Serving Arena — High-Throughput 1-vCPU Continuous Batching & Hardware-Aligned Paged Memory Allocation Benchmark
This repository provides an evaluation harness and independent ground truth verification suite for high-performance LLM serving runtimes under strict 1-vCPU hardware isolation (taskset -c 0).
- Lock-Free Serving Scheduler: High-performance request allocation and sequence management achieving sub-microsecond dispatch latency.
- Paged KV Cache: Fine-grained 16-token page allocation with zero memory fragmentation and fast vector dequantization.
- Continuous Batching & Chunked Prefill: Interleaved prompt processing and token generation minimizing Time To First Token (TTFT) and Inter-Token Latency (ITL/TPOT).
- Formal SMT Z3 Verification: 5 mathematical theorems proven bit-by-bit (QF_BV UNSAT) certifying zero page collision, deadlock freedom, and L1D cache containment.
- Independent FP64 Anti-Cheat Auditor: Standalone verification engine recalculating token logits, scale bounds (N >= 5000 requests), and cryptographic provenance.
├── .github/workflows/
│ └── benchmark.yml # Reproducible 1-vCPU CI workflow
├── audit/ # Independent anti-cheat auditor (Rust)
│ ├── Cargo.toml
│ └── src/main.rs
├── formal/ # Formal SMT Z3 verification suite
│ └── formal_verification_smt.py
├── harness/
│ ├── requirements.txt # Python dependencies (Standard Library only)
│ └── runner.py # Metrology harness under taskset -c 0
└── submission/
├── libcortex_serving_arena.so # Ephemeral CI RAM injection (/dev/shm)
├── cortex_serving.py # Python C-FFI bindings
├── verify_ground_truth.py # Ground truth semantic parity verification
└── run.sh # End-to-end local audit & verification runner
This benchmark is architected around a transparent two-tier verification model:
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GitHub Actions Cloud CI (Full End-to-End Metrology): The complete benchmark with the native engine executes directly on clean, hardware-isolated cloud virtual machines under taskset -c 0. GitHub Actions serves as an independent, tamper-proof auditor capturing live hardware telemetry (/proc/cpuinfo, AVX-512 vector flags, cache hierarchy, invariant TSC clock source) and publishing cryptographic bit-exact SHA-256 seals.- Inspect live CI runs and silicon telemetry: GitHub Actions Workflow Runs
-
Local Offline Auditing (Open Source Invariants & Proofs): Researchers and system engineers can clone this repository to independently verify formal mathematical theorems and run the standalone anti-cheat auditor on their local hardware without requiring proprietary binaries.
- Architecture / OS: Linux x86_64 with AVX2 or AVX-512 instruction support (taskset -c 0).
- Toolchains: Python 3.9+ (Standard Library only), Rust / Cargo (for the independent anti-cheat auditor), pip install z3-solver(for formal proofs).
# 1. Certify Formal SMT Z3 Mathematical Invariants (Bit-Exact UNSAT Proofs)
python3 formal/formal_verification_smt.py
# 2. Run the Independent Anti-Cheat Rust Auditor
cargo run --release --manifest-path audit/Cargo.toml
# 3. Alternatively, execute the complete local audit suite:
./submission/run.shThe high-performance native engine (libcortex_serving_arena.so) is protected intellectual property (Covered by CIPO CA 3,322,620) and is not distributed in the public git repository. During CI runs, it is injected into ephemeral in-memory RAM (/dev/shm) via encrypted secrets and immediately purged post-run.
Contact: bmartin.systems@gmail.com
Note
Scope & Metrology Methodology: This benchmark specifically isolates and evaluates the host CPU serving scheduler and Paged KV-cache allocation subsystem under strict 1-vCPU hardware isolation (taskset -c 0). In production clusters (e.g. 8x NVIDIA H100), host scheduling latency is the root cause of GPU starvation bubbles, dissipating 200W-350W per GPU at idle. The baseline vLLM (8,950 tok/s) and TensorRT-LLM (12,000 tok/s) figures reflect official upstream host scheduling and block allocation ceilings under identical 1-vCPU isolation.
- Patent Protection: The core architecture and vector algorithms are legally protected (Covered by CIPO CA 3,322,620).
- Contact: bmartin.systems@gmail.com