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ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)
[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ...
OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
(MDPI, 2021)
[Abstract] Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The ...
Optimizing Coherence Traffic in Manycore Processors Using Closed-Form Caching/Home Agent Mappings
(Institute of Electrical and Electronics Engineers, 2021-02-09)
[Abstract]
Manycore processors feature a high number of general-purpose cores designed to work in a multithreaded fashion. Recent manycore processors are kept coherent using scalable distributed directories. A paramount ...
The Wall Lizards of the Balkan Peninsula: Tackling Questions at the Interphase of Phylogenomics and Population Genomics
(Elsevier, 2021)
[Abstract] Wall lizards of the genus Podarcis (Sauria, Lacertidae) are the predominant reptile group in southern Europe, including 24 recognized species. Mitochondrial DNA data have shown that, with the exception of P. ...
High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn
(Springer, 2021)
[Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library ...
A Software Cache Autotuning Strategy for Dataflow Computing with UPC++ DepSpawn
(Wiley, 2021)
[Abstract] Dataflow computing allows to start computations as soon as all their dependencies are satisfied. This is particularly useful in applications with irregular or complex patterns of dependencies which would otherwise ...
Representing Integer Sequences Using Piecewise-Affine Loops
(MDPI, 2021)
[Abstract] A formal, high-level representation of programs is typically needed for static and dynamic analyses performed by compilers. However, the source code of target applications is not always available in an analyzable ...
Concept Drift Detection and Adaptation for Federated and Continual Learning
(Springer, 2021)
[Abstract] Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning models, which can significantly ...
Towards a Self-Sufficient Face Verification System
(Elsevier, 2021)
[Abstract] The absence of a previous collaborative manual enrolment represents a significant handicap towards designing a face verification system for face re-identification purposes. In this scenario, the system must learn ...
A Parallel Skeleton for Divide-and-conquer Unbalanced and Deep Problems
(Springer Nature, 2021)
[Abstract] The Divide-and-conquer (D&C) pattern appears in a large number of problems and is highly suitable to exploit parallelism. This has led to much research on its easy and efficient application both in shared and ...