ParallelR

04-07

R benchmark for High-Performance Analytics and Computing (II): GPU Packages

01-24

Parallel Computation with R and XGBoost

09-10

R with Parallel Computing from User Perspectives

07-26

R and openMP: boosting compiled code on multi-core cpu-s

05-09

R for Deep Learning (III): CUDA and MultiGPUs Acceleration

05-04

R - GPU Programming for All with 'gpuR'

04-15

R benchmark for High-Performance Analytics and Computing (I):Accelerators

03-08

R for Deep Learning (II): Achieve High-Performance DNN with Parallel Acceleration

02-13

R for Deep Learning (I): Build Fully Connected Neural Network from Scratch

02-02

The R Parallel Programming Blog