Latest

• IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization
• SmartMoE
• EINNET: Optimizing Tensor Programs with Derivation-Based Transformations
• GLM-130B: An Open Bilingual Pre-trained Model
• Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections
• PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
• SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization
• Unified Programming Models for Heterogeneous High-Performance Computers
• APE
• BaGuaLu
• BaGuaLu: targeting brain scale pretrained models with over 37 million cores
• Efficiently emulating high-bitwidth computation with low-bitwidth hardware
• GLM-130B: An Open Bilingual Pre-trained Model
• OLLIE: Derivation-based Tensor Program Optimizer
• UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation
• PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections