The Memory Wall in Large Language Model Inference: A Comprehensive Analysis of Advanced KV Cache Compression and Management Strategies

Executive Summary The rapid evolution of Transformer-based Large Language Models (LLMs) has fundamentally altered the landscape of artificial intelligence, transitioning from simple pattern matching to complex reasoning, code generation, and Read More …

Breaking the Memory Wall: An Architectural Analysis of Processing-in-Memory for Data-Intensive Computing

Executive Summary Modern computing is defined by a fundamental paradox: while processing units have achieved unprecedented speeds, their performance is increasingly constrained by the time and energy required to access Read More …