#Best location for oberon system drop generator#

But to play devil's advocate, what's wrong with the Java approach or the v8 approach? Is it just that they are suboptimal in terms of efficiency, or is there something that SDE can accomplish that they can't? One of Franz' PhD students was Andreas Gal, who wrote the paper on trace trees and applied it to JIT'ing Javascript, and worked as CTO at Mozilla.

#Best location for oberon system drop generator#

It's still one of my favorite papers, and one day I still want to go down the route of actually implementing SDE properly (there are implementations for Oberon - one of the early remarkable feats was that because of the more compact representation, on MacOberon it was on some hardware faster to load and generate code from these 'slim binaries' than it was to just load a native binary, because the code generator was fast enough to beat the disk IO cost of loading a larger binary.) Published in '94, it unfortunately was totally overshadowed by Java. similar to Huffman coding) that it exploits beautifully to both compress the tree and to use heuristics (the same on the encoder and decoder) to generate templated code fragments to allow the code generator on load time to do less work. His thesis was on Semantic Dictionary Encoding - a method for storing a compact semantic tree representation of a program in what is effectively a prefix code (e.g. Prof Franz did his PhD under Niklaus Wirth. Compulsory Michael Franz (author of the linked paper) fanboy-ing: