Observing how well machine learning systems utilize hardware resources is a crucial preliminary step to improve system performance and reduce hardware waste. To do such observations, one has to collect a lot of monitoring data on hardware behavior through experiments. In our group, we have recently built a framework to aid the management of such monitoring data efficiently, called Resource-Aware …
      
      
      
      
  
    Supervisors: 
    Pınar Tözün, Ties Robroek
  
    Semester: Fall 2025
 
  Tags: benchmarking, data management, data visualization
      
    
        Observing how well data-intensive systems utilize hardware resources is a crucial preliminary step to improve system performance and reduce hardware waste. To do such observations, one has to collect a lot of monitoring data on hardware behavior through experiments. In our group, we have recently built a framework to aid the management of such monitoring data efficiently, called Resource-Aware …
      
      
      
      
  
    Supervisors: 
    Pınar Tözün, Ties Robroek
  
    Semester: Fall 2023
 
  Tags: benchmarking, data management, data visualization