Browsing by Author "Carrera, David"
Now showing items 1-9 of 9
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A resilient and distributed near real-time traffic forecasting application for Fog computing environments
(Elsevier, 2018-10)
Article
Open AccessIn this paper we propose an architecture for a city-wide traffic modeling and prediction service based on the Fog Computing paradigm. The work assumes an scenario in which a number of distributed antennas receive data ... -
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory
(IEEE, 2018-02-15)
Conference lecture
Open AccessThe 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 highly efficient computation for its ... -
Characterizing BigBench Queries, Hive, and Spark in Multi-cloud Environments
(Springer Verlag, 2017-12-30)
Conference lecture
Open AccessBigBench is the new standard (TPCx-BB) for benchmarking and testing Big Data systems. The TPCx-BB specification describes several business use cases—queries—which require a broad combination of data extraction techniques ... -
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads
(Elsevier, 2019-05)
Article
Open AccessThe recent upsurge in the available amount of health data and the advances in next-generation sequencing are setting the ground for the long-awaited precision medicine. To process this deluge of data, bioinformatics workloads ... -
Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions
(IEEE, 2019-03-01)
Article
Open AccessThe fast evolution of data analytics platforms has resulted in an increasing demand for real-time data stream processing. From Internet of Things applications to the monitoring of telemetry generated in large data centers, ... -
Performance Characterization of Spark Workloads on Shared NUMA Systems
(IEEE, 2018-07-09)
Conference lecture
Open AccessAs 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 ... -
Predictive value of modifications of the prehospital rapid arterial occlusion evaluation scale for large vessel occlusion in patients with acute stroke
(2017-01)
Article
Open AccessPrehospital clinical scales to identify patients with acute stroke with a large vessel occlusion and direct them to an endovascular-capable stroke center are needed. We evaluated whether simplification of the Rapid Arterial ... -
SMuFin2: generating and implementing new and more efficient search engines integrated in particular hardware architectures
(Barcelona Supercomputing Center, 2017-05-04)
Other
Open Access -
Topology-aware GPU scheduling for learning workloads in cloud environments
(Association for Computing Machinery (ACM), 2017-11)
Conference lecture
Open AccessRecent 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 ...
