包括优化并行数值计算的很多方法，比如负载均衡、内存访问等。还有些例子。

《Designing Data Intensive Applications》英文mobi版；今年的神书，知乎上大神推荐，玩转大数据必看的书。

设计数据敏感型应用，对多种存储组件进行分析，可以用于存储组件的技术选型，深入理解各种存储组件的优劣：Data-intensive applications are pushing the boundaries of what is possible by making use of these technological developments. We call an application data-intensive if data is its primary challenge—the quantity of data, the complexity of data, or the speed at Preface Preface | xiii which it is changing—as opposed to compute-intensive, where CPU cycles are the bottleneck. The tools and technologies that help data-intensive applications store and process data have been rapidly adapting to these changes. New types of database systems (“NoSQL”) have been getting lots of attention, but message queues, caches, search indexes, frameworks for batch and stream processing, and related technologies are very important too. Many applications use some combination of these.

今年的神书，知乎上大神推荐，玩转大数据必看的书。高清，完整版