Media Summary: A distributed database utilizing the wide-spread edge computing servers to provide low-latency data access with the serializability ... With the increasing prevalence of heterogeneous hardware and the increasing need for online reconfiguration, there is increasing ... Graph neural networks (GNNs) aim to learn a low-dimensional feature for each vertex in the graph from its input high-dimensional ...
Eurosys 21 Profiling Dataflow Systems - Detailed Analysis & Overview
A distributed database utilizing the wide-spread edge computing servers to provide low-latency data access with the serializability ... With the increasing prevalence of heterogeneous hardware and the increasing need for online reconfiguration, there is increasing ... Graph neural networks (GNNs) aim to learn a low-dimensional feature for each vertex in the graph from its input high-dimensional ... [Eurosys'21] Bridging the Performance Gap for Copy-based Garbage Collectors atop NVM (short) [EuroSys'21] Accelerating Graph Sampling for Graph Machine Learning using GPUs (Long) Realistic experimentation is a key component of
Unikernels are famous for providing excellent performance in terms of boot times, throughput and memory consumption, to name ...