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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 ...
PolyBench/Python: Benchmarking Python Environments With Polyhedral Optimizations
(Association for Computing Machinery, 2021-03)
[Abstract]
Python has become one of the most used and taught languages nowadays. Its expressiveness, cross-compatibility and ease of use have made it popular in areas as diverse as finance, bioinformatics or machine ...
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 ...
RGen: Data Generator for Benchmarking Big Data Workloads
(MDPI, 2021)
[Abstract] This paper presents RGen, a parallel data generator for benchmarking Big Data workloads, which integrates existing features and new functionalities in a standalone tool. The main functionalities developed in ...