Latest

• IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization
• Optimal Kernel Orchestration for Tensor Programs with Korch
• Optimal Kernel Orchestration for Tensor Programs with Korch
• WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations
• EinNet
• Vapro
• EINNET: Optimizing Tensor Programs with Derivation-Based Transformations
• Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections
• PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
• BaGuaLu: targeting brain scale pretrained models with over 37 million cores
• Detecting Performance Variance for Parallel Applications Without Source Code
• FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs
• Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems
• OLLIE: Derivation-based Tensor Program Optimizer
• Vapro: performance variance detection and diagnosis for production-run parallel applications
• Critique of \"Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility\" by SCC Team From Tsinghua University
• PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
• Student Cluster Competition 2018, Team Tsinghua University: Reproducing performance of multi-physics simulations of the Tsunamigenic 2004 Sumatra megathrust earthquake on the Intel Skylake Architecture