| [16269] | 1 | # Build instructions |
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| 2 | |
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| 3 | 1) Create a folder to hold the build |
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| 4 | |
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| 5 | `mkdir build` |
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| 6 | |
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| 7 | `cd build` |
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| 8 | |
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| 9 | 2) Run CMake |
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| 10 | |
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| 11 | - Visual Studio |
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| 12 | |
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| [16356] | 13 | `cmake -G "Visual Studio 15 2017 [arch]" <path-to-repository>`. Leave `arch` empty for x86 or `Win64` for x64. |
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| [16269] | 14 | |
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| 15 | `cmake --build . --config Release` |
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| 16 | |
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| 17 | - MinGW |
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| 18 | |
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| 19 | `cmake -G "MinGW Makefiles" -DCMAKE_BUILD_TYPE=Release|Debug`. CMake supports different build types: `Release`, `Debug`, `MinSizeRel` and `RelWithDebInfo`. |
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| 20 | |
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| 21 | `cmake --build .` or `make` or `make VERBOSE=1` |
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| 22 | |
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| 23 | The build system generates two targets, one using the standard math library functions (`std::exp`, `std::log`, etc.) and the other using functions from the [vdt](https://github.com/dpiparo/vdt) library (described in more detail in [this talk from CERN](https://indico.cern.ch/event/202688/contributions/1487957/attachments/305612/426820/OpenLabFPWorkshop_9_2012.pdf)). A performance comparison with existing HL interpreters is given below. MinGW and MSVC builds of this library were tested. The non-vdt MinGW binary suffers significant peformance loss due to trancendental functions `log` and `exp`. All MinGW binaries also exhibit performance loss with the `pow` and `root` functions. Batched versions take advantage of auto-vectorization. Overall the `Native-MinGW-Vdt[BatchSize=64]` performs the best on the selected grammars. Units in the table correspond to billion node evaluations per second. |
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| 24 | |
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| 25 | |
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| 26 | # Performance |
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| 27 | |
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| 28 | ## Arithmetic Grammar |
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| 29 | |
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| 30 | | Rows | StandardInterpreter | LinerInterpreter | ILEmittingInterpreter | CompiledTreeInterpreter | Native-MSVC-Std | Native-MSVC-Vdt | Native-MinGW-Std | Native-MinGW-Vdt | Native-MSVC-Std[BatchSize=64] | Native-MSVC-Vdt[BatchSize=64] | Native-MinGW-Std[BatchSize=64] | Native-MinGW-Vdt[BatchSize=64] | |
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| 31 | |:-----:|:-------------------:|:----------------:|:---------------------:|:-----------------------:|:---------------:|:---------------:|:----------------:|:----------------:|:-----------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:| |
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| 32 | | 1000 | 0.0430 | 0.2115 | 0.0922 | 0.0817 | 0.5487 | 0.5118 | 0.5512 | 0.5665 | 1.2304 | 1.1942 | 1.1942 | 1.2688 | |
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| 33 | | 2000 | 0.0488 | 0.2048 | 0.1584 | 0.1501 | 0.5845 | 0.5803 | 0.5817 | 0.5668 | 1.3247 | 1.1497 | 1.3693 | 1.3617 | |
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| 34 | | 3000 | 0.0487 | 0.2087 | 0.2142 | 0.2049 | 0.5832 | 0.5678 | 0.5851 | 0.5722 | 1.4745 | 1.2876 | 1.4986 | 1.4986 | |
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| 35 | | 4000 | 0.0488 | 0.2113 | 0.2492 | 0.2423 | 0.4828 | 0.5254 | 0.5472 | 0.5696 | 1.5237 | 1.5190 | 1.4555 | 1.4341 | |
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| 36 | | 5000 | 0.0489 | 0.2072 | 0.2645 | 0.2576 | 0.5394 | 0.4646 | 0.5788 | 0.5618 | 1.3790 | 1.0923 | 1.5276 | 1.5509 | |
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| 37 | | 6000 | 0.0486 | 0.2065 | 0.3038 | 0.3248 | 0.5875 | 0.5861 | 0.5020 | 0.4713 | 1.5239 | 1.0601 | 1.4897 | 1.5399 | |
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| 38 | | 7000 | 0.0489 | 0.2082 | 0.3261 | 0.3518 | 0.5751 | 0.5869 | 0.5805 | 0.5993 | 1.1952 | 1.0627 | 1.2332 | 1.2191 | |
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| 39 | | 8000 | 0.0487 | 0.2086 | 0.3467 | 0.3760 | 0.5890 | 0.5737 | 0.5781 | 0.6024 | 1.3660 | 1.5192 | 1.3622 | 1.4428 | |
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| 40 | | 9000 | 0.0485 | 0.2033 | 0.3653 | 0.3924 | 0.5915 | 0.5918 | 0.5778 | 0.5855 | 1.4990 | 1.5476 | 1.5742 | 1.5325 | |
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| 41 | | 10000 | 0.0486 | 0.2048 | 0.3749 | 0.4080 | 0.5825 | 0.6015 | 0.5797 | 0.6069 | 1.5221 | 1.5671 | 1.4601 | 1.5958 | |
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| 42 | |
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| 43 | ## TypeCoherent Grammar |
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| 44 | |
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| [16274] | 45 | | Rows | StandardInterpreter | LinerInterpreter | ILEmittingInterpreter | CompiledTreeInterpreter | Native-MSVC-Std | Native-MSVC-Vdt | Native-MinGW-Std | Native-MinGW-Vdt | Native-MSVC-Std[BatchSize=64] | Native-MSVC-Vdt[BatchSize=64] | Native-MinGW-Std[BatchSize=64] | Native-MinGW-Vdt[BatchSize=64] | |
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| 46 | |:-----:|:-------------------:|:----------------:|:---------------------:|:-----------------------:|:---------------:|:---------------:|:----------------:|:----------------:|:-----------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:| |
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| 47 | | 1000 | 0.0435 | 0.1522 | 0.0813 | 0.0732 | 0.3049 | 0.3074 | 0.2419 | 0.3098 | 0.7542 | 0.7928 | 0.3049 | 1.1368 | |
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| 48 | | 2000 | 0.0441 | 0.1569 | 0.1254 | 0.1165 | 0.3066 | 0.3138 | 0.2407 | 0.3170 | 0.7932 | 0.8429 | 0.3199 | 1.2424 | |
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| 49 | | 3000 | 0.0441 | 0.1536 | 0.1521 | 0.1476 | 0.3115 | 0.3088 | 0.2397 | 0.3136 | 0.8595 | 0.8675 | 0.3268 | 1.3074 | |
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| 50 | | 4000 | 0.0440 | 0.1559 | 0.1708 | 0.1692 | 0.3122 | 0.3166 | 0.2420 | 0.3172 | 0.8443 | 0.8918 | 0.3247 | 1.3084 | |
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| 51 | | 5000 | 0.0436 | 0.1543 | 0.1829 | 0.1852 | 0.3119 | 0.3138 | 0.2355 | 0.3175 | 0.8634 | 0.8872 | 0.3165 | 1.3024 | |
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| 52 | | 6000 | 0.0439 | 0.1539 | 0.1950 | 0.1939 | 0.3091 | 0.3060 | 0.2389 | 0.3127 | 0.8758 | 0.9049 | 0.3284 | 1.3058 | |
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| 53 | | 7000 | 0.0437 | 0.1553 | 0.2013 | 0.2055 | 0.3131 | 0.2835 | 0.2403 | 0.3141 | 0.8542 | 0.8989 | 0.3292 | 1.2941 | |
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| 54 | | 8000 | 0.0442 | 0.1530 | 0.2084 | 0.2095 | 0.3109 | 0.3096 | 0.2381 | 0.3132 | 0.8804 | 0.9049 | 0.3286 | 1.3383 | |
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| 55 | | 9000 | 0.0440 | 0.1552 | 0.2127 | 0.2222 | 0.3107 | 0.2944 | 0.2385 | 0.3035 | 0.8359 | 0.9049 | 0.3171 | 1.2707 | |
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| 56 | | 10000 | 0.0439 | 0.1554 | 0.2133 | 0.2274 | 0.3118 | 0.2870 | 0.2385 | 0.3089 | 0.8424 | 0.9023 | 0.3187 | 1.3271 | |
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