Tags » Parallel Computing

Feedback Sequence-to-Sequence Model - Gonna Reverse Them All!

This tutorial assumes that you have a pretty good understanding about the basics of Recursive Neural Networks and Backpropagation Through Time (BPTT) and how these models actually work…

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Machine Learning

Data manipulation with R - Week #3 Update (Jay)

Hello all,

I did a couple of things in the past week:

  • Learned about the dplyr library in R, which helps get data frames and matrices in a useable format and wrote an R script to merge some data files from a plant trait database.
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Make AI Computing 100 Times Faster

Chinese AI talent in US – UIUC Professor Wen-Mei Hwu

The world is at the point where virtually all technologies rely on computing. And nowhere is the importance of computing more pronounced than in the arena of artificial intelligence. 1,707 more words

Community

N body simulation in OpenMP

Hey there!

This is a continuation the open source project I worked on the previous blog.

Here I found few hotspots to optimize the OpenMP code in the same repository. 698 more words

Parallel Computing

Pregel. A demonstration.

If you are looking for simple and clear demonstration about Pregel and its implementation in PageRank Algorithm, you are headed to the right place! 1,395 more words

N body simulation in CUDA

Hey there!

I found this code in GitHub which solves N-body problem using traditional Newtonian gravitational equations. The repository owner, pchapin, has already tried various parallelizing methods like – pthreads, OpenMP, MPI, and CUDA. 875 more words

Parallel Computing

CUDA Programming

A simple way to understand the difference between a GPU and a CPU is to compare how they process tasks. A CPU consists of a few cores optimized for sequential serial processing while a GPU has a massively parallel architecture consisting of thousands of smaller, more efficient cores designed for handling multiple tasks simultaneously.GPU does mathematically heavy tasks that usually would strain the CPU . 154 more words

Parallel Computing