Optimizing KV Cache Eviction in LLMs
Q1'24: Technology Update – Low Precision and Model Optimization
A lot of effort is dedicated to KV-cache optimization of LLMs. Methods such as low-bit quantization and token eviction are getting ...
LLM inference optimization: Architecture, KV cache and Flash attention
LLM inference optimization: Architecture, KV cache and Flash attention. 1.5K views · 2 months ago ...more ...
2023-7-2 arXiv roundup: Self-supervised eval, Prompting text ...
They propose an eviction policy for entries in your inference-time KV cache. To help design this policy, ...
NACL: A General and Effective KV Cache Eviction Framework for ...
In this paper, we propose NACL, a general framework for long-context KV cache eviction that achieves more optimal and efficient eviction in a ...
LLM Inference - Hw-Sw Optimizations - Juniper Elevate Community
Optimizing KV Cache. Batching is critical to improving the throughput ... After that, it stops processing those evicted requests and stops ...
Optimizing KV Cache Eviction in LLMs: Adaptive ... - Paper Reading
Optimizing KV Cache Eviction in LLMs: Adaptive Allocation for Enhanced Budget Utilization. 2024-07-16 09:53:32. Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S ...
LLM inference, such as activations or KV cache, as suggested by ... it lacks fine-grained control over cache usage per process or buffer eviction ...
Junchen Jiang's Post - LinkedIn
Our findings reveal that even KV caches optimized by eviction ... LLM profiling guides KV cache optimization · 94 · Like Comment. Share. Copy
KV cache. Chunk 1. KV cache. Chunk 2. LLM. LLM. (b) Full KV recompute gives ... evict the least recently used KV cache. In this paper, we only focus on ...
Q-Hitter: A Better Token Oracle for Efficient LLM Inference via ...
KV Cache Reduction. Caching, quintessential for en- hancing system performance, necessitates the formulation of proficient eviction strategies to manage data ...
Serving-Large-Language-Models-Run-ai-Benchmarking ...
Memory management of KV cache is a crucial aspect of LLM serving. It is ... evicting KV cache by allocating sufficient resources ahead of time. Through ...
New Solutions on LLM Acceleration, Optimization, and Application
Another significant advancement is the use of KV Cache compression [36], which im- plements eviction policies to selectively retain tokens in ...
Fast State Restoration in LLM Serving with HCache - Youmin Chen
The KV cache are evicted when one round of conversation ends. TTFT and ... Recent work optimized for stateful LLMs all maintain the KV cache as is.
InfiniGen: Efficient Generative Inference of Large Language Models ...
ure 4 also illustrates that the impact of the KV cache eviction varies across the layers in LLMs. For Layer 0, both H2O and. Optimal show a ...
Locret: Enhancing Eviction in Long-Context LLM Inference with ...
Existing KV cache compression methods, such as quantization, face memory bottlenecks as context length increases, while static-sized caches, ...
D2O: Dynamic Discriminative Operations for Efficient ... - NASA ADS
Efficient inference in Large Language Models (LLMs) is impeded by the growing memory demands of key-value (KV) caching, especially for longer sequences.
CaM: Cache Merging for Memory-efficient LLMs Inference
However, such cache eviction invariably leads to output perturbation, regardless of the token choice. This perturbation escalates with the compression ratio ...
Tutorial on GPU Optimization - CERN Indico
KV Cache Contents: TensorRT-LLM optimizes inference on. NVIDIA GPUs … Page 25. Multi- ...
Keep the Cost Down: A Review on Methods to Optimize LLM's KV ...
goal of KV Cache optimization is to reduce memory usage by compressing the Keys and Values in the KV pairs. ... Trade-offs in Deletion vs.
BumbleBee: Dynamic KV-Cache Streaming Submodular ...
Applications of submodularity to LLMs: INGENIOUS (Renduchintala et al., 2023) is a tech- nique that uses submodular optimization for selecting representative ...