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- MLIR: Scaling Compiler Infrastructure for Domain Specific Computation (CGO 2021) [Paper] [Homepage]
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (OSDI 2018) [Paper] [Code] [Homepage]
- UW & AWS & SJTU & UC Davis & Cornell
- Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning (OSDI 2023) [Paper]
- THU & MSRA
- Co-optimize the execution of control flow and data flow.
- Welder: Scheduling Deep Learning Memory Access via Tile-graph (OSDI 2023) [Paper]
- PKU & MSRA
- Optimize memory access.
- Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators (OSDI 2023) [Paper]
- Stream Computing
- GraphTurbo: Scheduler for DSA.
- EINNET: Optimizing Tensor Programs with Derivation-Based Transformations (OSDI 2023) [Paper]
- THU & CMU
- Leverage transformations between general tensor algebra expressions.
- AStitch: Enabling a New Multi-dimensional Optimization Space for Memory-Intensive ML Training and Inference on Modern SIMT Architectures (ASPLOS 2022) [Paper]
- Alibaba
- Memory-intensive operators.
- Ansor: Generating High-Performance Tensor Programs for Deep Learning (OSDI 2020) [Paper]
- UC Berkeley
- DSA: Domain-Specific Architecture