David Carrera received the MS degree at the Technical University of Catalonia (UPC) in 2002 and his PhD from the same university in 2008. He is an associate professor at the Computer Aachitecture Department of the UPC. He is also the Head of the “Data-Centric Computing” group at the Barcelona Supercomputing Center (BSC). In 2015 he was granted an ERC Starting Grant for the project HiEST (‘Holistic Integration of Emerging Supercomputing Technologies’, 1.5M€, 2015-2020). In 2017 he was awarded an ERC Proof of Concept project for the project Hi-OMICS. He is the PI for several industrial projects and collaborations with IBM, Microsoft and Cisco among others. He was a summer intern in 2006 and a Visiting Scientist in 2012 at IBM Watson. He has been involved in several EU and industrial research projects. He received an IBM Faculty Award in 2010. He is an IEEE member.

Research interests

His current research work focuses on the several topics: Data Center Optimization: providing holistic optimization solutions for the optimization of Data Centers, including the use of Active Storage technologies. Big Data Frameworks: development of technologies for developing mechanisms for an automated characterization of Big Data deployments to explore how runtime performance is affected by software and hardware configuration choices. Internet of Things and Stream Processing: Explore novel architectures of the emerging IoT stream processing platforms, that provide the capabilities of data stream composition, transformation and filtering in real time. Applied Learning Methods: leverage learning Algorithms for guiding task and data placement algorithms for Data Center optimization. Data-Centric Architectures: Build hardware prototypes for accelerating data-centric workloads, leveraging NVMs, GPUs, and FGPAs.

Keywords

Cloud Computing, Big Data, Performance Modeling, Workload Characterization, Active Storage