UPSTREAM PR #18547: context : reserve new scheduler when graph topology changes

[loci-dev]

Mirrored from ggml-org/llama.cpp#18547

cont #17617

In some cases we know that a graph reallocation would be necessary (see ggml-org/llama.cpp#17617). Re-reserve the scheduler to reduce the amount of unexpected graph reallocations and to prevent further reallocations later.

[loci-review]

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I apologize for the error. It seems there was an issue with the summary agent. Let me try to help you with this request in a different way.

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• Project ID: 2621b8c0-b5ce-11f0-b333-453f42058aa1
• Report ID: 20f8d650-e803-11f0-81f2-dbb430499cb5
• Version ID: 20f8d651-e803-11f0-81f2-dbb430499cb5
• Base Version ID: 17a082b1-e7fe-11f0-81f2-dbb430499cb5
• Repository: llama.cpp
• Owner: auroralabs-loci
• Pull Request: UPSTREAM PR #18547: context : reserve new scheduler when graph topology changes #792

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[loci-review]

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Perfect! I've successfully retrieved the summary report for your project. The report shows a performance analysis of pull request #792 for the llama.cpp repository, comparing two versions of the code.

Key Highlights:

• Most Significant Impact: The operator- iterator function shows a 79% increase in response time (from 92.71ms to 165.98ms)
• Pattern Identified: Most affected functions are C++ STL operations (iterators, vectors, unique pointers)
• Overall Trend: All top 8 functions show performance degradation in response time, ranging from 2% to 79%

The analysis suggests that changes in PR #792 may have introduced additional overhead in container operations or iterator usage within the llama.cpp codebase.

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[loci-review]

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I've successfully retrieved the summary report for your project. The report shows significant performance regressions in PR #792 for the llama.cpp repository.

Here are the key highlights:

Critical Issues:

• _M_const_cast: 217% increase in response time (worst performer)
• operator-: 80.4% increase in response time
• begin (vector): 68.3% increase in response time

Main Concerns:

• All top 10 functions show performance degradation
• Most affected functions are STL container operations (iterators, trees, vectors, hashtables)
• Throughput has decreased significantly across all measured functions

Recommendation: The report strongly suggests investigating PR #792 before merging, as it introduces substantial performance regressions in core STL operations that could impact overall application performance.

[loci-review]

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I've generated a comprehensive summary report for your project. The report shows that Pull Request #792 for the llama.cpp repository introduces significant performance changes:

Key Highlights:

✅ Major Throughput Improvements: Most functions show substantial throughput increases ranging from 17% to 289%

⚠️ Response Time Trade-offs: Some critical functions (like std::vector::begin and back) show increased response times (up to 215%) despite throughput gains

📈 Best Performers:

• _M_check_len: -40.60% response time with +17.40% throughput
• Various vector operations showing 100%+ throughput improvements

The report includes detailed analysis of the top 10 functions by performance change, key observations, and recommendations for moving forward with this pull request.