Spaces:
Running
Running
Request Access for Kernel Publishing: High-Performance Industrial DAG & Schema Kernels (@go2abroad-sop)
#41
by transcenddata - opened
Hi Hugging Face Kernels Team,
We have submitted an access request for Kernel Publishing under our organization/account @go2abroad-sop.
Background & Technical Motivation
We are developing open industrial engineering tools, specialized inference acceleration pipelines, and structured metadata resolvers for the GO2ABROAD SOP dataset (covering 140K+ procedures across 180+ jurisdictions).
What We Plan to Publish
- DAG Workflow State Machine Kernels: Lightweight, high-throughput C++/CUDA/Triton kernels to accelerate directed acyclic graph (DAG) topological validation and conditional branch routing for complex industrial field execution pipelines.
- Schema & Tolerance Validators: Fast SIMD/vectorized operators for real-time validation of high-density numerical physical parameters (torque, pressure, and thermal tolerances) against strict compliance matrices.
- Organization / Profile: https://huggingface.co/go2abroad-sop
- Dataset Reference: https://huggingface.co/datasets/go2abroad-sop/go2abroad-sop-catalog
Could you please review our request and grant access to publish kernel repositories?
Thank you for your time and review!