From 87486c992bd61088a237078e4aba43b52448e239 Mon Sep 17 00:00:00 2001 From: Alfred Melch Date: Fri, 16 Aug 2019 14:35:01 +0200 Subject: [PATCH] writing --- thesis/chapters/05-discussion.tex | 1 - thesis/main.pdf | Bin 1892850 -> 1891568 bytes 2 files changed, 1 deletion(-) diff --git a/thesis/chapters/05-discussion.tex b/thesis/chapters/05-discussion.tex index 8afc3ab..a8f2721 100644 --- a/thesis/chapters/05-discussion.tex +++ b/thesis/chapters/05-discussion.tex @@ -25,7 +25,6 @@ The variance it very low when the preprocessing is turned off through the high q So for when the performance of Simplify.wasm was addressed it meant the time spent for the whole process of preparing memory to running the algorithm in wasm context to loading back the result to JavaScript. This makes sense when comparing it to the JavaScript library with the motive to replace it one for one. It does however not produce meaningful comparisons of WebAssembly performance in contrast to the native JavaScript runtime. -\todo[inline]{Check up} %This is because until Simplify.wasm actually gets to the WebAssembly computation it will take some time to prepare the data and load it back afterwards. To see how long that is the additional chart type "Simplify.wasm runtime insights" was created. In figures \ref{fig:win_edge_simplify_stack_false} and \ref{fig:win_edge_simplify_stack_true} the results can be seen. Each data point contains a stacked column to represent the proportion of time spent for each task. The blue section represents the time spent to initialize the memory, the red one the execution of the compiled WebAssembly code. At last the green part will show the time spent for getting the coordinates back in the right format. First the parts where JavaScript is run will be examined. There is as good as no variance in the memory initialization. This is obviously due to the fact that this step is not dependent on any other parameter than the polyline length. Initial versions of the library produced in this thesis were not as efficient in flattening the coordinate array as the final version. By replacing the built-in \texttt{Array.prototype.flat}-method with a simple for loop a good amount optimization was achieved on the JavaScript side of the Simplify.wasm process. The flat method is a rather new feature of ECMAScript and its performance might be enhanced in future browser versions. This example shows however that when writing JavaScript code one can quickly deviate from the "fast path" even when dealing with simple problems. diff --git a/thesis/main.pdf b/thesis/main.pdf index 3b2ce538f2bedf3e00edbc1cb9aca8d89b6ede7d..251fc192f6031363e01ce61b83fb8ffe213ca65c 100644 GIT binary patch delta 54379 zcmZU)1yEc~w>8Yn;O>?Lch?ypNN@@6?h>5fK3IU@J`h|If;)qIa6-`FL4vyz^e4~r z-h1Er{;G4T_UY57d-vWwHLKU^KI?TmX?CmTK?ZRPLh62E)&hatf-nFdA$MIHPH78} z3zGb9_zcL$S7$h4hLp^M%m)(W<%XF>k}*T|7hM+x@B@D8Tx^W?D)eP9DST#8?w@yX zv^GpE+gd*Z(RYIx@k`d}KW^_|^Pvr=a2C{k?{%8hNzL7%HDN$pBzT#IRsPley`T0&!Dz9?_O()214!!<` z#WyL`)lYqSNL||Rkp^cA>JV$An}C*EQf~-1*mQyp@a33-Uv4OHS#ise;GznH$j~zc zwuq^C`9pSO#?JNviIq7nkku7#;O45DR8Qh zXDy1htSc?ZP}?>Jsl7aokmb!RuDUMq_;atTFNvr^nelPQ$VpTXF=D%a04?oTS={T0 zX;4uk1cEKnlROT1i|RPG&=X#{p`JQmawARGaetvPwcQZ-gt}w1fp{9nc@hNbH0mp- z*?Ysg6yzPZ3&R`0`$Qk+M&1KeklPg~r(g0w)<{g41lXLdf3pO4D(L71%5xgy?&ZJB zRIY;O(2W_B>=$G?Pkk<)fAPd@aEs#{ugVU#O`Fo=+uV%&g&LLPc3ohoWpuZSE#2g` z^m{~z^~^KkTm>E+e6S-!6( 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