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A Portable and Adaptable Fault Tolerance Solution for Heterogeneous Applications
(Academic Press, 2017-06)
[Abstract] Heterogeneous systems have increased their popularity in recent years due to the high performance and reduced energy consumption capabilities provided by using devices such as GPUs or Xeon Phi accelerators. This ...
Fast search of third-order epistatic interactions on CPU and GPU clusters
(Sage Publications Ltd., 2019-05-27)
[Abstract]
Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given phenotype (such as a disease) and genetic markers, have been growing in popularity in the recent years. Relations between ...
Accelerating binary biclustering on platforms with CUDA-enabled GPUs
(Elsevier Ltd, 2018)
[Abstract]: Data mining is nowadays essential in many scientific fields to extract valuable information from large input datasets and transform it into an understandable structure. For instance, biclustering techniques are ...
Heterogeneous distributed computing based on high-level abstractions
(2018)
[Abstract]: The rise of heterogeneous systems has given place to great challenges for users as they involve new concepts, restrictions, and frameworks. Their exploitation is further complicated in the context of distributed ...
Portable and efficient FFT and DCT algorithms with the Heterogeneous Butterfly Processing Library
(Elsevier, 2019-03)
[Abstract]: The existence of a wide variety of computing devices with very different properties makes essential the development of software that is not only portable among them, but which also adapts to the properties of ...
Supporting multi-resolution out-of-core rendering of massive LiDAR point clouds through non-redundant data structures
(Taylor & Francis Group, 2019-03)
[Abstract]: In recent years, the evolution and improvement of LiDAR (Light Detection and Ranging) hardware has increased the quality and quantity of the gathered data, making the storage, processing and management thereof ...
Parallel feature selection for distributed-memory clusters
(2019)
[Abstract]: Feature selection is nowadays an extremely important data mining stage in the field of machine learning due to the appearance of problems of high dimensionality. In the literature there are numerous feature ...
Easy Dataflow Programming in Clusters with UPC++ DepSpawn
(Institute of Electrical and Electronics Engineers, 2019-06-01)
[Abstract]: The Partitioned Global Address Space (PGAS) programming model is one of the most relevant proposals to improve the ability of developers to exploit distributed memory systems. However, despite its important ...
parSRA: A framework for the parallel execution of short read aligners on compute clusters
(2018)
[Abstract]: The growth of next generation sequencing datasets poses as a challenge to the alignment of reads to reference genomes in terms of both accuracy and speed. In this work we present parSRA, a parallel framework ...
Truncated SIMD Multiplier Architecture for Approximate Computing in Low-Power Programmable Processors
(Institute of Electrical and Electronics Engineers, 2019)
[Abstract]: Approximate computing has been exploited for many years in application-specific architectures. Recently, it has also been proposed for low-power programmable processors. However, this poses some challenges as, ...