Hi, I compiled libsvm with OpenMP support based on FAQ and it compiled fine, "ldd svm-train" shows that libgomp has been linked to it and it runs fine on data as well. However the training is not faster at all. Providing OMP_NUM_THREADS=4 or with other number does not help it. Could you kindly help me track down what the issue is? Could it be the training dataset? I generated it with a function to use it for nu-SVR. Prediction works nicely, but training does not get any faster, it doesn't matter how many samples I have. The number of features is 5. Training takes around 45 seconds on my i5 CPU with and without OpenMP. Thanks.
Hi, I compiled libsvm with OpenMP support based on FAQ and it compiled fine, "ldd svm-train" shows that libgomp has been linked to it and it runs fine on data as well. However the training is not faster at all. Providing OMP_NUM_THREADS=4 or with other number does not help it. Could you kindly help me track down what the issue is? Could it be the training dataset? I generated it with a function to use it for nu-SVR. Prediction works nicely, but training does not get any faster, it doesn't matter how many samples I have. The number of features is 5. Training takes around 45 seconds on my i5 CPU with and without OpenMP. Thanks.