feat(v0.2): Complete v0.2 Feature Set - 7 New Rust Modules#33
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Add the remaining v0.2 features in pure Rust with PyO3 bindings: New Rust Core Modules: - scheduler/admission.rs: Deterministic admission control with memory/bandwidth quotas - scheduler/qos.rs: QoS policy framework (Guaranteed/Burstable/BestEffort tiers) - scheduler/partition.rs: GPU resource partitioning for multi-tenant isolation - dispatch/pacing.rs: Kernel pacing engine with per-stream bandwidth control - dispatch/slicing.rs: Micro-slicing framework for kernel fairness - dispatch/cache.rs: Kernel PTX cache with LRU eviction and TTL - transfer/pinned.rs: Pinned (page-locked) memory manager with pooling PyO3 Bindings: - Full Python bindings for all new types - 106 Rust tests passing Demo: - examples/demo_v02_full.py: Comprehensive demo showcasing all 12 features - Peak performance: 6555 GFLOPS on RTX 3090 Ti 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
This PR completes the PyGPUkit v0.2 feature set with 7 new Rust modules and comprehensive PyO3 bindings.
New Rust Core Modules (7276 lines)
scheduler/admission.rsscheduler/qos.rsscheduler/partition.rsdispatch/pacing.rsdispatch/slicing.rsdispatch/cache.rstransfer/pinned.rsComplete v0.2 Feature List (12 Features)
Core Infrastructure:
NEW in this PR:
5. Admission Control - Deterministic admission, quota enforcement
6. QoS Policy Framework - 3-tier QoS (Guaranteed/Burstable/BestEffort)
7. Kernel Pacing Engine - Bandwidth-based throttling per stream
8. Micro-Slicing - Kernel splitting, round-robin fairness
9. Pinned Memory - Page-locked host memory with pooling
10. Kernel Cache - PTX caching, LRU eviction, TTL
11. GPU Partitioning - Resource isolation, multi-tenant support
Compute:
12. Tiled Matmul - Shared memory + double buffering
Benchmark Results (RTX 3090 Ti)
Peak: 6555 GFLOPS
Test Coverage
examples/demo_v02_full.pyTest plan
cargo test)python examples/demo_v02_full.py)🤖 Generated with Claude Code