# HG changeset patch # User Christian Urban # Date 1505396923 -3600 # Node ID f1cde0b6cc3027d110c12617c5c94f0ab3a095b6 # Parent 51b47eb732f925f3f67444efeae444f760a92b82 updated diff -r 51b47eb732f9 -r f1cde0b6cc30 bsc-projects-17.html --- a/bsc-projects-17.html Thu Sep 14 12:51:22 2017 +0100 +++ b/bsc-projects-17.html Thu Sep 14 14:48:43 2017 +0100 @@ -129,7 +129,8 @@ So I know they are worth their money. Still, it would be interesting to actually compare their results with my simple rainy-afternoon matcher and potentially “blow away” the regular expression matchers in Python, Ruby and Java (and possibly in Scala too). The application would be to implement a fast lexer for - programming languages, or improve the network traffic analysers in the tools Snort and Bro??? + programming languages, or improve the network traffic analysers in the tools Snort and + Bro.

@@ -207,7 +208,7 @@ very optimised subsets of JavaScript that can be used for this purpose: one is asm.js and the other is emscripten. Since - last year there is even the official Webassembly??? + last year there is even the official Webassembly There is a tutorial for emscripten and an impressive demo which runs the Unreal Engine 3