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10 Papers Every Programmer Should Read (At Least Twice)

by 2 others

I realized that instead of complaining, I could help by pointing to some papers which are easily available online and which (to me at least) point to some of the most interesting ideas about software. To me, these are classic papers which contain deep things you oughta know about code – the material you work with.

added to the toread list

Neil Fraser: Writing: Differential Synchronization

Keeping two or more copies of the same document synchronized with each other in real-time is a complex challenge. This paper describes the differential synchronization algorithm. Differential synchronization offers scalability, fault-tolerance, and responsive collaborative editing across an unreliable network.


MapReduce cookbook for machine learning « Free Search

Here’s a paper from Stanford showing how to use MapReduce to scalably implement ten different machine learning algorithms!

another thing to read


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