From f0c1f453c924f22ffbc9b398b969d1a045130263 Mon Sep 17 00:00:00 2001 From: Alfred Melch Date: Tue, 16 Jul 2019 17:42:56 +0200 Subject: [PATCH] Writing --- thesis/chapters/chapter05.tex | 29 +- thesis/main.aux | 92 ----- thesis/main.log | 658 ---------------------------------- thesis/main.lol | 4 - thesis/main.pdf | Bin 170327 -> 177105 bytes thesis/main.synctex.gz | Bin 111324 -> 0 bytes thesis/main.toc | 48 --- 7 files changed, 24 insertions(+), 807 deletions(-) delete mode 100644 thesis/main.aux delete mode 100644 thesis/main.log delete mode 100644 thesis/main.lol delete mode 100644 thesis/main.synctex.gz delete mode 100644 thesis/main.toc diff --git a/thesis/chapters/chapter05.tex b/thesis/chapters/chapter05.tex index b02ff23..6bb5088 100644 --- a/thesis/chapters/chapter05.tex +++ b/thesis/chapters/chapter05.tex @@ -1,6 +1,6 @@ % Performance benchmark -In this chapter i will explain the approach to improve the performance of a simplification algorithm in a web browser via WebAssembly. The go-to library for this kind of operation is simplifyJS. It is the javascript implementation of the Douglas-Peucker algorithm with optional radial distance preprocessing. The library will be rebuilt in the C programming language and compiled to Webassembly with emscripten. A webpage is built to produce benchmarking insights to compare the two approaches performance wise. +In this chapter i will explain the approach to improve the performance of a simplification algorithm in a web browser via WebAssembly. The go-to library for this kind of operation is simplifyJS. It is the javascript implementation of the Douglas-Peucker algorithm with optional radial distance preprocessing. The library will be rebuilt in the C programming language and compiled to Webassembly with emscripten. A web page is built to produce benchmarking insights to compare the two approaches performance wise. \subsection{State of the art: simplifyJS} % simplifyJS + turf @@ -19,7 +19,7 @@ Interestingly the library expects coordinates to be a list of object with x and label=lst:turf-transformation ]{../lib/turf-simplify/index.js} -Since it is not clear which case is faster, and given how simple the required changes are, two versions of Simplify.js will be tested: the original version, which expects the coordinates to be in array-of-objects form and the altered version, which operates on nested arrays. Listing \ref{lst:diff-simplify.js} shows an extract of the changes performed on the library. Instead of using properties, the coordinate values are accessed by index. Except for the removal of the lisencing header the alterations are restricted to these kind of changes. The full list of changes can be viewed in \path{lib/simplify-js-alternative/simplify.diff}. +Since it is not clear which case is faster, and given how simple the required changes are, two versions of Simplify.js will be tested: the original version, which expects the coordinates to be in array-of-objects form and the altered version, which operates on nested arrays. Listing \ref{lst:diff-simplify.js} shows an extract of the changes performed on the library. Instead of using properties, the coordinate values are accessed by index. Except for the removal of the licensing header the alterations are restricted to these kind of changes. The full list of changes can be viewed in \path{lib/simplify-js-alternative/simplify.diff}. \lstinputlisting[ @@ -34,7 +34,7 @@ Since it is not clear which case is faster, and given how simple the required ch In scope of this thesis a library will be created that implements the same procedure as simplify.JS in C code. It will be made available on the web platform through WebAssembly. In the style of the model library it will be called simplify.WASM. The compiler to use will be emscripten as it is the standard for porting C code to wasm. -As mentioned the first step is to port simplify.JS to the C programming language. The file \path{/lib/simplify-wasm/simplify.c} shows the attempt. It is kept as close to the Javascript library as possible. This may result in C-untypical coding style but prevents skewed results from unexpected optimizations to the procedure itself. The entrypoint is not the \texttt{main}-function but a function called simplify. This is specified to the compiler as can be seen in \path{/lib/simplify-wasm/Makefile}. Furthermore the functions malloc and free from the standard library are made available for the host environment. Compling the code through emscripten produces a wasm file and the glue code in javascript format. These files are called simplify.wasm and simplify.js respectively. An example usage can be seen in \path{/lib/simplify-wasm/example.html}. Even through the memory access is abstracted in this example the process is still unhandy and far from a drop-in replacement of simplify.JS. Thus in \path{/lib/simplify-wasm/index.js} the a further abstraction to the emscripten emitted code was realised. The exported function \verb simplifyWasm handles module instantiation, memory access and the correct call to the exported wasm code. Finding the correct path to the wasm binary is not always clear however when the code is imported from another location. The proposed solution is to leave the resolving of the code-path to an asset bundler that processes the file in a preprocessing step. +As mentioned the first step is to port simplify.JS to the C programming language. The file \path{lib/simplify-wasm/simplify.c} shows the attempt. It is kept as close to the Javascript library as possible. This may result in C-untypical coding style but prevents skewed results from unexpected optimizations to the procedure itself. The entrypoint is not the \texttt{main}-function but a function called simplify. This is specified to the compiler as can be seen in \path{lib/simplify-wasm/Makefile}. Furthermore the functions malloc and free from the standard library are made available for the host environment. Compling the code through emscripten produces a wasm file and the glue code in javascript format. These files are called simplify.wasm and simplify.js respectively. An example usage can be seen in \path{lib/simplify-wasm/example.html}. Even through the memory access is abstracted in this example the process is still unhandy and far from a drop-in replacement of simplify.JS. Thus in \path{lib/simplify-wasm/index.js} the a further abstraction to the emscripten emitted code was realised. The exported function \verb simplifyWasm handles module instantiation, memory access and the correct call to the exported wasm code. Finding the correct path to the wasm binary is not always clear however when the code is imported from another location. The proposed solution is to leave the resolving of the code-path to an asset bundler that processes the file in a preprocessing step. \lstinputlisting[ float=htpb, @@ -71,9 +71,28 @@ caption=The storeCoords function, label=lst:wasm-util-store-coords ]{../lib/wasm-util/coordinates.js} -\todo[inline]{C code: int* simplify} +\todo{Check for coords length < 2} -\todo[inline]{loadResult} +Now we dive int C-land. Listing \ref{lst:simplify-wasm-entrypoint} shows the entry point for the C code. This is the function that gets called from Javascript. As expected arrays are represented as pointers with corresponding length. The first block of code (line 2 - 6) is only meant for declaring needed variables. Lines 8 to 12 mark the radial distance preprocessing. The result of this simplification is stored in n auxiliary array named \texttt{resultRdDistance}. In this case points will have to point to the new array and the length is adjusted. Finally the Douglas-Peucker procedure is invoked after reserving enough memory. The auxiliary array can be freed afterwards. The problem now is to return the result pointer and the array length back to the calling code. \todo{Fact check. evtl unsigned}The fact that pointers in emscripten are represented by an integer will be exploited to return a fixed size array of two containing the values. A hacky solution but it works. We can now look back at how the javascript code reads the result. + +\lstinputlisting[ +float=tbph, +language=c, +firstline=104, lastline=124, +caption=Entrypoint in the C-file, +label=lst:simplify-wasm-entrypoint +]{../lib/simplify-wasm/simplify.c} + + +Listing \ref{lst:wasm-util-load-result} shows the code to read the values back from module memory. The result pointer and its length are acquired by dereferencing the \texttt{resultInfo}-array. The buffer to use is the heap for unsigned 32-bit integers. This information can then be used to align the Float64Array-view on the 64-bit heap. Constructing the appropriate coordinate representation by reversing the flattening can be looked up in the same file. It is realised in the \texttt{unflattenCoords} function. At last it is important to actually free the memory reserved for both the result and the result-information. The exported method \texttt{free} is the way to go here. + +\lstinputlisting[ +float=tbph, +language=javascript, +firstline=29, lastline=43, +caption=Loading coordinates back from module memory, +label=lst:wasm-util-load-result +]{../lib/wasm-util/coordinates.js} diff --git a/thesis/main.aux b/thesis/main.aux deleted file mode 100644 index 76511ba..0000000 --- a/thesis/main.aux +++ /dev/null @@ -1,92 +0,0 @@ -\relax -\@writefile{toc}{\contentsline {section}{\numberline {1}Introduction}{1}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline {1.1}Binary instruction sets on the web platform}{1}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline {1.2}Performance as important factor for web applications}{1}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline {1.3}Topology simplification for rendering performance}{2}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline 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{1.4}Structure of this thesis}{2}% -\contentsline {section}{\numberline {2}Principles}{3}% -\contentsline {subsection}{\numberline {2.1}Polygon basics}{3}% -\contentsline {subsubsection}{\numberline {2.1.1}Topological aspects}{3}% -\contentsline {subsection}{\numberline {2.2}LineString simplification}{3}% -\contentsline {subsubsection}{\numberline {2.2.1}Positional errors}{3}% -\contentsline {subsubsection}{\numberline {2.2.2}Length errors}{3}% -\contentsline {subsubsection}{\numberline {2.2.3}Area Errors}{3}% -\contentsline {section}{\numberline {3}Algorithms}{4}% -\contentsline {subsection}{\numberline {3.1}n-th point algorithm}{4}% -\contentsline {subsection}{\numberline {3.2}Random-point routine}{4}% -\contentsline {subsection}{\numberline {3.3}Radial distance algorithm}{4}% -\contentsline {subsection}{\numberline {3.4}Perpendicular distance algorithm}{4}% -\contentsline {subsection}{\numberline {3.5}Reumann-Witkam simplification}{4}% -\contentsline {subsection}{\numberline {3.6}Opheim simplification}{4}% -\contentsline {subsection}{\numberline {3.7}Lang simplification}{4}% -\contentsline {subsection}{\numberline {3.8}Douglas-Peucker simplification}{4}% -\contentsline {subsubsection}{\numberline {3.8.1}with reduction parameter}{4}% -\contentsline {subsection}{\numberline {3.9}Jenks simplification}{4}% -\contentsline {subsection}{\numberline {3.10}Visvalingam-Whyatt simplification}{4}% -\contentsline {subsection}{\numberline {3.11}Zhao-Saalfeld simplification}{4}% -\contentsline {subsection}{\numberline {3.12}Summary}{4}% -\contentsline {section}{\numberline {4}WebAssembly}{5}% -\contentsline {subsection}{\numberline {4.1}Introduction to Webassembly}{5}% -\contentsline {subsubsection}{\numberline {4.1.1}Existing compilers}{5}% -\contentsline {subsubsection}{\numberline {4.1.2}Technical hurdles}{5}% -\contentsline {subsubsection}{\numberline {4.1.3}Benefits of WebAssembly}{5}% -\contentsline {subsection}{\numberline {4.2}Two test cases - performance and integration}{6}% -\contentsline {paragraph}{Performance}{6}% -\contentsline {paragraph}{Integration}{6}% -\contentsline {section}{\numberline {5}Benchmark}{7}% -\contentsline {subsection}{\numberline {5.1}State of the art: simplifyJS}{7}% -\contentsline {subsection}{\numberline {5.2}The webassembly solution}{8}% -\contentsline {subsection}{\numberline {5.3}The implementation}{10}% -\contentsline {section}{\numberline {6}Compiling an existing C++ library for use on the web}{11}% -\contentsline {subsection}{\numberline {6.1}State of the art: psimpl}{11}% -\contentsline {subsection}{\numberline {6.2}Compiling to webassembly}{11}% -\contentsline {subsubsection}{\numberline {6.2.1}Introduction to emscripten}{11}% -\contentsline {subsection}{\numberline {6.3}Preserving topology GeoJSON vs TopoJSON}{11}% -\contentsline {subsection}{\numberline {6.4}The implementation}{11}% -\contentsline {section}{\numberline {7}Results}{11}% -\contentsline {subsection}{\numberline {7.1}Benchmark results}{11}% -\contentsline {subsection}{\numberline {7.2}Comparing the results of different algorithms}{11}% -\contentsline {section}{\numberline {8}Conclusion}{12}%