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BDEv 3.0: energy efficiency and microarchitectural characterization of Big Data processing frameworks
(Elsevier BV * North-Holland, 2018-09)
[Abstract] As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance bottlenecks that may delay the processing of large ...
BDWatchdog: real-time monitoring and profiling of Big Data applications and frameworks
(Elsevier BV * North-Holland, 2018-10)
[Abstract] Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively improve their performance there is a critical need for ...
Flame-MR: An event-driven architecture for MapReduce applications
(Elsevier BV * North-Holland, 2016)
[Abstract] Nowadays, many organizations analyze their data with the MapReduce paradigm, most of them using the popular Apache Hadoop framework. As the data size managed by MapReduce applications is steadily increasing, the ...
ParBiBit: Parallel tool for binary biclustering on modern distributed-memory systems
(PLoS, 2018)
[Abstract]: Biclustering techniques are gaining attention in the analysis of large-scale datasets as they identify two-dimensional submatrices where both rows and columns are correlated. In this work we present ParBiBit, ...
General‐purpose computation on GPUs for high performance cloud computing
(John Wiley & Sons Ltd., 2013-08)
[Abstract] Cloud computing is offering new approaches for High Performance Computing (HPC) as it provides dynamically scalable resources as a service over the Internet. In addition, General‐Purpose computation on Graphical ...
Performance Evaluation of Data-Intensive Computing Applications on a Public IaaS Cloud
(Oxford University Press, 2016)
[Abstract] The advent of cloud computing technologies, which dynamically provide on-demand access to computational resources over the Internet, is offering new possibilities to many scientists and researchers. Nowadays, ...
Performance analysis of HPC applications in the cloud
(Elsevier BV * North-Holland, 2013-01)
[Abstract] The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers ...
Java in the High Performance Computing arena: Research, practice and experience
(Elsevier BV, 2013-05-01)
[Abstract] The rising interest in Java for High Performance Computing (HPC) is based on the appealing features of this language for programming multi-core cluster architectures, particularly the built-in networking and ...
Low‐latency Java communication devices on RDMA‐enabled networks
(John Wiley & Sons Ltd., 2015)
[Abstract] Providing high‐performance inter‐node communication is a key capability for running high performance computing applications efficiently on parallel architectures. In fact, current systems deployments are aggregating ...
Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform
(Springer Netherlands, 2013-12)
[Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well ...