dra: cel filter Performance Optimization #359
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…contain permissions (NexusGPU#349) Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* support dedicated gpus * support dedicated GPU * support dedicated GPU * fix test issue
…sGPU#350) * fix: skip gpu limiter not working issue * fix: avoid k8s QoS side effect for inject lib init container * fix: potential panic issues * fix: remove unused event
* support dedicated gpus * support dedicated GPU * support dedicated GPU * fix test issue * fix init pricing override vran * Revert "fix init pricing override vran" This reverts commit d0bea18. * fix init pricing override vram
* chore: lint issue * fix: kubernetes upgrade, fix scheduler deps issue * fix: upgrade k8s version to 1.34, use fixed operator version in helm chart * fix: update shm path * chore: comment & wording * fix: connection naming * fix: upgrade github action * fix: add test for dedicated gpu allocation mode
…k domain name, virtual cap calculation (NexusGPU#357) * fix: virtual tflops/vram not calculated bug * fix: extract GPU map update logic into separate method and fix webhook domain name * fix: nvidia device plugin compatible mode state consistent issue * fix: nvidia device plugin compatible mode issue
wangqianqianjun
changed the title
* fix: gpu info update * feat: preempt scheduling, fix metrics scheduling bugs, add evict protection * fix: unit test issue * fix: preempt unit testing * fix: lint issue, add qos to priorityClassName converting
…exusGPU#365) - Add double-check for TFLOPs and VRAM availability before allocation
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…ild and dra request build in the same logic
- Implemented DRA CEL filters in GPU allocation requests - Added benchmarks for basic and complex expressions - Updated the resource slice controller to support Kubernetes hostname labels
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Early Filtering Optimization
Pre-filters GPUs by phase and model before expensive CEL evaluation to reduce processing overhead.
CEL Parallel Processing
Automatically enables parallel evaluation for large datasets (≥2000 GPUs) using worker goroutines with dynamic chunking
Zero Memory Allocation
Eliminates map allocations through ZeroAllocActivation and lazy caching of GPU field values to minimize GC pressure.
goos: linux
goarch: amd64
pkg: github.com/NexusGPU/tensor-fusion/internal/gpuallocator/filter/cel_filter
cpu: 13th Gen Intel(R) Core(TM) i7-13700KF
BenchmarkFilterPerformance/OriginalFilters-24 39 30419082 ns/op 15205268 B/op 20 allocs/op
BenchmarkFilterPerformance/CELFilter_Basic-24 51 23382077 ns/op 8003896 B/op 8 allocs/op
BenchmarkFilterPerformance/CELFilter_Complex-24 12 94239518 ns/op 57643526 B/op 2471372 allocs/op
BenchmarkFilterPerformance/CELFilter_CacheMiss-24 10 112866842 ns/op 82081142 B/op 3528066 allocs/op