RyuJIT performance regression with bool to int conversions #4398

Description

@redknightlois

It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

// BenchmarkDotNet=v0.7.6.0
// OS=Microsoft Windows NT 6.2.9200.0
// Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
// CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

MethodJitAvrTimeStdDevop/s
FrameworkLegacyJit1.16 us28.20 ns858517.79
IfThenElseLegacyJit1.08 us44.58 ns929458.93
UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
FrameworkRyuJit1.31 us18.64 ns765539.56
IfThenElseRyuJit1.31 us16.05 ns761023.73
UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

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      , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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      navigator.clipboard.writeText(codeBlock.textContent).then(function() {
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      })();
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      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      RyuJIT performance regression with bool to int conversions #4398

      Description

      @redknightlois

      It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

      // BenchmarkDotNet=v0.7.6.0
      // OS=Microsoft Windows NT 6.2.9200.0
      // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
      // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
      Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

      MethodJitAvrTimeStdDevop/s
      FrameworkLegacyJit1.16 us28.20 ns858517.79
      IfThenElseLegacyJit1.08 us44.58 ns929458.93
      UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
      FrameworkRyuJit1.31 us18.64 ns765539.56
      IfThenElseRyuJit1.31 us16.05 ns761023.73
      UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

      Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

      category:cq
      theme:basic-cq
      skill-level:intermediate
      cost:medium

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          RyuJIT performance regression with bool to int conversions #4398

          Description

          @redknightlois

          It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

          // BenchmarkDotNet=v0.7.6.0
          // OS=Microsoft Windows NT 6.2.9200.0
          // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
          // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
          Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

          MethodJitAvrTimeStdDevop/s
          FrameworkLegacyJit1.16 us28.20 ns858517.79
          IfThenElseLegacyJit1.08 us44.58 ns929458.93
          UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
          FrameworkRyuJit1.31 us18.64 ns765539.56
          IfThenElseRyuJit1.31 us16.05 ns761023.73
          UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

          Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

          category:cq
          theme:basic-cq
          skill-level:intermediate
          cost:medium

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            area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMIenhancementProduct code improvement that does NOT require public API changes/additionsoptimizationtenet-performancePerformance related issue

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              RyuJIT performance regression with bool to int conversions #4398

              Description

              @redknightlois

              It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

              // BenchmarkDotNet=v0.7.6.0
              // OS=Microsoft Windows NT 6.2.9200.0
              // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
              // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
              Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

              MethodJitAvrTimeStdDevop/s
              FrameworkLegacyJit1.16 us28.20 ns858517.79
              IfThenElseLegacyJit1.08 us44.58 ns929458.93
              UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
              FrameworkRyuJit1.31 us18.64 ns765539.56
              IfThenElseRyuJit1.31 us16.05 ns761023.73
              UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

              Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

              category:cq
              theme:basic-cq
              skill-level:intermediate
              cost:medium

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  RyuJIT performance regression with bool to int conversions #4398

                  Description

                  @redknightlois

                  It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

                  // BenchmarkDotNet=v0.7.6.0
                  // OS=Microsoft Windows NT 6.2.9200.0
                  // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
                  // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
                  Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

                  MethodJitAvrTimeStdDevop/s
                  FrameworkLegacyJit1.16 us28.20 ns858517.79
                  IfThenElseLegacyJit1.08 us44.58 ns929458.93
                  UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
                  FrameworkRyuJit1.31 us18.64 ns765539.56
                  IfThenElseRyuJit1.31 us16.05 ns761023.73
                  UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

                  Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

                  category:cq
                  theme:basic-cq
                  skill-level:intermediate
                  cost:medium

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                    area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMIenhancementProduct code improvement that does NOT require public API changes/additionsoptimizationtenet-performancePerformance related issue

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                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      RyuJIT performance regression with bool to int conversions #4398

                      Description

                      @redknightlois

                      It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

                      // BenchmarkDotNet=v0.7.6.0
                      // OS=Microsoft Windows NT 6.2.9200.0
                      // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
                      // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
                      Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

                      MethodJitAvrTimeStdDevop/s
                      FrameworkLegacyJit1.16 us28.20 ns858517.79
                      IfThenElseLegacyJit1.08 us44.58 ns929458.93
                      UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
                      FrameworkRyuJit1.31 us18.64 ns765539.56
                      IfThenElseRyuJit1.31 us16.05 ns761023.73
                      UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

                      Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

                      category:cq
                      theme:basic-cq
                      skill-level:intermediate
                      cost:medium

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                        area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMIenhancementProduct code improvement that does NOT require public API changes/additionsoptimizationtenet-performancePerformance related issue

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          RyuJIT performance regression with bool to int conversions #4398

                          Description

                          @redknightlois

                          It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

                          // BenchmarkDotNet=v0.7.6.0
                          // OS=Microsoft Windows NT 6.2.9200.0
                          // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
                          // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
                          Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

                          MethodJitAvrTimeStdDevop/s
                          FrameworkLegacyJit1.16 us28.20 ns858517.79
                          IfThenElseLegacyJit1.08 us44.58 ns929458.93
                          UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
                          FrameworkRyuJit1.31 us18.64 ns765539.56
                          IfThenElseRyuJit1.31 us16.05 ns761023.73
                          UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

                          Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

                          category:cq
                          theme:basic-cq
                          skill-level:intermediate
                          cost:medium

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                            area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMIenhancementProduct code improvement that does NOT require public API changes/additionsoptimizationtenet-performancePerformance related issue

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              RyuJIT performance regression with bool to int conversions #4398

                              Description

                              @redknightlois

                              It looks like RyuJIT is almost 30% less efficient than legacy in bool-to-int conversions. All 3 methods show more or less the same issue.

                              // BenchmarkDotNet=v0.7.6.0
                              // OS=Microsoft Windows NT 6.2.9200.0
                              // Processor=Intel(R) Core(TM) i5-2500K CPU @ 3.30GHz, ProcessorCount=4
                              // CLR=MS.NET 4.0.30319.42000, Arch=64-bit [RyuJIT]
                              Common: Type=Jit_BoolToInt Mode=Throughput Platform=X64 .NET=Current

                              MethodJitAvrTimeStdDevop/s
                              FrameworkLegacyJit1.16 us28.20 ns858517.79
                              IfThenElseLegacyJit1.08 us44.58 ns929458.93
                              UnsafeConvertLegacyJit595.83 ns5.79 ns1678333.61
                              FrameworkRyuJit1.31 us18.64 ns765539.56
                              IfThenElseRyuJit1.31 us16.05 ns761023.73
                              UnsafeConvertRyuJit896.80 ns6.27 ns1115078.04

                              Code in question: https://gist.github.com/redknightlois/c1ae5ddc6f73c2e53c9b

                              category:cq
                              theme:basic-cq
                              skill-level:intermediate
                              cost:medium

                              Metadata

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                              Assignees

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                                Labels

                                area-CodeGen-coreclrCLR JIT compiler in src/coreclr/src/jit and related components such as SuperPMIenhancementProduct code improvement that does NOT require public API changes/additionsoptimizationtenet-performancePerformance related issue

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