26 citations · 77 across the 10 of their papers we have counts for
10 papers
Revisiting Query Performance in GPU Database Systems
Jiashen Cao, Rathijit Sen, Matteo Interlandi +2
GPUs offer massive compute parallelism and high-bandwidth memory accesses. GPU database systems seek to exploit those capabilities to accelerate data analytics. Although modern GPU…
Testing DBMS Performance with Mutations
Xinyu Liu, Qi Zhou, Joy Arulraj +1
Because database systems are the critical component of modern data-intensive applications, it is important to ensure that they operate correctly. To this end, developers extensivel…
EKO: Adaptive Sampling of Compressed Video Data
Jaeho Bang, Pramod Chunduri, Joy Arulraj
Researchers have presented systems for efficiently analysing video data at scale using sampling algorithms. While these systems effectively leverage the temporal redundancy present…
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning
Pramod Chunduri, Jaeho Bang, Yao Lu +1
Detection and localization of actions in videos is an important problem in practice. State-of-the-art video analytics systems are unable to efficiently and effectively answer such…
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning
Jiashen Cao, Ramyad Hadidi, Joy Arulraj +1
To efficiently process visual data at scale, researchers have proposed two techniques for lowering the computational overhead associated with the underlying deep learning models. T…
ODIN: Automated Drift Detection and Recovery in Video Analytics
Abhijit Suprem, Joy Arulraj, Calton Pu +1
Recent advances in computer vision have led to a resurgence of interest in visual data analytics. Researchers are developing systems for effectively and efficiently analyzing visua…