并发面试必备系列之并发基础与内存模型 - 知乎



并发面试必备系列之并发基础与内存模型 - 知乎

《Awesome Interviews》 归纳的常见面试题中,无论前后端,并发与异步的相关知识都是面试的中重中之重,本系列即对于面试中常见的并发知识再进行回顾总结;你也可以前往 《Awesome Interviews》,在实际的面试题考校中了解自己的掌握程度。也可以前往《Java 实战》、《Go 实战》等了解具体编程语言中的并发编程的相关知识。

随着硬件性能的迅猛发展与大数据时代的来临,为了让代码运行得更快,单纯依靠更快的硬件已无法满足要求,并行和分布式计算是现代应用程序的主要内容;我们需要利用多个核心或多台机器来加速应用程序或大规模运行它们,并发编程日益成为编程中不可忽略的重要组成部分。

简单定义来看,如果执行单元的逻辑控制流在时间上重叠,那它们就是并发(Concurrent)的;由此定义可扩展到非常广泛的概念,其向下依赖于操作系统、存储等,与分布式系统、微服务等,而又会具体落地于 Java 并发编程、Go 并发编程、JavaScript 异步编程等领域。云计算承诺在所有维度上(内存、计算、存储等)实现无限的可扩展性,并发编程及其相关理论也是我们构建大规模分布式应用的基础。


Read full article from 并发面试必备系列之并发基础与内存模型 - 知乎


No comments:

Post a Comment

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts