InfoQ

Serving LLMs at Scale: The Hidden KV Cache Advantage

Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, ...
Unite.AI

Google Open-Sources TorchTPU, Putting Native PyTorch on Its TPUs

Google announced on October 20, 2026, at PyTorch Conference 2026 that TorchTPU, its native PyTorch stack for Tensor ...
blog.csdn

记忆化搜索：优化递归算法的核心技术

原创 最新推荐文章于 2026-10-14 15:48:59 发布 · 9 阅读 本文系统讲解记忆化搜索的核心原理与工程实践，涵盖其本质（空间换时间、消除重叠子问题）、通用实现模式（状态设计、缓存选择、Python ...
blog.csdn

LRU缓存淘汰算法详解：哈希表+双向链表实现与面试考点

文章浏览阅读268次，点赞2次，收藏7次。从缓存淘汰策略出发，解释LRU作为最常用算法的核心原理。在数据结构选型中，哈希表提供O(1)查找，双向链表维护访问顺序，两者结合实现高效LRU Cache。该技术在Redis内存淘汰、MySQL Buffer Pool、CDN缓存等场景中广泛应用，也是大厂后端与算法岗位的高频面试题 ...
XDA Developers

I stopped clearing Windows caches after discovering it was silently costing me performance

Abhinav pivoted from a career in banking to pursue his first love in writing. Even while working full-time, he continued contributing as an editor-at-large, a role he has held for more than 7 years. A ...