feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

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Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
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@li041

@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

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Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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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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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
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@li041

@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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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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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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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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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
li041 wants to merge 1 commit into
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@li041

@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

Copy link

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

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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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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
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@li041li041 commented Dec 11, 2025

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This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

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Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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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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feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

Draft
li041 wants to merge 1 commit into
Starry-OS:mainfrom
li041:main
Draft

feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
li041 wants to merge 1 commit into
Starry-OS:mainfrom
li041:main

Conversation

@li041

@li041li041 commented Dec 11, 2025

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Contributor

This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

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Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

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Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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2 participants

@li041
, '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); } })(); })();
Skip to content

feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns - #84

Draft
li041 wants to merge 1 commit into
Starry-OS:mainfrom
li041:main
Draft

feat(smp): track per-task CPU residency to avoid unnecessary cross-core TLB shootdowns#84
li041 wants to merge 1 commit into
Starry-OS:mainfrom
li041:main

Conversation

@li041

@li041li041 commented Dec 11, 2025

Copy link
Copy Markdown
Contributor

This PR improves the SMP and IPI infrastructure and introduces per-task CPU residency
tracking to reduce unnecessary cross-core TLB shootdowns.

Background

Cross-core TLB flushes are expensive and should be avoided when possible.
Previously, the kernel lacked sufficient information to determine which CPUs
a task had actually run on, resulting in overly conservative TLB shootdowns.
In addition, the underlying IPI mechanism had several limitations that
prevented reliable cross-core synchronization.

What these PRs do

  • Fix and enhance the low-level IPI mechanism
    • Fix bugs in send_ipi where notifications could only target a single CPU
    • Improve IPI synchronization semantics to support reliable cross-core coordination
  • Enable cross-core TLB flush
    • Provide the required IPI-based infrastructure for remote TLB invalidation
    • Support lazy TLB flush when possible
  • Track per-task CPU residency
    • Record the set of CPUs a task has run on
    • Use this information to limit TLB shootdowns to relevant CPUs only

Result

  • Avoids unnecessary cross-core TLB shootdowns
  • Reduces IPI traffic and synchronization overhead
  • Improves scalability on SMP systems

Related work

CopilotAI review requested due to automatic review settings December 11, 2025 08:10

CopilotAI left a comment

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Pull request overview

This PR adds per-task CPU residency tracking to optimize TLB (Translation Lookaside Buffer) shootdown operations. By tracking which CPUs a process has run on, the system can avoid sending unnecessary cross-core TLB invalidation IPIs to CPUs that haven't executed the process.

Key changes:

  • Added AxCpuMask tracking to ProcessData to record CPU residency
  • Implemented on_enter/on_leave hooks to update CPU mask when tasks are scheduled on/off CPUs
  • Added on_cpu_mask() method to query which CPUs a task has run on

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Comment threadcore/src/task.rs Outdated
Comment on lines +157 to +158
let mut on_cpu_mask = self.proc_data.on_cpu_mask.write();
on_cpu_mask.set(axhal::percpu::this_cpu_id(), false);

CopilotAIDec 11, 2025

Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Race condition: Clearing the CPU bit in on_leave creates a race when multiple threads from the same process run concurrently. Since ProcessData is shared via Arc among all threads in a process, if Thread A from the process leaves CPU X while Thread B from the same process is still running (or about to run) on CPU X, the bit for CPU X will be incorrectly cleared. The comment on line 195 says "The CPUs on which the task has run" which suggests historical tracking, but the current implementation attempts to track "currently running" which requires more sophisticated synchronization or reference counting per CPU.

Copilot uses AI. Check for mistakes.
Comment threadcore/src/task.rs
Comment on lines +195 to +196
/// The CPUs on which the task has run.
pub on_cpu_mask: RwLock<AxCpuMask>,

CopilotAIDec 11, 2025

Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The documentation states "The CPUs on which the task has run" which implies historical tracking of all CPUs where the process has executed. However, the implementation in on_leave (line 157-158) clears CPU bits when leaving, suggesting it tracks "currently running CPUs" instead. This discrepancy between documentation and implementation needs to be resolved. Clarify whether this should track historical CPU usage (never clear bits) or current CPU presence (requires reference counting per CPU to handle multiple threads).

Copilot uses AI. Check for mistakes.
@li041
li041 marked this pull request as ready for review December 23, 2025 07:18
@AsakuraMizu
AsakuraMizu marked this pull request as draft February 12, 2026 09:38
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2 participants

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