Cleave: Scaling Tensor Program Optimization via Decoupled Algebraic Search and Operator Scheduling
cs.PL, cs.AI
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/nyu-systems/cleave
Sources
- K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model
- cuDNN: Efficient Primitives for Deep Learning
- The Llama 3 Herd of Models
- SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- TileLang: A Composable Tiled Programming Model for AI Systems
- Mirage: A Multi-Level Superoptimizer for Tensor Programs
- Prism: Symbolic Superoptimization of Tensor Programs
- Qwen3 Technical Report
- CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution
- Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs
- Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels
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