83 citations
- Technical University of MunichDE20 papers
- Huawei Technologies (Germany)DE19 papers
- Technische Universität BerlinDE6 papers
- Huawei Technologies (China)CN4 papers
- ETH ZurichCH3 papers
- Hasso Plattner InstituteDE3 papers
- Universidade Federal do CearáBR3 papers
- University of CoimbraPT3 papers
- Centro de Investigação em Ciências da Informação Tecnologias e ArquiteturaPT2 papers
- Christian-Albrechts-Universität zu KielDE2 papers
- Imperial College LondonGB2 papers
- Iscte – Instituto Universitário de LisboaPT2 papers
11 papers · 1 filter
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study
Qiao Yu, Wengui Zhang, Jorge Cardoso +1
In large-scale datacenters, memory failure is a common cause of server crashes, with Uncorrectable Errors (UEs) being a major indicator of Dual Inline Memory Module (DIMM) defects.…
Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya +2
Global visual localization estimates the absolute pose of a camera using a single image, in a previously mapped area. Obtaining the pose from a single image enables many robotics a…
Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras
Mohammad Altillawi, Zador Pataki, Shile Li +1
Re-localizing a camera from a single image in a previously mapped area is vital for many computer vision applications in robotics and augmented/virtual reality. In this work, we ad…
Target-driven splitting SPH optimization of thermal conductivity distribution
Bo Zhang, Chi Zhang, Xiangyu Hu
Efficiently enhancing heat conduction through optimized distribution of a limited quantity of high thermal conductivity material is paramount in cooling electronic devices and nume…
Essentially non-hourglass and non-tensile-instability SPH elastic dynamics
Shuaihao Zhang, Sérgio D. N. Lourenço, Dong Wu +2
Since the tension instability was discovered in updated Lagrangian smoothed particle hydrodynamics (ULSPH) at the end of the 20th century, researchers have made considerable effort…
Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning
Binqi Sun, Mirco Theile, Ziyuan Qin +4
Directed acyclic graph (DAG) tasks are currently adopted in the real-time domain to model complex applications from the automotive, avionics, and industrial domains that implement…