Mark Gilbert markbgilbert

Mark Gilbert

Principal Systems Architect
High-Concurrency Distributed Systems · Low-Latency C++20 Runtimes · Mechanical Sympathy

PyTorch Core RFC-0036 (PR #110): Proposing an optional zero-runtime-allocation, 64-byte cache-aligned (alignas(64)) C++20 flat arena memory pattern to eliminate host-side speculative decoding verification bottlenecks in PyTorch (torch.compile Inductor) and ExecuTorch (pytorch/executorch).
Aegis Zero-GC Hardware Benchmark: Standalone open-source reproduction harness executing 1,000,000,000 operations in 0.649 seconds (1.54B ops/sec) in Node.js (V8) and 0.277 ns/op (< 1 cycle) in compiled native C/AVX2 with zero allocator stalls.
Low-Latency Systems Research: Exploring hardware-enforced memory isolation, flat arena batch ingestion, and lock-free SPSC ring buffers for high-throughput AI pipelines.

HBO (Game of Thrones): Advised engineering leadership on streaming architecture resilience, scaling origin capacity by 10,000% (100x) and orchestrating 10,000,000 Concurrent Virtual User (10M VU) synthetic stress tests ahead of global premieres.
PyTorch Host Ingestion Acceleration (nanoGPT): Engineered zero-allocation flat arena feeder kernel achieving 136.3x faster batch ingestion (7.32 µs vs. 997.70 µs) and 82.5% host RAM reduction on physical AMD Zen 5 hardware.
High-Concurrency Distributed Systems: Decades of experience designing fault-tolerant distributed execution engines, high-frequency trading matching kernels, and zero-allocation memory architectures.

Languages & Runtimes: C++20, ISO C, WebAssembly (WASM), TypeScript/Node.js, Python FFI (pybind11).
Mechanical Sympathy: 64-byte CPU cache alignment (alignas(64)), AVX2 / AVX-512 vectorization, DRAM bus saturation, zero-copy lock-free SPSC ring buffers.
Systems Architecture: Distributed load orchestration, edge caching architectures, socket buffer optimization, zero-allocation memory pools.