Copertina

Distributed Semi-Speculative Parallel Anisotropic Mesh Adaptation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Garner, Kevin, Thomadakis, Polykarpos, Chrisochoides, Nikos
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Tasking framework for Adaptive Speculative Parallel Mesh Generation
di: Tsolakis, Christos, et al.
Pubblicazione: (2024)

Near Real-time Adaptive Isotropic and Anisotropic Image-to-mesh Conversion for Numerical Simulations Involving Cerebral Aneurysms
di: Garner, Kevin, et al.
Pubblicazione: (2024)

Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search
di: Soós, Dominik, et al.
Pubblicazione: (2026)

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
di: Wei, Jinhui, et al.
Pubblicazione: (2025)

Distributed Speculative Execution for Resilient Cloud Applications
di: Li, Tianyu, et al.
Pubblicazione: (2024)

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation
di: Zhang, Zikai, et al.
Pubblicazione: (2026)

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
di: Wu, Tianyuan, et al.
Pubblicazione: (2025)

GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference
di: Tran, Phuong, et al.
Pubblicazione: (2025)

SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
di: Lv, Cunchi, et al.
Pubblicazione: (2025)

Distributed And Parallel Low-Diameter Decompositions for Arbitrary and Restricted Graphs
di: Dou, Jinfeng, et al.
Pubblicazione: (2024)

Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX
di: Nanda, Amitash, et al.
Pubblicazione: (2025)

CausalMesh: A Formally Verified Causally Consistent Distributed Cache with Support for Client Migration
di: Zhang, Haoran, et al.
Pubblicazione: (2025)

A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs
di: Rucci, Davide, et al.
Pubblicazione: (2025)

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers
di: Bouvier, Thomas, et al.
Pubblicazione: (2024)

TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
di: Rangwala, Murtaza, et al.
Pubblicazione: (2024)

AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism
di: Ajanthan, Thalaiyasingam, et al.
Pubblicazione: (2026)

Ten Pillars for Data Meshes
di: Grossman, Robert L., et al.
Pubblicazione: (2024)

SPECTRE: Hybrid Ordinary-Parallel Speculative Serving for Resource-Efficient LLM Inference
di: Xie, Jincheng, et al.
Pubblicazione: (2026)

Raptor: Distributed Scheduling for Serverless Functions
di: Exton, Kevin, et al.
Pubblicazione: (2024)

On Orchestrating Parallel Broadcasts for Distributed Ledgers
di: Sheng, Peiyao, et al.
Pubblicazione: (2024)

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks
di: Xia, Mengchun, et al.
Pubblicazione: (2026)

Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training
di: Zhang, Han, et al.
Pubblicazione: (2026)

NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
di: Ai, Xin, et al.
Pubblicazione: (2024)

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
di: Ranawaka, Isuru, et al.
Pubblicazione: (2024)

Balancing Pipeline Parallelism with Vocabulary Parallelism
di: Yeung, Man Tsung, et al.
Pubblicazione: (2024)

Accelerating OpenPangu Inference on NPU via Speculative Decoding
di: Dai, Yuntao, et al.
Pubblicazione: (2026)

Revisiting Speculative Leaderless Protocols for Low-Latency BFT Replication
di: Qian, Daniel, et al.
Pubblicazione: (2026)

LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions
di: Ling, Jianheng, et al.
Pubblicazione: (2024)

SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
di: Shen, Yuhao, et al.
Pubblicazione: (2025)

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling
di: Guo, Tianyu, et al.
Pubblicazione: (2025)

Minions: Accelerating Large Language Model Inference with Aggregated Speculative Execution
di: Wang, Siqi, et al.
Pubblicazione: (2024)

Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding
di: Wang, Zhibin, et al.
Pubblicazione: (2025)

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
di: Chen, Fahao, et al.
Pubblicazione: (2025)

Highly-Efficient Persistent FIFO Queues
di: Fatourou, Panagiota, et al.
Pubblicazione: (2024)

EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
di: Li, Yuxiao, et al.
Pubblicazione: (2026)

pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression
di: Li, Yuxiao, et al.
Pubblicazione: (2026)

DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization
di: Tang, Zhenheng, et al.
Pubblicazione: (2025)

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving
di: Chen, Wenyan, et al.
Pubblicazione: (2026)

CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism
di: Ma, Bin, et al.
Pubblicazione: (2026)

Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
di: Timor, Nadav, et al.
Pubblicazione: (2024)