Leveraging Speculative Sampling and KV-Cache Optimizations Together for Generative AI using OpenVINO
Fuente:
arXiv
Saved in:
| Main Authors: | Barad, Haim, Aidova, Ekaterina, Gorbachev, Yury |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
by: Liu, Guangda, et al.
Published: (2024)
by: Liu, Guangda, et al.
Published: (2024)
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
by: Zhao, Youpeng, et al.
Published: (2024)
by: Zhao, Youpeng, et al.
Published: (2024)
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
by: Zandieh, Amir, et al.
Published: (2024)
by: Zandieh, Amir, et al.
Published: (2024)
Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
by: Sai, Vishnu, et al.
Published: (2026)
by: Sai, Vishnu, et al.
Published: (2026)
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
by: Zhang, Hang, et al.
Published: (2025)
by: Zhang, Hang, et al.
Published: (2025)
OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration
by: Ma, Xinyue, et al.
Published: (2026)
by: Ma, Xinyue, 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)
HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing
by: Liu, Minghui, et al.
Published: (2024)
by: Liu, Minghui, et al.
Published: (2024)
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design
by: Huang, Zixiao, et al.
Published: (2025)
by: Huang, Zixiao, et al.
Published: (2025)
Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
by: Almurshed, Osama, et al.
Published: (2025)
by: Almurshed, Osama, et al.
Published: (2025)
Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations
by: Jha, Mayank
Published: (2026)
by: Jha, Mayank
Published: (2026)
Performance Modeling of Data Storage Systems using Generative Models
by: Al-Maeeni, Abdalaziz Rashid, et al.
Published: (2023)
by: Al-Maeeni, Abdalaziz Rashid, et al.
Published: (2023)
Deploying Open-Source Large Language Models: A performance Analysis
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
On the Sustainability of AI Inferences in the Edge
by: Sobhani, Ghazal, et al.
Published: (2025)
by: Sobhani, Ghazal, et al.
Published: (2025)
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
by: Lin, Yujun, et al.
Published: (2024)
by: Lin, Yujun, et al.
Published: (2024)
The Race to Efficiency: A New Perspective on AI Scaling Laws
by: Lu, Chien-Ping
Published: (2025)
by: Lu, Chien-Ping
Published: (2025)
Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs
by: Georganas, Evangelos, et al.
Published: (2025)
by: Georganas, Evangelos, et al.
Published: (2025)
MoEITS: A Green AI approach for simplifying MoE-LLMs
by: Balderas, Luis, et al.
Published: (2026)
by: Balderas, Luis, et al.
Published: (2026)
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification
by: Kermani, Arshia, et al.
Published: (2025)
by: Kermani, Arshia, et al.
Published: (2025)
Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems
by: Panigrahy, Deepak, et al.
Published: (2026)
by: Panigrahy, Deepak, et al.
Published: (2026)
GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping
by: Yin, Yishu, et al.
Published: (2025)
by: Yin, Yishu, et al.
Published: (2025)
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system
by: Li, Zeyuan, et al.
Published: (2024)
by: Li, Zeyuan, et al.
Published: (2024)
Accelerating AI Performance using Anderson Extrapolation on GPUs
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
by: Tiwari, Rishabh, et al.
Published: (2025)
by: Tiwari, Rishabh, et al.
Published: (2025)
Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems
by: Zhao, Yushang, et al.
Published: (2025)
by: Zhao, Yushang, et al.
Published: (2025)
Generalizing Scaling Laws for Dense and Sparse Large Language Models
by: Hossain, Md Arafat, et al.
Published: (2025)
by: Hossain, Md Arafat, et al.
Published: (2025)
When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon
by: Bergach, Mohamed Amine
Published: (2026)
by: Bergach, Mohamed Amine
Published: (2026)
Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
by: Hanyu, Tatsuro, et al.
Published: (2025)
by: Hanyu, Tatsuro, et al.
Published: (2025)
It's all about PR -- Smart Benchmarking AI Accelerators using Performance Representatives
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
by: Bergman, Shai, et al.
Published: (2025)
by: Bergman, Shai, et al.
Published: (2025)
Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
by: Liu, Minghui, et al.
Published: (2025)
by: Liu, Minghui, et al.
Published: (2025)
GPU-Accelerated INT8 Quantization for KV Cache Compression in Large Language Models
by: Taneja, Maanas, et al.
Published: (2026)
by: Taneja, Maanas, et al.
Published: (2026)
SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference
by: Liu, Hongyao, et al.
Published: (2026)
by: Liu, Hongyao, et al.
Published: (2026)
FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
Side-Channel Analysis of OpenVINO-based Neural Network Models
by: Jap, Dirmanto, et al.
Published: (2024)
by: Jap, Dirmanto, et al.
Published: (2024)
Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
by: Santoni, Cosmo
Published: (2026)
by: Santoni, Cosmo
Published: (2026)
Accelerated AI Inference via Dynamic Execution Methods
by: Barad, Haim, et al.
Published: (2024)
by: Barad, Haim, et al.
Published: (2024)
CoKV: Optimizing KV Cache Allocation via Cooperative Game
by: Sun, Qiheng, et al.
Published: (2025)
by: Sun, Qiheng, et al.
Published: (2025)
Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System
by: Fang, Yunhua, et al.
Published: (2025)
by: Fang, Yunhua, et al.
Published: (2025)
The Hidden Power of Pure 16-bit Floating-Point Neural Networks
by: Yun, Juyoung, et al.
Published: (2023)
by: Yun, Juyoung, et al.
Published: (2023)
Similar Items
-
ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
by: Liu, Guangda, et al.
Published: (2024) -
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
by: Zhao, Youpeng, et al.
Published: (2024) -
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
by: Zandieh, Amir, et al.
Published: (2024) -
Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
by: Sai, Vishnu, et al.
Published: (2026) -
Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management
by: Zhang, Hang, et al.
Published: (2025)