ArrayFire Examples (Part 7 of 8) - PDE

ArrayFire ArrayFire, CUDA Leave a Comment

This is the seventh in a series of posts looking at our current ArrayFire examples. The code can be compiled and run from arrayfire/examples/ when you download and install the ArrayFire library. Today we will discuss the examples found in the pde/ directory. In these examples, my machine has the following configuration: ArrayFire v1.9.1 (build XXXXXXX) by AccelerEyes (64-bit Linux) License: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX CUDA toolkit 5.0, driver 319.17 GPU0 Tesla K20c, 5120 MB, Compute 3.5 (current) GPU1 Tesla C2075, 6144 MB, Compute 2.0 GPU2 Tesla C1060, 4096 MB, Compute 1.3 Display Device: GPU0 Tesla K20c Memory Usage: 5044 MB free (5120 MB total)   The followings are the examples of formulating Partial Differential Equations, generally used to create a relevant computer model with several variables. In these examples, ...

ArrayFire Examples (Part 6 of 8) - Multiple GPUs

ArrayFire ArrayFire, CUDA Leave a Comment

This is the sixth in a series of posts looking at our current ArrayFire examples. The code can be compiled and run from arrayfire/examples/ when you download and install the ArrayFire library. Today we will discuss the examples found in the multi_gpu/ directory. In these examples, my machine has the following configuration: ArrayFire v1.9.1 (build XXXXXXX) by AccelerEyes (64-bit Linux) License: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX CUDA toolkit 5.0, driver 319.17 GPU0 Tesla K20c, 5120 MB, Compute 3.5 (current) GPU1 Tesla C2075, 6144 MB, Compute 2.0 GPU2 Tesla C1060, 4096 MB, Compute 1.3 Memory Usage: 4935 MB free (5120 MB total) *The following order represents the speed of GPUs in my machine from fastest to slowest: K20c, C2070, C1060. ArrayFire is capable of multi-GPU management. This capability becomes useful for benchmarking ...

ArrayFire Examples (Part 5 of 8) - Machine Learning

ArrayFire ArrayFire, CUDA Leave a Comment

This is the fifth in a series of posts looking at our current ArrayFire examples. The code can be compiled and run from arrayfire/examples/ when you download and install the ArrayFire library. Today we will discuss the examples found in the machine_learning/ directory. In these examples, my machine has the following configuration: ArrayFire v1.9 (build XXXXXXX) by AccelerEyes (64-bit Mac OSX) License: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX CUDA toolkit 5.0, driver 304.54 GPU0 GeForce GT 560M, 1024 MB, Compute 3.0 (single,double) Display Device: GPU0 GeForce GT 650M Memory Usage: 245 MB free (1024 MB total)...    1. K-Means Clustering - kmeans.cpp Figure 1 This is an example of K-Means Clustering Algorithm. K-Means Clustering Algorithm is a data mining technique that partitions the given data into groups by their similarities. All you need to ...