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dgraph.io | ||
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blog.royalsloth.eu
[AI summary] The article discusses the limitations of compilers in optimizing code and highlights the importance of understanding memory and CPU performance. It argues that modern programming languages are not optimized for current hardware, leading to inefficiencies. The author demonstrates that data-oriented programming can significantly improve performance by reducing memory access and leveraging CPU cache. However, object-oriented approaches are still popular due to their simplicity and historical influence, despite their performance drawbacks. The article also touches on other factors like memory bandwidth, disk I/O, and the importance of data layout for performance. |
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mechanical-sympathy.blogspot.com
When trying to build a highly scalable system the single biggest limitation on scalability is having multiple writers contend for any item o... |
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rigtorp.se
This is a short guide describing the latency implications of the virtual memory abstraction. |
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blog.senko.net
As a long-time Hacker News reader, I've seen trends come and go. One of those trends is popularity of programming languages, manifested t... |
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