojian, et al.
Published: (2025)
by: Chen, Yaojian, et al.
Published: (2025)
MMStencil: Optimizing High-order Stencils on Multicore CPU using Matrix Unit
by: Wang, Yinuo, et al.
Published: (2025)
by: Wang, Yinuo, et al.
Published: (2025)
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
by: Tang, Xinru, et al.
Published: (2025)
by: Tang, Xinru, et al.
Published: (2025)
GenTT: Generate Vectorized Codes for General Tensor Permutation
by: Chen, Yaojian, et al.
Published: (2025)
by: Chen, Yaojian, et al.
Published: (2025)
Characterization-Guided GPU Fault Resilience in NVIDIA MPS
by: Liu, Rixin, et al.
Published: (2026)
by: Liu, Rixin, et al.
Published: (2026)
Fast Kronecker Matrix-Matrix Multiplication on GPUs
by: Jangda, Abhinav, et al.
Published: (2024)
by: Jangda, Abhinav, et al.
Published: (2024)
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
FastSet: Parallel Claim Settlement
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Validating quantum-supremacy experiments with exact and fast tensor network contraction
by: Liu, Yong, et al.
Published: (2022)
by: Liu, Yong, et al.
Published: (2022)
Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training
by: Chen, Chang, et al.
Published: (2025)
by: Chen, Chang, et al.
Published: (2025)
Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States
by: Adamski, Jakub, et al.
Published: (2025)
by: Adamski, Jakub, et al.
Published: (2025)
Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
by: Ranawaka, Isuru, et al.
Published: (2024)
by: Ranawaka, Isuru, et al.
Published: (2024)
pdGRASS: A Fast Parallel Density-Aware Algorithm for Graph Spectral Sparsification
by: Zhao, Tiancheng, et al.
Published: (2025)
by: Zhao, Tiancheng, et al.
Published: (2025)
FFTrainer: Fast Failover in Large-Language Model Training with Almost-Free State Management
by: Zhao, Bohan, et al.
Published: (2025)
by: Zhao, Bohan, et al.
Published: (2025)
Hello SME! Generating Fast Matrix Multiplication Kernels Using the Scalable Matrix Extension
by: Remke, Stefan, et al.
Published: (2024)
by: Remke, Stefan, et al.
Published: (2024)
Fast Iterative Graph Computing with Updated Neighbor States
by: Zhou, Yijie, et al.
Published: (2024)
by: Zhou, Yijie, et al.
Published: (2024)
A Flexible Programmable Pipeline Parallelism Framework for Efficient DNN Training
by: Jiang, Lijuan, et al.
Published: (2025)
by: Jiang, Lijuan, et al.
Published: (2025)
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism
by: Xu, Wendong, et al.
Published: (2025)
by: Xu, Wendong, et al.
Published: (2025)
Humas: A Heterogeneity- and Upgrade-aware Microservice Auto-scaling Framework in Large-scale Data Centers
by: Hua, Qin, et al.
Published: (2024)
by: Hua, Qin, et al.
Published: (2024)
Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits
by: Schieffer, Gabin, et al.
Published: (2025)
by: Schieffer, Gabin, et al.
Published: (2025)
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training
by: Fang, Jiahao, et al.
Published: (2024)
by: Fang, Jiahao, et al.
Published: (2024)
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
by: Wei, Jinhui, et al.
Published: (2025)
by: Wei, Jinhui, et al.
Published: (2025)
Mitigating Interference of Microservices with a Scoring Mechanism in Large-scale Clusters
by: Yang, Dingyu, et al.
Published: (2024)
by: Yang, Dingyu, et al.
Published: (2024)
W4A16 Mixed-Precision Matrix Multiplication on Decoupled Architecture: Kernel Design and Memory Bottleneck Analysis for Ascend NPUs
by: He, Yuanhong, et al.
Published: (2026)
by: He, Yuanhong, et al.
Published: (2026)
Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning
by: Lei, Jie, et al.
Published: (2024)
by: Lei, Jie, et al.
Published: (2024)
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
by: Yu, Minchen, et al.
Published: (2025)
by: Yu, Minchen, et al.
Published: (2025)
Enhancing Memory Efficiency in Large Language Model Training Through Chronos-aware Pipeline Parallelism
by: Lin, Xinyuan, et al.
Published: (2025)
by: Lin, Xinyuan, et al.
Published: (2025)
Adaptive Parallel Downloader for Large Genomic Datasets
by: Swargo, Rasman Mubtasim, et al.
Published: (2025)
by: Swargo, Rasman Mubtasim, et al.
Published: (2025)
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
by: Chen, Haoxuan, et al.
Published: (2024)
by: Chen, Haoxuan, et al.
Published: (2024)
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)
Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks
by: Ma, Mulei, et al.
Published: (2025)
by: Ma, Mulei, et al.
Published: (2025)
Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
by: Lacey, Dane C., et al.
Published: (2024)
by: Lacey, Dane C., et al.
Published: (2024)
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
PARS3: Parallel Sparse Skew-Symmetric Matrix-Vector Multiplication with Reverse Cuthill-McKee Reordering
by: Yildirim, Selin, et al.
Published: (2024)
by: Yildirim, Selin, et al.
Published: (2024)
Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku
by: Xu, Hongtao, et al.
Published: (2025)
by: Xu, Hongtao, et al.
Published: (2025)
Parallel AIG Refactoring via Conflict Breaking
by: Cai, Ye, et al.
Published: (2024)
by: Cai, Ye, et al.
Published: (2024)
Runtime-optimized Multi-way Stream Join Operator for Large-scale Streaming data
by: Hu, Jinlong, et al.
Published: (2024)
by: Hu, Jinlong, et al.
Published: (2024)
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
by: Yang, Haowei, et al.
Published: (2025)
by: Yang, Haowei, et al.
Published: (2025)
Similar Items
-
SW-TNC : Reaching the Most Complex Random Quantum Circuit via Tensor Network Contraction
by: Chen, Yaojian, et al.
Published: (2025) -
MMStencil: Optimizing High-order Stencils on Multicore CPU using Matrix Unit
by: Wang, Yinuo, et al.
Published: (2025) -
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
by: Tang, Xinru, et al.
Published: (2025) -
GenTT: Generate Vectorized Codes for General Tensor Permutation
by: Chen, Yaojian, et al.
Published: (2025) -
Characterization-Guided GPU Fault Resilience in NVIDIA MPS
by: Liu, Rixin, et al.
Published: (2026)