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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-15 05:46:17 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-15 05:46:17 +0000
commit85adc697d2ec2a379ce6d721f0419ae5df3abdb6 (patch)
tree265f329bc4544c6f11a27ac3fd6022f593a10c11 /tools/runtime-env
parentInitial commit. (diff)
downloadmdds-85adc697d2ec2a379ce6d721f0419ae5df3abdb6.tar.xz
mdds-85adc697d2ec2a379ce6d721f0419ae5df3abdb6.zip
Adding upstream version 2.1.1.upstream/2.1.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'tools/runtime-env')
-rw-r--r--tools/runtime-env/Makefile.am11
-rw-r--r--tools/runtime-env/Makefile.in592
-rw-r--r--tools/runtime-env/README.md95
-rw-r--r--tools/runtime-env/main.cpp496
4 files changed, 1194 insertions, 0 deletions
diff --git a/tools/runtime-env/Makefile.am b/tools/runtime-env/Makefile.am
new file mode 100644
index 0000000..3ee3569
--- /dev/null
+++ b/tools/runtime-env/Makefile.am
@@ -0,0 +1,11 @@
+
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diff --git a/tools/runtime-env/Makefile.in b/tools/runtime-env/Makefile.in
new file mode 100644
index 0000000..83dcf1c
--- /dev/null
+++ b/tools/runtime-env/Makefile.in
@@ -0,0 +1,592 @@
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+dvi: dvi-am
+
+dvi-am:
+
+html: html-am
+
+html-am:
+
+info: info-am
+
+info-am:
+
+install-data-am:
+
+install-dvi: install-dvi-am
+
+install-dvi-am:
+
+install-exec-am:
+
+install-html: install-html-am
+
+install-html-am:
+
+install-info: install-info-am
+
+install-info-am:
+
+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+ -rm -f ./$(DEPDIR)/main.Po
+ -rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am:
+
+.MAKE: install-am install-strip
+
+.PHONY: CTAGS GTAGS TAGS all all-am am--depfiles check check-am \
+ check-valgrind-am check-valgrind-drd-am \
+ check-valgrind-drd-local check-valgrind-helgrind-am \
+ check-valgrind-helgrind-local check-valgrind-local \
+ check-valgrind-memcheck-am check-valgrind-memcheck-local \
+ check-valgrind-sgcheck-am check-valgrind-sgcheck-local clean \
+ clean-generic cscopelist-am ctags ctags-am distclean \
+ distclean-compile distclean-generic distclean-tags distdir dvi \
+ dvi-am html html-am info info-am install install-am \
+ install-data install-data-am install-dvi install-dvi-am \
+ install-exec install-exec-am install-html install-html-am \
+ install-info install-info-am install-man install-pdf \
+ install-pdf-am install-ps install-ps-am install-strip \
+ installcheck installcheck-am installdirs maintainer-clean \
+ maintainer-clean-generic mostlyclean mostlyclean-compile \
+ mostlyclean-generic pdf pdf-am ps ps-am tags tags-am uninstall \
+ uninstall-am
+
+.PRECIOUS: Makefile
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/tools/runtime-env/README.md b/tools/runtime-env/README.md
new file mode 100644
index 0000000..043d225
--- /dev/null
+++ b/tools/runtime-env/README.md
@@ -0,0 +1,95 @@
+runtime-env
+===========
+
+This tools performs some benchmarks to determine the optimal loop-unrolling factor
+combined with SIMD features (if available) for `mdds::multi_type_vector`.
+
+Build
+-----
+
+You can build this tool in one of two ways, as illustrated below.
+
+### Autotools
+
+First, run `./autogen.sh` at the project root directory while passing your desired
+compiler flags via `CXXFLAGS` environment variable, like below:
+
+```
+CXXFLAGS="-O3 -march=native -DNDEBUG" ./autogen.sh
+```
+In this example we are using `gcc`, and by specifying `-march=native` it uses
+the architecture type in the current environment as its target. Then change
+directory into `tools/runtime-env`, and run `make runtime-env` to build the program:
+
+```
+cd tools/runtime-env
+make runtime-env
+```
+
+### CMake
+
+To specify custom compiler flags in cmake, run with `cmake -E env CXXFLAGS="..."`
+followed by the usual cmake configuration command. Here is an example of specifying
+`-O3 -march=native -DNDEBUG` as the compiler flags to cmake:
+
+```
+mkdir build
+cd build
+cmake -E env CXXFLAGS="-O3 -march=native -DNDEBUG" cmake ..
+```
+
+Once the build configuration step is finished, build the tool by
+
+```
+cmake --build . --target runtime-env
+```
+or simply
+
+```
+make runtime-env
+```
+
+if you use GNU Make as your backend. The program will be built at `./tools/runtime-env/runtime-env`.
+
+Run it
+------
+
+To run the tool, simply execute it with no arguments. It should show you a progress
+bar indicating that it's performing benchmarks. Once finished, it should display an
+ASCII chart similar to the following:
+
+```
+ Category | Average duration (seconds)
+---------------+-------------------------------------------------------->
+(SoA, 16) | ooooooooooooo 0.04123
+(SoA, 32) | oooooooooooooo 0.04409
+(SoA, 08) | oooooooooooooooo 0.05151
+(AoS, 08) | ++++++++++++++++++ 0.05712
+(AoS, 16) | ++++++++++++++++++ 0.05799
+(AoS, 04) | ++++++++++++++++++ 0.0584
+(SoA, sse2+16) | ooooooooooooooooooo 0.06204
+(AoS, 32) | ++++++++++++++++++++ 0.06285
+(SoA, sse2+08) | oooooooooooooooooooo 0.06412
+(SoA, sse2+04) | ooooooooooooooooooooo 0.0673
+(SoA, 00) | ooooooooooooooooooooo 0.06833
+(SoA, 04) | ooooooooooooooooooooooo 0.07281
+(SoA, sse2+00) | ooooooooooooooooooooooooooooo 0.09283
+(AoS, 00) | +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 0.1712
+
+Storage of SoA with the LU factor of 16 appears to be the best choice
+in this environment.
+```
+
+What the chart shows are the average durations for some artificially created
+block position adjustment tasks, and fewer the number the better. The results
+are sorted in ascending order, so the item at the very top is considered to be
+the most optimum choice in the current run-time environment.
+
+The program also generates the following files:
+
+* graph-output.txt
+* raw-data.csv
+
+`graph-output.txt` simply contains the same ascii graph that was also output
+to the terminal. `raw-data.csv` contains the raw benchmarks results which can
+be useful for further analyses.
diff --git a/tools/runtime-env/main.cpp b/tools/runtime-env/main.cpp
new file mode 100644
index 0000000..c8e543b
--- /dev/null
+++ b/tools/runtime-env/main.cpp
@@ -0,0 +1,496 @@
+/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
+/*************************************************************************
+ *
+ * Copyright (c) 2021 Kohei Yoshida
+ *
+ * Permission is hereby granted, free of charge, to any person
+ * obtaining a copy of this software and associated documentation
+ * files (the "Software"), to deal in the Software without
+ * restriction, including without limitation the rights to use,
+ * copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following
+ * conditions:
+ *
+ * The above copyright notice and this permission notice shall be
+ * included in all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+ * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+ * OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+ * HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+ * WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+ * OTHER DEALINGS IN THE SOFTWARE.
+ *
+ ************************************************************************/
+
+#include <mdds/multi_type_vector/soa/block_util.hpp>
+#include <mdds/multi_type_vector/aos/block_util.hpp>
+
+#include <iostream>
+#include <iomanip>
+#include <vector>
+#include <chrono>
+#include <map>
+#include <sstream>
+#include <fstream>
+#include <limits>
+#include <iterator>
+
+using mdds::mtv::lu_factor_t;
+using std::cerr;
+using std::cout;
+using std::endl;
+
+namespace {
+
+std::string to_string(lu_factor_t lu)
+{
+ int lu_value = int(lu) & 0xFF;
+ bool sse2 = (int(lu) & 0x100) != 0;
+ bool avx2 = (int(lu) & 0x200) != 0;
+
+ std::ostringstream os;
+ os << (sse2 ? "sse2+" : "") << (avx2 ? "avx2+" : "") << std::setw(2) << std::setfill('0') << lu_value;
+
+ return os.str();
+}
+
+std::string reflow_text(std::string s, std::size_t width)
+{
+ // Tokenize the text first.
+ std::vector<std::string> tokens;
+
+ const char* p = s.data();
+ const char* p_end = p + s.size();
+ const char* p0 = nullptr;
+
+ for (; p != p_end; ++p)
+ {
+ if (!p0)
+ p0 = p;
+
+ if (*p == ' ' && p0)
+ {
+ std::string token(p0, p - p0);
+ tokens.emplace_back(p0, p - p0);
+ p0 = nullptr;
+ }
+ }
+
+ if (p0)
+ tokens.emplace_back(p0, p - p0);
+
+ std::vector<std::string> lines(1, std::string());
+
+ for (const std::string& token : tokens)
+ {
+ std::string this_line = lines.back(); // copy
+ if (this_line.empty())
+ this_line = token;
+ else
+ this_line += ' ' + token;
+
+ if (this_line.size() > width)
+ lines.push_back(token);
+ else
+ lines.back() = this_line;
+ }
+
+ std::ostringstream os;
+ std::copy(lines.begin(), lines.end(), std::ostream_iterator<std::string>(os, "\n"));
+ return os.str();
+}
+
+std::string pad_right(std::string s, int width)
+{
+ int gap = width - int(s.size());
+ if (gap < 0)
+ return s;
+
+ return s + std::string(gap, ' ');
+}
+
+class section_timer
+{
+public:
+ explicit section_timer()
+ {
+ m_start_time = get_time();
+ }
+
+ double get_duration() const
+ {
+ double end_time = get_time();
+ return end_time - m_start_time;
+ }
+
+private:
+ double get_time() const
+ {
+ unsigned long usec_since_epoch =
+ std::chrono::duration_cast<std::chrono::microseconds>(std::chrono::system_clock::now().time_since_epoch())
+ .count();
+
+ return usec_since_epoch / 1000000.0;
+ }
+
+ double m_start_time;
+};
+
+class data_handler
+{
+ struct key_type
+ {
+ std::string type;
+ lu_factor_t lu;
+
+ key_type(const std::string& type_, lu_factor_t lu_) : type(type_), lu(lu_)
+ {}
+
+ bool operator<(const key_type& other) const
+ {
+ if (type != other.type)
+ return type < other.type;
+
+ return lu < other.lu;
+ }
+
+ std::string to_string() const
+ {
+ std::ostringstream os;
+ os << '(' << type << ", " << ::to_string(lu) << ')';
+ return os.str();
+ }
+ };
+
+ struct duration_type
+ {
+ double duration = 0.0;
+ int count = 0;
+
+ duration_type(double duration_, int count_) : duration(duration_), count(count_)
+ {}
+
+ std::string to_string() const
+ {
+ std::ostringstream os;
+ os << std::setprecision(4) << duration << '/' << count;
+ return os.str();
+ }
+ };
+
+ using records_type = std::map<key_type, duration_type>;
+ using raw_records_type = std::vector<std::tuple<std::string, lu_factor_t, int, int, double>>;
+ records_type m_records;
+ raw_records_type m_raw_records;
+ int m_insert_count = 0;
+
+ void draw_graph() const
+ {
+ if (m_records.empty())
+ return;
+
+ // Convert to sequence of average durations.
+ std::vector<std::tuple<key_type, double>> averages;
+ averages.reserve(m_records.size());
+
+ for (const auto& kv : m_records)
+ {
+ const duration_type& v = kv.second;
+ averages.emplace_back(kv.first, v.duration / v.count);
+ }
+
+ // Sort by durations.
+ std::sort(averages.begin(), averages.end(), [](const auto& left, const auto& right) -> bool {
+ return std::get<1>(left) < std::get<1>(right);
+ });
+
+ const int n_ticks_max = 55;
+
+ double min_v = std::numeric_limits<double>::max();
+ double max_v = std::numeric_limits<double>::min();
+
+ for (const auto& average : averages)
+ {
+ double v = std::get<1>(average);
+ min_v = std::min(min_v, v);
+ max_v = std::max(max_v, v);
+ }
+
+ double tick_width = max_v / n_ticks_max;
+
+ std::vector<std::pair<std::string, std::string>> lines;
+ lines.reserve(averages.size());
+ int max_label_width = 0;
+
+ for (const auto& average : averages)
+ {
+ const key_type& k = std::get<0>(average);
+ double v = std::get<1>(average);
+
+ lines.emplace_back();
+ auto& line = lines.back();
+
+ int n_ticks = v / tick_width;
+
+ // Create and store the label first.
+ std::ostringstream label;
+ label << '(' << k.type << ", " << to_string(k.lu) << ')';
+ line.first = label.str();
+
+ char tick = k.type == "SoA" ? 'o' : '+';
+
+ // Create and store the bar next.
+ std::ostringstream bar;
+ bar << std::string(n_ticks, tick) << ' ' << std::setprecision(4) << v;
+ line.second = bar.str();
+
+ max_label_width = std::max<int>(max_label_width, line.first.size());
+ }
+
+ for (auto& line : lines)
+ line.first = pad_right(std::move(line.first), max_label_width);
+
+ std::ostringstream graph_out;
+
+ {
+ // Print the top label and axis. Make sure to rewind to erase the
+ // progress text.
+ std::string line = pad_right(" Category", max_label_width);
+ line += " | Average duration (seconds)";
+ graph_out << line << "\n";
+
+ line = std::string(max_label_width, '-') + "-+-" + std::string(n_ticks_max, '-') + '>';
+ graph_out << line << "\n";
+ }
+
+ for (const auto& line : lines)
+ graph_out << line.first << " | " << line.second << "\n";
+
+ graph_out << "\n";
+
+ const key_type& top_key = std::get<0>(averages[0]);
+ std::ostringstream os;
+ os << "Storage of " << top_key.type << " with the LU factor of " << to_string(top_key.lu)
+ << " appears to be the best choice in this environment.";
+
+ graph_out << reflow_text(os.str(), 70) << endl;
+
+ std::string graph_out_s = graph_out.str();
+
+ cout << "\r" << graph_out_s;
+
+ std::ofstream of("graph-output.txt");
+ of << graph_out_s << std::flush;
+ }
+
+ void write_csv() const
+ {
+ std::ofstream of("raw-data.csv");
+ of << "storage,factor,block count,repeat count,duration\n";
+
+ for (const auto& rec : m_raw_records)
+ {
+ const std::string& type = std::get<0>(rec);
+ lu_factor_t lu = std::get<1>(rec);
+ int block_size = std::get<2>(rec);
+ int repeats = std::get<3>(rec);
+ double duration = std::get<4>(rec);
+
+ of << type << "," << to_string(lu) << "," << block_size << "," << repeats << "," << duration << "\n";
+ }
+
+ of << std::flush;
+ }
+
+public:
+ data_handler()
+ {}
+
+ void start()
+ {
+ m_insert_count = 0;
+ }
+
+ void end()
+ {
+ draw_graph();
+ write_csv();
+ }
+
+ void record_time(const std::string& type, lu_factor_t lu, int block_size, int repeats, double duration)
+ {
+ key_type key(type, lu);
+
+ auto it = m_records.lower_bound(key);
+ if (it != m_records.end() && !m_records.key_comp()(key, it->first))
+ {
+ // key exists
+ duration_type& v = it->second;
+ v.duration += duration;
+ ++v.count;
+ }
+ else
+ {
+ // key doesn't yet exist.
+ m_records.insert(it, records_type::value_type(key, {duration, 1}));
+ }
+
+ if (!(++m_insert_count & 0x1F))
+ {
+ int n_ticks = m_insert_count >> 5;
+ cout << "\rprogress: " << std::string(n_ticks, '#') << std::flush;
+ }
+
+ m_raw_records.emplace_back(type, lu, block_size, repeats, duration);
+ }
+};
+
+/**
+ * Class designed to measure run-time performance of AoS multi_type_vector
+ * with various loop-unrolling factors.
+ */
+class mtv_aos_luf_runner
+{
+ data_handler& m_handler;
+
+ struct block
+ {
+ std::size_t position;
+ std::size_t size;
+ void* data;
+
+ block(std::size_t _position, std::size_t _size) : position(_position), size(_size)
+ {}
+ };
+
+ using blocks_type = std::vector<block>;
+
+ template<lu_factor_t Factor>
+ void measure_duration(blocks_type blocks, int block_size, int repeats)
+ {
+ using namespace mdds::mtv::aos::detail;
+
+ section_timer st;
+ for (int i = 0; i < repeats; ++i)
+ adjust_block_positions<blocks_type, Factor>{}(blocks, 0, 1);
+
+ m_handler.record_time("AoS", Factor, block_size, repeats, st.get_duration());
+ }
+
+public:
+ mtv_aos_luf_runner(data_handler& dh) : m_handler(dh)
+ {}
+
+ void run(int block_size, int repeats)
+ {
+ blocks_type blocks;
+
+ std::size_t pos = 0;
+ std::size_t size = 2;
+ for (int i = 0; i < block_size; ++i)
+ {
+ blocks.emplace_back(pos, size);
+ pos += size;
+ }
+
+ measure_duration<lu_factor_t::none>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu4>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu8>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu16>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu32>(blocks, block_size, repeats);
+ }
+};
+
+class mtv_soa_luf_runner
+{
+ data_handler& m_handler;
+
+ struct blocks_type
+ {
+ std::vector<std::size_t> positions;
+ std::vector<std::size_t> sizes;
+ std::vector<void*> element_blocks;
+ };
+
+ template<lu_factor_t Factor>
+ void measure_duration(blocks_type blocks, int block_size, int repeats)
+ {
+ using namespace mdds::mtv::soa::detail;
+
+ section_timer st;
+ for (int i = 0; i < repeats; ++i)
+ adjust_block_positions<blocks_type, Factor>{}(blocks, 0, 1);
+
+ m_handler.record_time("SoA", Factor, block_size, repeats, st.get_duration());
+ }
+
+public:
+ mtv_soa_luf_runner(data_handler& dh) : m_handler(dh)
+ {}
+
+ void run(int block_size, int repeats)
+ {
+ blocks_type blocks;
+
+ std::size_t pos = 0;
+ std::size_t size = 2;
+ for (int i = 0; i < block_size; ++i)
+ {
+ blocks.positions.push_back(pos);
+ blocks.sizes.push_back(size);
+ pos += size;
+ }
+
+ measure_duration<lu_factor_t::none>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu4>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu8>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu16>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::lu32>(blocks, block_size, repeats);
+#if SIZEOF_VOID_P == 8 && defined(__SSE2__)
+ measure_duration<lu_factor_t::sse2_x64>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::sse2_x64_lu4>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::sse2_x64_lu8>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::sse2_x64_lu16>(blocks, block_size, repeats);
+#endif
+#if SIZEOF_VOID_P == 8 && defined(__AVX2__)
+ measure_duration<lu_factor_t::avx2_x64>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::avx2_x64_lu4>(blocks, block_size, repeats);
+ measure_duration<lu_factor_t::avx2_x64_lu8>(blocks, block_size, repeats);
+#endif
+ }
+};
+
+} // namespace
+
+int main()
+{
+ int block_count_init = 5;
+ int block_count_step = 5;
+ int block_count_max = 300;
+ int repeats = 1000000;
+
+ data_handler dh;
+ dh.start();
+
+ for (int block_count = block_count_init; block_count <= block_count_max; block_count += block_count_step)
+ {
+ mtv_aos_luf_runner runner(dh);
+ runner.run(block_count, repeats);
+ }
+
+ for (int block_count = block_count_init; block_count <= block_count_max; block_count += block_count_step)
+ {
+ mtv_soa_luf_runner runner(dh);
+ runner.run(block_count, repeats);
+ }
+
+ dh.end();
+
+ return EXIT_SUCCESS;
+}
+
+/* vim:set shiftwidth=4 softtabstop=4 expandtab: */