Tags » GPGPU

Heterogeneous Accelerated Deep Learning on Spark

Finally. My paper report for my Statistical Machine Learning class. main


As a branch of machine learning, Deep Learning is already becoming a promising approach for developing more sophisticated models for different intelligent applications. 145 more words

Distributed Systems

Theme of the Week: CPU vs GPU

Let’s start by understanding the difference between CPUs and GPUs.


GPGPU Computing : approaching a decade

General purpose computing over GPUs, that were meant only for rendering of images for gaming and other related applications, mainly started when Nvidia launches CUDA… 250 more words


Performance gain by GPU in Theano

A very basic timing comparison on the performance of a setup of Theano using the MNIST dataset with multiple layer perceptron. A gain in performance of almost 18% is achieved with GPU, and significant improvement is observed using T-test.


Exploring Theano with Keras

Theano needs no introduction in the field of deep learning. It is based on Python and supports CUDA. Keras is a libray that wraps the complexity of Theano to provide a high level abstraction for developing deep learning solutions. 149 more words


Compiling CUDA in command line

For getting acquainted to more unix based CUDA development, the following command line and related environment are found to works in the current Visual Studio based platform. 71 more words