eScholarship
metadata only
Automatically parallelizing batch inference on deep neural networks using Fiats and Fortran 2023 `do concurrent`
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Parallelism Strategy Chaining for Fast Training Convergence#975289
- Explicit State and Resource Contracts for Low-Precision Pipeline Parallel Training under Captured Graphs#1049275
- Explicit State and Resource Contracts for Low-Precision Pipeline Parallel Training under Captured Graphs#1028662
- Machine Unlearning for Speech Question Answering in Large Audio-Language Models#1071003
- Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism#287091
Record · ID 634644
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive