22 citations · 34 across the 4 of their papers we have counts for
4 papers
Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads
Gonzalo Gomez-Sanchez, Aaron Call, Xavier Teruel +5
The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data t…
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…
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments
Josep Ll. Berral, Nicolas Poggi, David Carrera +3
This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning. ALOJA is part of a lo…
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments
Josep Ll. Berral, Nicolas Poggi, David Carrera +3
This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and p…