Listar por autor "Amaral, Marcelo"
Mostrando ítems 1-5 de 5
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Improving resource efficiency in virtualized datacenters
Amaral, Marcelo (Universitat Politècnica de Catalunya, 2019-04-29)
Tesis
Acceso abiertoIn recent years there has been an extraordinary growth of the Internet of Things (IoT) and its protocols. The increasing diffusion of electronic devices with identification, computing and communication capabilities is ... -
Performance Characterization of Spark Workloads on Shared NUMA Systems
Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo, Jordà; Carrera, David (IEEE, 2018-07-09)
Comunicación de congreso
Acceso abiertoAs the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ... -
Performance characterization of spark workloads on shared NUMA Systems
Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo Cantero, José; Carrera Pérez, David (Institute of Electrical and Electronics Engineers (IEEE), 2018)
Texto en actas de congreso
Acceso abiertoAs the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ... -
Performance evaluation of microservices architectures using containers
Amaral, Marcelo; Polo Bardés, Jordà; Carrera Pérez, David; Mohomed, Iqbal; Unuvar, Merve; Steinder, Malgorzata (Institute of Electrical and Electronics Engineers (IEEE), 2015)
Texto en actas de congreso
Acceso abiertoMicroservices 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 deploy parts of the system easily; (3) to ... -
Topology-aware GPU scheduling for learning workloads in cloud environments
Amaral, Marcelo; Polo Bardés, Jordà; Carrera, David; Seelam, Seetharami; Steinder, Malgorzata (Association for Computing Machinery (ACM), 2017-11)
Comunicación de congreso
Acceso abiertoRecent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things. Multi-GPU ...