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OpenMP_1

Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).

  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.

On the machines in the parallel lab, compile your OpenMP code as follows: g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1" g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1" g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"

On Stampede, compile your OpenMP code as follows:

icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1" icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1" icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"

Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do not modify this script.

Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top to bottom. Use three digits after the decimal point.

Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?

Question 4.1c) Why is this code significantly slower than the pthread code from the previous project? Name the source file “fractal_omp.cpp” and submit it on TRACS.

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Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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OpenMP_1
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
  1. Base your code on the serial code from Project 1.
  2. Make the code print “OpenMP” instead of “serial”.
  3. Do not include any new header files.
  4. Do not change the delta computation.
  5. Only parallelize the for-row loop using a “parallel for” pragma.
  6. Use “default(none)” and list all shared and private variables (excluding constants and variables
that have not yet been declared).
  7. Do not use “num_threads(…)”.
  8. Use “schedule(SCHED)” as the schedule, where “SCHED” will be specified during compilation.
  9. Verify, on small inputs, that the correct fractal is computed.
On the machines in the parallel lab, compile your OpenMP code as follows:
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
g++ -march=native -O3 -fopenmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
On Stampede, compile your OpenMP code as follows:
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_cyc -DSCHED="static,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_dyn -DSCHED="dynamic,1"
icc -xhost -O3 -openmp fractal_omp.cpp -o fractal_gui -DSCHED="guided,1"
Run the code using the submission script at /home1/00976/burtsche/Parallel/fractal_omp.sub. Do
not modify this script.
Question 4.1a) What runtimes do you get (in seconds)? Present the runtimes in a table for the
cyclic, dynamic, and guided schedules from left to right and “increasing” problem sizes from top
to bottom. Use three digits after the decimal point.
Question 4.1b) Why are dynamic and guided substantially faster than the cyclic schedule?
Question 4.1c) Why is this code significantly slower than the pthread code from the previous project?
Name the source file “fractal_omp.cpp” and submit it on TRACS.
About
Parallelize the FOR loop that iterates over the pixel rows in the fractal code (and not the FOR loop over the frames as in the previous projects).
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages