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polymatheiaPolymatheia is hyPiRion's webpage. Blogposts and other personal information may be found here.
http://www.hypirion.com/
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polymatheia | hypirion.com Reviews
https://hypirion.com
Polymatheia is hyPiRion's webpage. Blogposts and other personal information may be found here.
hypirion.com
polymatheia - Suboptimal Optimisations
http://www.hypirion.com/musings/suboptimal-optimisations
While theoretical performance and asymptotic runtimes are nice, they don't take constant factors into account. Sadly, microbenchmarks doesn't represent real world performance well either. To benchmark data structure and algorithm implementations for real world usage, one should do it in a real program in order to get realistic input and the memory structure of a program. Nope, the dummy reduces the possibility of that. Branch misprediction? Nope, the dummy just removes a lot of those. After some head scr...
polymatheia - Persistent Vector Performance Summarised
http://www.hypirion.com/musings/persistent-vector-performance-summarised
Persistent Vector Performance Summarised. Oh my, this is my last blogpost on the persistent vector. In the previous blogposts, we've looked at how to do efficient immutable updates. On the vector, we've looked at indexing. Works, and how transients. Can be implemented. Now we're only left with two big questions: Why a branching factor of 32, and what is "effectively constant time"? We will also have a quick peek into its memory consumption. A B-tree with 2-4 keys per node. So for my master's thesis, I di...
polymatheia - How To Cancel A Blocking Read In Java
http://www.hypirion.com/musings/how-to-cancel-a-blocking-read
How To Cancel A Blocking Read In Java. Update: The ZombieInputStream I've talked about, now renamed to RevivableInputStream, is available in this Java library I've created: com.hypirion/io. It should be fairly straightforward to use if you came here looking for a solution on how to cancel blocking reads. In the project manager Leiningen. To create subprocesses in Java, you use the Runtime's. Method (For example this one. This returns a Process, where you can call specific methods to get its sysin, sysout...
polymatheia - Persistent Vector Performance
http://www.hypirion.com/musings/persistent-vector-performance
This musing will be filled with very many small details related to persistent and transient vector performance. If you just want a summary of these findings instead this detailed explanation, you should look at the blogpost Persistent Vector Performance Summarised. Instead. It also assumes some familiarity with the persistent vector, so if you haven't already, you should probably look at my blogpost series on the persistent vector. Before I go into that, however, we had the case of the somewhat mysteriou...
polymatheia - Understanding Clojure's Persistent Vector, pt. 1
http://www.hypirion.com/musings/understanding-persistent-vector-pt-1
Understanding Clojure's Persistent Vectors, pt. 1. You may or may not heard about Clojure's persistent vectors. It is a data structure invented by Rich Hickey (influenced by Phil Bagwell's paper on Ideal Hash Trees. For Clojure, which gives practically O(1) runtime for appends, updates, lookups and subvec. As they are persistent, every modification creates a new vector instead of changing the old one. So, how do they work? S contain at most two elements. The. As an example, take a look at the tree below:...
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hypios | another problem solved
January 11, 2010 by. Come think with us. 8230;to www.hypios.com/thinking. Since we’re blogging from the main hypios site, you can read our thoughts, leave comments, browse problems, and connect with Solvers on the hypios network, all in one place. Put on your thinking caps and update your bookmarks. We’ll see you there. Pensive gorilla from ben pollard. Posted in Hypios News. Thinking about the future of search, Part 2: Semantic search. December 7, 2009 by. Semantics and the future of search. Search depe...
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polymatheia
I have recently written a rather long blogpost on the performance of the Persistent Vector, along with some ways to speed the Clojure implementation a bit up. It's available on Persistent Vector Performance. And I believe a good read if you're interested in these kinds of details. For people not that interested in the details, it's probably best to have a look at the summary. Lockfiles Are Not the Only Option. From Transducers to Conduits and Back Again. Clojure's Transducers in Haskell.
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