风花雪月

深度学习相关论文列表，涵盖推理优化、分布式训练、通信压缩、量化技术等领域的重要论文，包括PipeDream、梯度压缩、量化算法等核心技术。

性能优化技术总结，涵盖CPU和GPU的理论峰值计算性能、内存带宽计算方法，以及深度学习模型优化策略，包括算子优化、图优化、算子融合等技术。

Accelerates large language model inference through modular attention reuse technology, achieving 8x GPU inference and 60x CPU inference TTFT latency improvements, particularly suitable for long-context applications like document QA and recommendation systems.

Optimizes FlashAttention algorithm through fused exponential and multiplication hardware operators (ExpMul), achieving 28.8% area reduction and 17.6% power consumption reduction in 28nm ASIC technology, significantly improving Transformer model efficiency.

Implements efficient block sparse attention mechanism through antidiagonal scoring, achieving 13.5x speedup in long-context Transformer models while maintaining high accuracy across natural language, video understanding, and video generation domains.

PyTorch 2.0 torch.compile编译优化技术详解，包括TorchDynamo、AOT Autograd、PrimTorch和TorchInductor组件，以及torch.compile API的使用方法和代码解析。

Quartz 4静态站点生成器介绍，支持Markdown转网站、Obsidian兼容、全文搜索、图谱视图、wikilinks、LaTeX、语法高亮等功能，提供快速页面加载和热重载开发体验。

In-depth analysis of GPU architectures, covering NVIDIA GPU characteristics including Ampere A100, Turing, Volta, SM counts, CUDA cores, Tensor Core configurations, memory bandwidth, and detailed technical specifications comparison.

GPU管理和监控命令大全，包括nvidia-smi详细参数说明、GPU状态监控、计算模式设置、功耗限制、时钟频率锁定、进程查询等实用命令和配置方法。