Links

Blogs

• Brendan D. Gregg 性能优化大神，值得关注
• dog250 老哥对Linux内核和网络理解很深，值得阅读
• Linux TCP/IP Stack 博主主要在分析 Linux 内核协议栈，另外还包括Linux系统编程，中文
• Parallel Labs 虽然博主不怎么更新了，但以前的文章值得一读，并行计算和性能优化
• Dennis Yurichev / Денис Юричев . Reverse Engineering for Beginners . SAT/SMT by examples . 逆向工程权威指南.异步社区
• Timo Bingmann . 卡尔斯鲁厄理工学院(Karlsruhe Institute of Technology)教授，算法方面，可视化排序算法(The Sound of Sorting - “Audibilization” and Visualization of Sorting Algorithms) . github
• Jeff Preshing . 并行与并发方面值得一读，还有C++方面
• Geoff Langdale . hyperscan 主要开发人员
• Daniel Lemire’s blog . Daniel Lemire is a computer science professor at the University of Quebec (Canada). His research is focused on software performance and data engineering. He is a techno-optimist. SIMD 方面的造诣很深
• Gonzalo Navarro . 信息检索大神，Flexible Pattern Matching in Strings 作者

University

• Carnegie Mellon University School of Computer Science . 卡内基梅隆大学计算机
  • CMU 15-418/15-618: Parallel Computer Architecture and Programming 并行计算的体系结构和编程，有视频PPT，讲解的很细，值得深入学习
  • CMU 15-451/651: Algorithms the design and analysis of algorithms.
  • CMU 15-853: Algorithms in the “Real World”
  • CMU 15-213/18-213/15-513: Intro to Computer Systems
  • CMU 15-210: Parallel and Sequential Data Structures and Algorithms
  • CMU 15-897: Parallel Computing: Theory and Practice
• Stanford University Theory Group . 斯坦福大学理论组？
  • Tim Roughgarden
    • Algorithms Illuminated Part 1: The Basics . 算法详解（卷1）——算法基础
    • Algorithms Illuminated Part 2: Graph Algorithms and Data Structures
  • CS 161: Design and Analysis of Algorithms
  • CS 166: Data Structures
  • CS 168: The Modern Algorithmic Toolbox
  • CS 261: Optimization and Algorithmic Paradigms
  • CS 261: A Second Course in Algorithms
  • CS 264: Beyond Worst-Case Analysis
• [University of Illinois Urbana-Champaign] . 伊利诺伊大学厄巴纳 - 香槟分校
  • Jeff Erickson
    • 🔥Algorithms textbook
    • CS/ECE 374: Introduction to Algorithms & Models of Computation
• 中国科学技术大学计算机学院课程资源

University of Cambridge

• Department of Computer Science and Technology - The Computer Laboratory
  • Course 2017–18 Algorithms this course is to provide an introduction to computer algorithms and data structures, with an emphasis on foundational material.
  • Course 2017–18 Operating Systems this course is to provide a general understanding of the structure and key functions of the operating system. Case studies will be used to illustrate and reinforce fundamental concepts.
  • Course 2017–18 Numerical Methods
    1. an introduction to (IEEE) floating-point data representation and arithmetic;
    2. illustrations of how naïve implementations of obvious mathematics can go badly wrong;
    3. a study of several standard numerical processes, algorithms and techniques.
  • Course 2017–18 Concurrent and Distributed Systems the first half of the course is to introduce concurrency control concepts and their implications for system design and implementation. The aims of the latter half of the course are to study the fundamental characteristics of distributed systems, including their models and architectures; the implications for software design; some of the techniques that have been used to build them; and the resulting details of good distributed algorithms and applications.
  • Course 2017–18 Advanced Algorithms introduce advanced techniques for the design and analysis of algorithms that arise in a variety of applications. A particular focus will be on parallel algorithms, linear programming and approximation algorithms.
  • Course 2017–18 Advanced Operating Systems Systems research refers to the study of a broad range of behaviours arising from complex system design, including: low-level operating systems; resource sharing and scheduling; interactions between hardware and software; network-protocol design and implementation; separation of mutually distrusting parties on a common platform; and control of distributed-system behaviours such as concurrency and data replication.
  • Course 2017–18 High performance networking This module provides an introduction to High Performance Networking, it explores both software and hardware aspects and provides the students an opportunity to experience high performance networking design and usage first hand.