:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yuan, Xiulong, Yan, Xu, Shen, Wenting, Qiu, Xiafei, Wang, Ang, Zhang, Jie, Li, Yong, Lin, Wei
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2412.16985
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Long Context Fine-tuning with Chunk Flow
by: Yuan, Xiulong, et al.
Published: (2025)

LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices
by: Sun, Mingyu, et al.
Published: (2025)

Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
by: Lin, Bin, et al.
Published: (2024)

Accelerating Compound LLM Training Workloads with Maestro
by: Yuan, Xiulong, et al.
Published: (2026)

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
by: Liaw, Yong-Cheng, et al.
Published: (2025)

Analysis and Optimized CXL-Attached Memory Allocation for Long-Context LLM Fine-Tuning
by: Liaw, Yong-Cheng, et al.
Published: (2025)

Bandwidth-Aware Network Topology Optimization for Decentralized Learning
by: Shen, Yipeng, et al.
Published: (2025)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)

TierBase: A Workload-Driven Cost-Optimized Key-Value Store
by: Shen, Zhitao, et al.
Published: (2025)

PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping
by: Zhao, Zhixin, et al.
Published: (2026)

Harpagon: Minimizing DNN Serving Cost via Efficient Dispatching, Scheduling and Splitting
by: Zhao, Zhixin, et al.
Published: (2024)

SHARE: Optimizing Secure Hub Allocation and Routing Efficiency in Payment Channel Networks
by: Yang, Lingxiao, et al.
Published: (2025)

Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
by: Zhang, Yaozheng, et al.
Published: (2025)

CXL Shared Memory Programming: Barely Distributed and Almost Persistent
by: Xu, Yi, et al.
Published: (2024)

SkyMemory: A LEO Edge Cache for Transformer Inference Optimization and Scale Out
by: Sandholm, Thomas, et al.
Published: (2025)

Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist
by: Luo, Yicong, et al.
Published: (2025)

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees
by: Ma, Chenxiang, et al.
Published: (2025)

PilotANN: Memory-Bounded GPU Acceleration for Vector Search
by: Gui, Yuntao, et al.
Published: (2025)

Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
by: Bader, Jonathan, et al.
Published: (2026)

MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
by: Hu, Rizhen, et al.
Published: (2025)

LLM-CoOpt: A Co-Design and Optimization Framework for Efficient LLM Inference on Heterogeneous Platforms
by: Kong, Jie, et al.
Published: (2026)

INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network
by: Patke, Archit, et al.
Published: (2025)

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
by: Guo, Cong, et al.
Published: (2024)

Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks
by: Rong, Ziqi, et al.
Published: (2024)

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization
by: Chen, Jiu, et al.
Published: (2026)

DecLock: A Case of Decoupled Locking for Disaggregated Memory
by: Zhang, Hanze, et al.
Published: (2025)

Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling
by: Zhang, Xinyi, et al.
Published: (2024)

Opt-GPTQ: An Optimized GPTQ Combining Sparse Attention and Quantization Techniques
by: Kong, Jie, et al.
Published: (2025)

Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming
by: Xu, Ziyue, et al.
Published: (2025)

Flash-KMeans: Fast and Memory-Efficient Exact K-Means
by: Yang, Shuo, et al.
Published: (2026)

FlexKV: Flexible Index Offloading for Memory-Disaggregated Key-Value Store
by: Hu, Zhisheng, et al.
Published: (2025)

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference
by: Lin, Shouxu, et al.
Published: (2026)

DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications
by: Zheng, Haoyu, et al.
Published: (2025)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2025)

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
by: Yebo, Wu, et al.
Published: (2024)

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics
by: Yuan, Yichao, et al.
Published: (2025)

DiFache: Efficient and Scalable Caching on Disaggregated Memory using Decentralized Coherence
by: Zhang, Hanze, et al.
Published: (2025)

AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU
by: Zhang, Yuning, et al.
Published: (2026)

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

Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients
by: Li, Mingyi, et al.
Published: (2025)