High performance computing with GPU
-
Updated
Jan 31, 2016 - Cuda
High performance computing with GPU
EVALUATING THE PERFORMANCE OF COMPUTING PLATFORMS USING A SET OF COMPUTE KERNELS
Customized Caffe for pseudo-random dropout
Command snippet framework w/ repository (cloud & self hosted)
Expose your classes through functions to speed up your development
get_field has cost in front end! it means when you perform this function it calls multiple time queries as you store data in your backend. in simple words if you had 1000 text box in your acf option back-end and you call acf get_field in front-end it will call mysql query 1000 times and if you want use acf and care about your performance you wil…
parallelising a block-chain algorithm using multiple approaches (Pure Threads + Atomics,ThreadPool, OpenMP)
TP final de la materia 6626 - Arquitecturas Paralelas.
Tool design to speed up spark applications.
Support Vector Machine Acceleration Based On CUDA
Parallel sudoku solver, computes every legal solution for a given grid.
Optional Cython speedups for Clamor
Performance analysis and publishing tools
The Noise Contrastive Estimation for softmax output written in Pytorch
Add a description, image, and links to the speedup topic page so that developers can more easily learn about it.
To associate your repository with the speedup topic, visit your repo's landing page and select "manage topics."