research
∙
09/12/2023
Enhancing In-Memory Spatial Indexing with Learned Search
Spatial data is ubiquitous. Massive amounts of data are generated every ...
share
research
∙
07/24/2023
MorphStream: Scalable Processing of Transactions over Streams on Multicores
Transactional Stream Processing Engines (TSPEs) form the backbone of mod...
research
∙
05/15/2023
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and oce...
research
∙
09/13/2022
Space-Efficient Random Walks on Streaming Graphs
Graphs in many applications, such as social networks and IoT, are inhere...
research
∙
08/23/2022
Satellite Image Search in AgoraEO
The growing operational capability of global Earth Observation (EO) crea...
research
∙
08/21/2022
A Survey on Transactional Stream Processing
Transactional stream processing (TSP) has been increasingly gaining trac...
research
∙
06/01/2022
Good Intentions: Adaptive Parameter Servers via Intent Signaling
Parameter servers (PSs) ease the implementation of distributed training ...
research
∙
02/26/2022
Efficient Specialized Spreadsheet Parsing for Data Science
Spreadsheets are widely used for data exploration. Since spreadsheet sys...
research
∙
02/07/2022
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning
Knowledge graph completion (a.k.a. link prediction), i.e., the task of i...
research
∙
05/17/2021
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
This paper presents the multi-modal BigEarthNet (BigEarthNet-MM) benchma...
research
∙
04/01/2021
Replicate or Relocate? Non-Uniform Access in Parameter Servers
Parameter servers (PSs) facilitate the implementation of distributed tra...
research
∙
10/23/2020
The Case for Distance-Bounded Spatial Approximations
Spatial approximations have been traditionally used in spatial databases...
research
∙
02/03/2020
Dynamic Parameter Allocation in Parameter Servers
To keep up with increasing dataset sizes and model complexity, distribut...
research
∙
12/10/2019
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence
Data analysis in the Internet of Things (IoT) requires us to combine eve...
research
∙
10/17/2019
The NebulaStream Platform: Data and Application Management for the Internet of Things
The Internet of Things (IoT) presents a novel computing architecture for...
research
∙
09/06/2019
Agora: Towards An Open Ecosystem for Democratizing Data Science Artificial Intelligence
Data science and artificial intelligence are driven by a plethora of div...
research
∙
02/16/2019
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
This paper presents a new large-scale multi-label Sentinel-2 benchmark a...
research
∙
09/18/2018
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows
Parallel dataflow systems have become a standard technology for large-sc...
research
∙
02/23/2018
Benchmarking Distributed Stream Processing Engines
Over the last years, stream data processing has been gaining attention b...
research
∙
09/03/2017
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors
Processor manufacturers build increasingly specialized processors to mit...
research
∙
09/11/2016