| The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency | 0 | 0.34 | 2022 |
| Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots | 0 | 0.34 | 2022 |
| OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge | 0 | 0.34 | 2022 |
| FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems | 0 | 0.34 | 2022 |
| RobotCore: An Open Architecture for Hardware Acceleration in ROS 2. | 0 | 0.34 | 2022 |
| A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms | 1 | 0.39 | 2022 |
| GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients | 0 | 0.34 | 2022 |
| Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles | 0 | 0.34 | 2022 |
| Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles | 0 | 0.34 | 2022 |
| Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments | 0 | 0.34 | 2021 |
| Robomorphic computing: a design methodology for domain-specific accelerators parameterized by robot morphology | 1 | 0.35 | 2021 |
| AI Tax in Mobile SoCs: End-to-end Performance Analysis of Machine Learning in Smartphones | 0 | 0.34 | 2021 |
| Air Learning: A Deep Reinforcement Learning Gym For Autonomous Aerial Robot Visual Navigation | 2 | 0.44 | 2021 |
| System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System | 0 | 0.34 | 2021 |
| Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems | 0 | 0.34 | 2021 |
| Gradient Disaggregation: Breaking Privacy In Federated Learning By Reconstructing The User Participant Matrix | 0 | 0.34 | 2021 |
| Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs | 1 | 0.39 | 2021 |
| RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity | 0 | 0.34 | 2021 |
| AI Tax: The Hidden Cost of AI Data Center Applications | 0 | 0.34 | 2021 |
| Erratum to “Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs” | 0 | 0.34 | 2021 |
| Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference | 3 | 0.46 | 2020 |
| Missing the Forest for the Trees: End-to-End AI Application Performance in Edge Data Centers | 2 | 0.39 | 2020 |
| Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management | 2 | 0.39 | 2020 |
| Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems | 3 | 0.35 | 2020 |
| MLPerf Training Benchmark | 0 | 0.34 | 2020 |
| MLPerf Inference Benchmark | 15 | 0.68 | 2020 |
| Deep Reinforcement Learning for Cyber Security. | 1 | 0.39 | 2019 |
| Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies | 2 | 0.35 | 2019 |
| Gables: A Roofline Model for Mobile SoCs | 2 | 0.39 | 2019 |
| Fine-Tuning the Active Timing Margin (ATM) Control Loop for Maximizing Multi-core Efficiency on an IBM POWER Server | 0 | 0.34 | 2019 |
| Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services | 0 | 0.34 | 2019 |
| Asymmetric Resilience for Accelerator-Rich Systems | 1 | 0.35 | 2019 |
| One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-Off in Machine Learning Cloud Service APIs via Tolerance Tiers | 1 | 0.37 | 2019 |
| The Role of Compute in Autonomous Aerial Vehicles. | 0 | 0.34 | 2019 |
| Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. | 0 | 0.34 | 2019 |
| Two Billion Devices and Counting. | 4 | 0.43 | 2018 |
| Domain Specific Approximation for Object Detection. | 1 | 0.36 | 2018 |
| MAVBench - Micro Aerial Vehicle Benchmarking. | 3 | 0.37 | 2018 |
| Voltage-Stacked GPUs - A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. | 4 | 0.37 | 2018 |
| Domain-Specific Approximation For Object Detection | 0 | 0.34 | 2018 |
| Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench) | 1 | 0.35 | 2018 |
| Optimizing General-Purpose CPUs for Energy-Efficient Mobile Web Computing. | 4 | 0.49 | 2017 |
| Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. | 0 | 0.34 | 2017 |
| Ti-States: Power Management in Active Timing Margin Processors. | 0 | 0.34 | 2017 |
| Research for practice: web security and mobile web computing | 0 | 0.34 | 2017 |
| Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. | 3 | 0.38 | 2017 |
| Storage on Your SmartPhone Uses More Energy Than You Think. | 0 | 0.34 | 2017 |
| Flying IoT: Toward Low-Power Vision in the Sky. | 4 | 0.52 | 2017 |
| GreenWeb: language extensions for energy-efficient mobile web computing. | 6 | 0.40 | 2016 |
| EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses. | 1 | 0.35 | 2016 |
