Buscar
Mostrando ítems 111-120 de 189
STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning
(Institute of Electrical and Electronics Engineers, 2024-05)
[Abstract]: The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated ...
Robust step counting for inertial navigation with mobile phones
(MDPI AG, 2018-09-19)
[Abstract]: Mobile phones are increasingly used for purposes that have nothing to do with phone calls or simple data transfers, and one such use is indoor inertial navigation. Nevertheless, the development of a standalone ...
Volatile STT-RAM Scratchpad Design and Data Allocation for Low Energy
(Association for Computing Machinery, 2015)
[Abstract] On-chip power consumption is one of the fundamental challenges of current technology scaling. Cache memories consume a sizable part of this power, particularly due to leakage energy. STT-RAM is one of several ...
Simulating the Network Activity of Modern Manycores
(Institute of Electrical and Electronics Engineers Inc., 2019)
[Abstract]: Manycore architectures are one of the most promising candidates to reach the exascale. However, the increase in the number of cores on a single die exacerbates the memory wall problem. Modern manycore architectures ...
EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences
(Oxford University Press, 2019-03-01)
[Abstract]: Next generation sequencing (NGS) technologies have led to a ubiquity of molecular sequence data. This data avalanche is particularly challenging in metagenetics, which focuses on taxonomic identification of ...
Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis Models
(BioMed Central Ltd., 2020-04-09)
[Abstract]
Background
Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which ...
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(M D P I AG, 2020-02-21)
[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud
(Oxford University Press, 2017)
[Abstract] This article presents MarDRe, a de novo cloud-ready duplicate and near-duplicate removal tool that can process single- and paired-end reads from FASTQ/FASTA datasets. MarDRe takes advantage of the widely adopted ...
ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
(Oxford University Press, 2019-08-21)
[Abstract] ModelTest-NG is a reimplementation from scratch of jModelTest and ProtTest, two popular tools for selecting the best-fit nucleotide and amino acid substitution models, respectively. ModelTest-NG is one to two ...
Big Data Geospatial Processing for Massive Aerial LiDAR Datasets
(MDPI AG, 2020-02-21)
[Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...