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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

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0 stars

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1 watching

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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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

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Packages

Used by

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Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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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Conway's Game of Life

Welcome to my CLI version of Conway's Game of Life! I've written an implementation of Conway's Game of Life before (see here), but I decided to revisit this age-old computer science problem with new insights, new motiviations, and in a new language.

Features

  • CLI: Supports a number of arguments to benchmark and customize the program's starting conditions
  • State Import/Export: Easily import initial game states or export current ones for sharing or later use
  • Optimized for Speed: Leveraging the power of Rust for a blazing fast simulation experience

Optimization & Speed

In traditional implementations of Conway's Game of Life, determining the next state of a cell often involves examining its neighbors and then applying the game's rules. On an infinite grid, that means binary or linear searches that are computationally expensive.

Parallel Row Cursors come in as a game-changer in this context. Although the cell states are still searched sequentially, the reliance on multiple binary or linear searches is almost completely eliminated. Instead of repeatedly searching through data structures to find the states of neighboring cells, we use a scanning 3x3 cursor.

To see the implementation of the parallel cursors, check out crate::engine::scan.

Multi-threading

The simulation can run across multiple worker threads. Use -t/--threads to control the thread count (defaults to 1; use -t 0 for auto).

Installation

  1. Clone the repository:
git clone https://github.com/DevBlocky/cgolrs.git
  1. Navigate to the project directory:
cd cgolrs
  1. Run the project:
cargo run --release

Using Console Mode

cargo run --release -- -c

Importing a State

cargo run --release -- -c -i file.rle

Exporting a State

cargo run --release -- -c -g1000 -o file.rle

For more options, use the help flag:

cargo run --release -- --help

About

Weekend Project: Conway's Game of Life in Rust!

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages