KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Chaoyi, Gao, Lei, Zarch, Hossein Entezari, Annavaram, Murali |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
by: Gao, Lei, et al.
Published: (2024)
by: Gao, Lei, et al.
Published: (2024)
DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference
by: Jeong, Bodon, et al.
Published: (2026)
by: Jeong, Bodon, et al.
Published: (2026)
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
by: Zhou, Zhongzhu, et al.
Published: (2026)
by: Zhou, Zhongzhu, et al.
Published: (2026)
KVDirect: Distributed Disaggregated LLM Inference
by: Chen, Shiyang, et al.
Published: (2024)
by: Chen, Shiyang, et al.
Published: (2024)
THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
by: Muhammad, Said, et al.
Published: (2025)
by: Muhammad, Said, et al.
Published: (2025)
RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference
by: Karfakis, George, et al.
Published: (2025)
by: Karfakis, George, et al.
Published: (2025)
ARKV: Adaptive and Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs
by: Lei, Jianlong, et al.
Published: (2026)
by: Lei, Jianlong, et al.
Published: (2026)
HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing
by: Lin, Mao, et al.
Published: (2026)
by: Lin, Mao, et al.
Published: (2026)
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression
by: Fan, Ruibo, et al.
Published: (2026)
by: Fan, Ruibo, et al.
Published: (2026)
LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
Glinthawk: A Two-Tiered Architecture for Offline LLM Inference
by: Hamadanian, Pouya, et al.
Published: (2025)
by: Hamadanian, Pouya, et al.
Published: (2025)
TaxBreak: Unmasking the Hidden Costs of LLM Inference Through Overhead Decomposition
by: Vellaisamy, Prabhu, et al.
Published: (2026)
by: Vellaisamy, Prabhu, et al.
Published: (2026)
Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
by: Santoni, Cosmo
Published: (2026)
by: Santoni, Cosmo
Published: (2026)
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
ISO: Overlap of Computation and Communication within Seqenence For LLM Inference
by: Xiao, Bin, et al.
Published: (2024)
by: Xiao, Bin, et al.
Published: (2024)
ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations
by: Boudaoud, Afif, et al.
Published: (2026)
by: Boudaoud, Afif, et al.
Published: (2026)
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025)
by: Dutt, Anurag, et al.
Published: (2025)
Characterizing WebGPU Dispatch Overhead for LLM Inference Across Four GPU Vendors, Three Backends, and Three Browsers
by: Maczan, Jędrzej
Published: (2026)
by: Maczan, Jędrzej
Published: (2026)
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)
ProTrain: Efficient LLM Training via Memory-Aware Techniques
by: Yang, Hanmei, et al.
Published: (2024)
by: Yang, Hanmei, et al.
Published: (2024)
CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
by: Rashid, Md Hasanur, et al.
Published: (2026)
by: Rashid, Md Hasanur, et al.
Published: (2026)
Efficient allocation of image recognition and LLM tasks on multi-GPU system
by: Lawenda, Marcin, et al.
Published: (2025)
by: Lawenda, Marcin, et al.
Published: (2025)
EPIC: Efficient Position-Independent Caching for Serving Large Language Models
by: Hu, Junhao, et al.
Published: (2024)
by: Hu, Junhao, et al.
Published: (2024)
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
by: Zhang, Yaozheng, et al.
Published: (2025)
by: Zhang, Yaozheng, et al.
Published: (2025)
Multi-DNN Inference of Sparse Models on Edge SoCs
by: Luo, Jiawei, et al.
Published: (2026)
by: Luo, Jiawei, et al.
Published: (2026)
CARMA: Collocation-Aware Resource Manager
by: Yousefzadeh-Asl-Miandoab, Ehsan, et al.
Published: (2025)
by: Yousefzadeh-Asl-Miandoab, Ehsan, et al.
Published: (2025)
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
by: Yuan, Ziqi, et al.
Published: (2025)
by: Yuan, Ziqi, et al.
Published: (2025)
Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
by: Aqasizade, Hossein, et al.
Published: (2024)
by: Aqasizade, Hossein, et al.
Published: (2024)
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
by: Ghafouri, Saeid, et al.
Published: (2023)
by: Ghafouri, Saeid, et al.
Published: (2023)
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
by: Xu, Guanyu, et al.
Published: (2025)
by: Xu, Guanyu, et al.
Published: (2025)
Recorder: Comprehensive Parallel I/O Tracing and Analysis
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
by: Li, Zhuojin, et al.
Published: (2025)
by: Li, Zhuojin, et al.
Published: (2025)
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
by: Wu, Dan, et al.
Published: (2023)
by: Wu, Dan, et al.
Published: (2023)
Orthrus: Accelerating Multi-BFT Consensus through Concurrent Partial Ordering of Transactions (Extended Version)
by: Lyu, Hanzheng, et al.
Published: (2024)
by: Lyu, Hanzheng, et al.
Published: (2024)
Less is More: Optimizing Function Calling for LLM Execution on Edge Devices
by: Paramanayakam, Varatheepan, et al.
Published: (2024)
by: Paramanayakam, Varatheepan, et al.
Published: (2024)
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
by: Tu, Dezhan, et al.
Published: (2024)
by: Tu, Dezhan, et al.
Published: (2024)
Is Intelligence the Right Direction in New OS Scheduling for Multiple Resources in Cloud Environments?
by: Dou, Xinglei, et al.
Published: (2025)
by: Dou, Xinglei, et al.
Published: (2025)
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
by: Gupta, Ahan, et al.
Published: (2026)
by: Gupta, Ahan, et al.
Published: (2026)
Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey
by: Ather, Hammad, et al.
Published: (2024)
by: Ather, Hammad, et al.
Published: (2024)
Similar Items
-
Striking the Right Balance between Compute and Copy: Improving LLM Inferencing Under Speculative Decoding
by: Ramachandran, Arun, et al.
Published: (2025) -
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
by: Gao, Lei, et al.
Published: (2024) -
DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference
by: Jeong, Bodon, et al.
Published: (2026) -
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
by: Zhou, Zhongzhu, et al.
Published: (2026) -
KVDirect: Distributed Disaggregated LLM Inference
by: Chen, Shiyang, et al.
Published: (2024)