178 citations · 181 across the 4 of their papers we have counts for
5 papers
Large-Scale Video Analytics through Object-Level Consolidation
Daniel Rivas, Francesc Guim, Jordà Polo +1
As the number of installed cameras grows, so do the compute resources required to process and analyze all the images captured by these cameras. Video analytics enables new use case…
Towards Automatic Model Specialization for Edge Video Analytics
Daniel Rivas, Francesc Guim, Jordà Polo +3
Judging by popular and generic computer vision challenges, such as the ImageNet or PASCAL VOC, neural networks have proven to be exceptionally accurate in recognition tasks. Howeve…
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads
Aaron Call, Jordà Polo, David Carrera +2
Massive exploitation of next-generation sequencing technologies requires dealing with both: huge amounts of data and complex bioinformatics pipelines. Computing architectures have…
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory
Nicola Cadenelli, Jorda Polo, David Carrera
The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring…
Performance Evaluation of Microservices Architectures using Containers
Marcelo Amaral, Jordà Polo, David Carrera +3
Microservices architecture has started a new trend for application development for a number of reasons: (1) to reduce complexity by using tiny services; (2) to scale, remove and de…