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CUDA-JMI: Acceleration of feature selection on heterogeneous systems
(Elsevier, 2020-01)
[Abstract]: Feature selection is a crucial step nowadays in machine learning and data analytics to remove irrelevant and redundant characteristics and thus to provide fast and reliable analyses. Many research works have ...
SMusket: Spark-based DNA error correction on distributed-memory systems
(Elsevier B.V., 2020)
[Abstract]: Next-Generation Sequencing (NGS) technologies have revolutionized genomics research over the last decade, bringing new opportunities for scientists to perform groundbreaking biological studies. Error correction ...
Real-time resource scaling platform for Big Data workloads on serverless environments
(2020)
The serverless execution paradigm is becoming an increasingly popular option when workloads are to be deployed in an abstracted way, more specifically, without specifying any infrastructure requirements. Currently, such ...
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 ...
Fiuncho: a program for any-order epistasis detection in CPU clusters
(Springer, 2022)
[Abstract]: Epistasis can be defined as the statistical interaction of genes during the expression of a phenotype. It is believed that it plays a fundamental role in gene expression, as individual genetic variants have ...
Floating Point Calculation of the Cube Function on FPGAs
(Institute of Electrical and Electronics Engineers, 2023)
[Abstract]: Specialized arithmetic units allow fast and efficient computation of lesser used mathematical functions. The overall impact of those units would be negligible in a general purpose processor, as added circuitry ...
Comparison of Hardwired and Microprogrammed Statechart Implementations
(MDPI, 2020)
[Abstract]: In scientific facilities such as particle accelerators, fast and jitter-free synchronization is required in order to trigger a large number of actuators at the right time in a variety of situations. The behaviour ...
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, ...