Computer Architecture

• A Survey of Computer Architecture Simulation Techniques and Tools
• DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks
• MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
• STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators
• An End-To-End Toolchain: From Automated Cost Modeling to Static WCET and WCEC Analysis
• MLPerf Mobile Inference Benchmark
• torch. fx: Practical program capture and transformation for deep learning in python
• nn-Meter: Towards Accurate Latency Prediction of Deep-Learning Model Inference on Diverse Edge Devices
• EcoFlow Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators