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Home / Semester / Fall 2019

Semester: Fall 2019


Proposals

FPGA-based Hardware Acceleration A GUI for The Things Network LoRaWAN stack v3 Accelerated Distributed Platform for Spatial Queries Competitor for the Video Browser Showdown Computational Storage Database Performance Characteristics Decentralized Cloud Management Diversity of Relevance Feedback Efficient OS-level Context-Switching for Thread Migration Exploring Image Collections via Eye Tracking Extending Spark Scheduler for Heterogeneous Clusters Leveraging Heterogeneous Hardware Micro-architectural Analysis of SystemML Mobile Air Quality Monitoring Mobile Version of Exquisitor Multi-query Optimization in Spark Predicting Execution times Queries Executed on Accelerated Distributed Platforms Satellite Data Small Smart City Sound-based Predictive Maintenance Storage System Performance Characteristics Temperature-based Predictive Maintenance The ms IoT gateway The TrekkTracker What is HTAP? Wind turbine data publication Wind turbine electricity production analysis Wind turbine electricity production prediction Wind turbine non-invasive instrumentation Workload Characterization for Big Data Management

Projects

Training for Speech Recognition on Co-processors

DASYA Lab location:
Room 5A56,
IT University of Copenhagen
Rued Langgaards Vej 7
2300 Copenhagen S
Map
DASYA Lab opening hours:
We are generally around, with
guaranteed presence:
- Tuesday 10-16 
- Friday 10-16
Last updated: February 2024

Code released under the Apache 2.0 license.