SVM-based real-time hyperspectral image classifier on a manycore architecture
This paper presents a study of the design space of a Support Vector Machine (SVM)
classifier with a linear kernel running on a manycore MPPA (Massively Parallel Processor …
classifier with a linear kernel running on a manycore MPPA (Massively Parallel Processor …
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture
This paper presents a study of the parallelism of a Principal Component Analysis (PCA)
algorithm and its adaptation to a manycore MPPA (Massively Parallel Processor Array) …
algorithm and its adaptation to a manycore MPPA (Massively Parallel Processor Array) …
Seismic wave propagation simulations on low-power and performance-centric manycores
The large processing requirements of seismic wave propagation simulations make High
Performance Computing (HPC) architectures a natural choice for their execution. However …
Performance Computing (HPC) architectures a natural choice for their execution. However …
Towards seismic wave modeling on heterogeneous many-core architectures using task-based runtime system
V Martínez, D Michéa, F Dupros… - 2015 27th …, 2015 - ieeexplore.ieee.org
Understanding three-dimensional seismic wave propagation in complex media is still one of
the main challenges of quantitative seismology. Because of its simplicity and numerical …
the main challenges of quantitative seismology. Because of its simplicity and numerical …
Adaptation of an iterative PCA to a manycore architecture for hyperspectral image processing
This paper presents a study of the adaptation of a Non-Linear Iterative Partial Least Squares
(NIPALS) algorithm applied to Hyperspectral Imaging to a Massively Parallel Processor …
(NIPALS) algorithm applied to Hyperspectral Imaging to a Massively Parallel Processor …
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier
In this paper, a Massively Parallel Processor Array platform is characterized in terms of
energy consumption using a Support Vector Machine for hyperspectral image classification …
energy consumption using a Support Vector Machine for hyperspectral image classification …
Improving 3D Lattice Boltzmann Method stencil with asynchronous transfers on many-core processors
CPU-based many-core processors present an alternative to multicore CPU and GPU
processors. In particular, the 93-Petaflops Sunway supercomputer, built from clustered many …
processors. In particular, the 93-Petaflops Sunway supercomputer, built from clustered many …
Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform
This paper presents a study of the par alle lization possibilities of a Non-Linear Iterative
Partial Least Squares algorithm and its adaptation to a Massively Parallel Processor Array …
Partial Least Squares algorithm and its adaptation to a Massively Parallel Processor Array …
A self-testing and self-repairing structure for ultra-large capacity memories
T Chen, G Sunada - Proceedings International Test Conference 1992, 1992 - computer.org
CPU-based many-core processors present an alternative to multicore CPU and GPU
processors. In particular, the 93-Petaflops Sunway supercomputer, built from clustered many …
processors. In particular, the 93-Petaflops Sunway supercomputer, built from clustered many …
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform
In this paper, a study of the parallel exploitation of a Support Vector Machine (SVM) classifier
with a linear kernel running on a Massively Parallel Processor Array platform is exposed …
with a linear kernel running on a Massively Parallel Processor Array platform is exposed …