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Compiler-Assisted Checkpointing of Parallel Codes: The Cetus and LLVM Experience
(Springer New York LLC, 2013)
[Abstract] With the evolution of high-performance computing, parallel applications have developed an increasing necessity for fault tolerance, most commonly provided by checkpoint and restart techniques. Checkpointing tools ...
Evaluation of messaging middleware for high-performance cloud computing
(Springer U K, 2013-12)
[Abstract]
Cloud computing is posing several challenges, such as security, fault tolerance, access interface singularity, and network constraints, both in terms of latency and bandwidth. In this scenario, the performance ...
Parallel-FST: A feature selection library for multicore clusters
(Elsevier, 2022-11)
[Abstract]: Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This work presents Parallel-FST, a publicly available ...
PATO: genome-wide prediction of lncRNA-DNA triple helices
(Oxford University Press, 2023-03)
[Abstract]: Motivation: Long non-coding RNA (lncRNA) plays a key role in many biological processes. For instance, lncRNA regulates chromatin using different molecular mechanisms, including direct RNA-DNA hybridization via ...
A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs
(Elsevier B.V., 2023-05)
[Abstract]: Time series are key across industrial and research areas for their ability to model behaviour across time, making them ideal for a wide range of use cases such as event monitoring, trend prediction or anomaly ...
pRIblast: A highly efficient parallel application for comprehensive lncRNA–RNA interaction prediction
(Elsevier, 2023-01)
[Abstract]: Long non-coding RNAs (lncRNAs) play a key role in several biological processes and scientists are constantly trying to come up with new strategies to elucidate their functions. One common approach to characterize ...
SparkEC: speeding up alignment-based DNA error correction tools
(BioMed Central (Springer), 2022)
[Abstract]: In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing (NGS). However, the DNA reads generated by current NGS platforms are ...
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 ...