Accelerating OpenPangu Inference on NPU via Speculative Decoding
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Yuntao, Wu, Jing, Gu, Hang, Wang, Teng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding
by: Wang, Zhibin, et al.
Published: (2025)
by: Wang, Zhibin, et al.
Published: (2025)
SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model Inference
by: Chen, Liangkun, et al.
Published: (2025)
by: Chen, Liangkun, et al.
Published: (2025)
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
by: Chen, Fahao, et al.
Published: (2025)
by: Chen, Fahao, et al.
Published: (2025)
Minions: Accelerating Large Language Model Inference with Aggregated Speculative Execution
by: Wang, Siqi, et al.
Published: (2024)
by: Wang, Siqi, et al.
Published: (2024)
SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
by: Zheng, Ce, et al.
Published: (2026)
by: Zheng, Ce, et al.
Published: (2026)
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)
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
by: Chen, Kefu, et al.
Published: (2026)
by: Chen, Kefu, et al.
Published: (2026)
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)
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
by: Han, Yunhe, et al.
Published: (2026)
by: Han, Yunhe, et al.
Published: (2026)
GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference
by: Tran, Phuong, et al.
Published: (2025)
by: Tran, Phuong, et al.
Published: (2025)
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting
by: Xu, Jiaming, et al.
Published: (2025)
by: Xu, Jiaming, et al.
Published: (2025)
WindVE: Collaborative CPU-NPU Vector Embedding
by: Huang, Jinqi, et al.
Published: (2025)
by: Huang, Jinqi, et al.
Published: (2025)
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models
by: Wu, Hang, et al.
Published: (2025)
by: Wu, Hang, et al.
Published: (2025)
Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verification
by: Huang, Guang, et al.
Published: (2026)
by: Huang, Guang, et al.
Published: (2026)
FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving
by: Chen, Wenyan, et al.
Published: (2026)
by: Chen, Wenyan, et al.
Published: (2026)
NPU Design for Diffusion Language Model Inference
by: Lou, Binglei, et al.
Published: (2026)
by: Lou, Binglei, et al.
Published: (2026)
Speculative Decoding in Decentralized LLM Inference: Turning Communication Latency into Computation Throughput
by: Song, Jingwei, et al.
Published: (2025)
by: Song, Jingwei, et al.
Published: (2025)
FlowSpec: Continuous Pipelined Speculative Decoding for Efficient Distributed LLM Inference
by: Liu, Xing, et al.
Published: (2025)
by: Liu, Xing, et al.
Published: (2025)
SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
by: Lv, Cunchi, et al.
Published: (2025)
by: Lv, Cunchi, et al.
Published: (2025)
UMDAM: A Unified Data Layout and DRAM Address Mapping for Heterogenous NPU-PIM
by: Huang, Hai
Published: (2025)
by: Huang, Hai
Published: (2025)
FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding
by: Li, Yuchen, et al.
Published: (2026)
by: Li, Yuchen, et al.
Published: (2026)
AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration
by: McDanel, Bradley
Published: (2024)
by: McDanel, Bradley
Published: (2024)
Striking the Right Balance between Compute and Copy: Improving LLM Inferencing Under Speculative Decoding
by: Ramachandran, Arun, et al.
Published: (2025)
by: Ramachandran, Arun, et al.
Published: (2025)
PilotANN: Memory-Bounded GPU Acceleration for Vector Search
by: Gui, Yuntao, et al.
Published: (2025)
by: Gui, Yuntao, et al.
Published: (2025)
LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load
by: Tummalapalli, Pranay, et al.
Published: (2026)
by: Tummalapalli, Pranay, et al.
Published: (2026)
SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
by: Shen, Yuhao, et al.
Published: (2025)
by: Shen, Yuhao, et al.
Published: (2025)
Accelerating Distributed MoE Training and Inference with Lina
by: Li, Jiamin, et al.
Published: (2022)
by: Li, Jiamin, et al.
Published: (2022)
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control
by: Wang, Zhigang, et al.
Published: (2024)
by: Wang, Zhigang, et al.
Published: (2024)
Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
by: Hao, Zixu, et al.
Published: (2025)
by: Hao, Zixu, et al.
Published: (2025)
Collaborative Speculative Inference for Efficient LLM Inference Serving
by: Gao, Luyao, et al.
Published: (2025)
by: Gao, Luyao, et al.
Published: (2025)
Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement
by: Wu, Tian, et al.
Published: (2025)
by: Wu, Tian, et al.
Published: (2025)
Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization
by: Gao, Luyao, et al.
Published: (2024)
by: Gao, Luyao, et al.
Published: (2024)
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
by: Li, Rui, et al.
Published: (2025)
by: Li, Rui, et al.
Published: (2025)
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation
by: Butler, Branden, et al.
Published: (2024)
by: Butler, Branden, et al.
Published: (2024)
STAR: Decode-Phase Rescheduling for LLM Inference
by: Wang, Zhibin, et al.
Published: (2025)
by: Wang, Zhibin, et al.
Published: (2025)
Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators
by: Fridman, Yehonatan, et al.
Published: (2024)
by: Fridman, Yehonatan, et al.
Published: (2024)
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
Understanding the Performance and Power of LLM Inferencing on Edge Accelerators
by: Arya, Mayank, et al.
Published: (2025)
by: Arya, Mayank, et al.
Published: (2025)
Collaborative Inference Acceleration with Non-Penetrative Tensor Partitioning
by: Liu, Zhibang, et al.
Published: (2025)
by: Liu, Zhibang, et al.
Published: (2025)
ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems
by: Chen, Qiaoling, et al.
Published: (2025)
by: Chen, Qiaoling, et al.
Published: (2025)
Similar Items
-
Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding
by: Wang, Zhibin, et al.
Published: (2025) -
SP-MoE: Speculative Decoding and Prefetching for Accelerating MoE-based Model Inference
by: Chen, Liangkun, et al.
Published: (2025) -
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
by: Chen, Fahao, et al.
Published: (2025) -
Minions: Accelerating Large Language Model Inference with Aggregated Speculative Execution
by: Wang, Siqi, et al.
Published: (2024) -
SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
by: Zheng, Ce, et al.
Published: (2026)