High-performance zero-copy tensor serialization for Fastest Transmission

High-Performance KV Cache Storage Engine on CXL Shared Memory for LLM Inference

Zero-copy bidirectional GPU texture sharing between TouchDesigner and Python via CUDA IPC. Sub-microsecond per-frame overhead with ring buffer architecture and GPU-side synchronization.

Talos-O (Omni): A sovereign, embodied agentic organism forged on AMD Strix Halo. Integrating the Chimera Kernel (Linux 7.0), Zero-Copy Introspection, and the Phronesis Engine. Built from First Principles.

A high-performance C++ backend for extreme-context LLM inference. It replaces item-count batching with dynamic, VRAM-aware First-Fit Decreasing (FFD) bin packing. By using PyBind11 for async queueing, 16-token alignment, and `cudaHostAlloc` for zero-copy FlashAttention-2 transfers, it mathematically eliminates OOMs and maximizes GPU throughput.

BigPacks is a data serialization format designed for 32-bit microcontrollers. It aims at being minimal and fast, without obsessing over achieving the smallest possible binary representation.

🤖 Build a chatbot with endless conversation memory using OpenAI's API and vector storage for seamless communication without losing context.

Autonomous feature engineering engine utilizing zero-copy Apache Arrow for high-performance dimensionality expansion and non-linear signal isolation.

A lock-free, zero-copy parallel engine for Python. Pushing CPU to the hardware memory wall.

High-performance ASGI framework — drop-in FastAPI replacement. 8.7x faster routing, 9.4x faster JSON, radix tree router, compiled DI, uvloop, msgspec.

The Ultimate Python AI Integration for Java (Spring Boot). High-performance Universal Bridge using Rust JNI & Shared Memory. (7s → 0.009s latency)

Mining Linux Kernel Repositories to extract knowledge about AF_XDP

High-performance Python-to-Java bridge using shared memory and Apache Arrow

Cross-platform cross-process shared-memory ring buffer

Advanced zero-copy streaming orchestration engine for Citrix XenServer (XVA/OVA) images, featuring an interactive TUI, resource-aware adaptive buffering, and proactive environment auto-repair.

FC-496 est l'atome de donnée du Lichen Universe. C'est une structure de taille fixe (496 bits), géométriquement parfaite, conçue pour l'ère du Zero-Copy et de l'IA Native. Contrairement au JSON (mou, variable, coûteux à parser), le FC-496 est "dur" (rigide, aligné mémoire, instantané).

Système de fichiers holographique "Zero-Copy" à adressage spiralé ($\varphi$). Élimination de la latence de parsing par isomorphisme stockage-mémoire (FC-496)

Multi-language binary shard format with O(1) lookup, per-entry compression, and CRC32C checksums.

Architecture isomorphe "Zero-Parse". Élimination totale de la sérialisation via Memory-Mapping (mmap) et structures binaires alignées ($O(1)$). Le disque devient une extension directe de la RAM.

High-performance Python architecture for multi-stream NVDEC decoding and GPU inference using DLPack and PyTorch CUDA IPC to bypass the GIL.