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LANL Executorlib Tutorial

Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.

RepositoryDocumentationDeepWikiPublication

Additional links for this tutorial:

RepositoryWebsiteMybinder

The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).

Requirements

The participants should be familiar with:

  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.

Computing Environment

To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.

About

Executorlib Tutorial at Los Alamos National Laboratory (LANL)

workshop.pyiron.org/lanl-executorlib-tutorial

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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
Custom properties
Stars
0 stars
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0 forks
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
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0 forks
Report repository
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
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0 forks
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
Custom properties
Stars
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0 watching
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Report repository
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
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Stars
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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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LANL Executorlib Tutorial
Tutorial to introduce executorlib at Los Alamos National Laboratory (LANL) on Wednesday May 27th 2026.
RepositoryDocumentationDeepWikiPublication
Additional links for this tutorial:
RepositoryWebsiteMybinder
The goal of the tutorial is to provide a general introduction to executorlib to simplify the submission of Python functions to a job scheduler, like Simple Linux Utility for Resource Management (SLURM).
Requirements
The participants should be familiar with:
  • SLURM - the general usage of SLURM and specifically commands like srun, sbatch and squeue.
  • Python - is the programming language we are going to use in this tutorial.
  • mpi4py - as a first introduction to the Message Passing Interface (MPI), we are going to use the mpi4py library.
Computing Environment
To accelerate the setup of the computing environment we are going to first use a shared environment which you can access from your webbrowser. In the later part you can configure executorlib with your High Performance Computing (HPC) cluster of choice. A detailed explanation of the executorlib installation is available as part of the documentation.
About
Executorlib Tutorial at Los Alamos National Laboratory (LANL)
workshop.pyiron.org/lanl-executorlib-tutorial
Resources
Readme
Activity
Custom properties
Stars
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