Research map / Architectures and efficiency / Neural architecture search
Searching for Fast Model Families on Datacenter Accelerators
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size (ICML 2021 · similarity 0.89)
- Fast and Accurate Model Scaling (CVPR 2021 · similarity 0.88)
- Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective (ICLR 2021 · similarity 0.88)
- Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators (ICML 2021 · similarity 0.87)
- SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation (NeurIPS 2024 · similarity 0.86)
- Integrated Hardware Architecture and Device Placement Search (ICML 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
