Deep Learning Compiler
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MLIR: Scaling Compiler Infrastructure for Domain Specific Computation (CGO 2021) [] []
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning () [] [] []
UW & AWS & SJTU & UC Davis & Cornell
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning () []
THU & MSRA
Co-optimize the execution of control flow and data flow.
Welder: Scheduling Deep Learning Memory Access via Tile-graph () []
PKU & MSRA
Optimize memory access.
Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators () []
Stream Computing
GraphTurbo: Scheduler for DSA.
EINNET: Optimizing Tensor Programs with Derivation-Based Transformations () []
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) []
Alibaba
Memory-intensive operators.
Ansor: Generating High-Performance Tensor Programs for Deep Learning () []
UC Berkeley
DSA: Domain-Specific Architecture