a CUDA port of libsvm

Makefile

@@ -22,4 +22,11 @@ svm-scale: svm-scale.c
 svm.o: svm.cpp svm.h
 	$(CXX) $(CFLAGS) -c svm.cpp
 clean:
-	rm -f *~ svm.o svm-train svm-predict svm-scale libsvm.so.$(SHVER)
+	rm -f *~ svm.o svm-train svm-predict svm-scale libsvm.so.$(SHVER) svm-train-cuda svm-train.o svm-cuda.o
+
+svm-train.o: svm-train.c
+	$(CXX) $(CFLAGS) -c svm-train.c
+svm-cuda.o: svm.cpp
+	nvcc -Xcompiler -fopenmp -O3 -x cu -DSVM_CUDA -c svm.cpp -o svm-cuda.o
+svm-train-cuda: svm-train.o svm-cuda.o
+	$(CXX) $(CFLAGS) svm-train.o svm-cuda.o -o svm-train-cuda -lm -lcusparse -lcublas -lcudart -fopenmp

README

@@ -1,3 +1,17 @@
+How to build:
+make clean; make svm-train-cuda
+
+How to use:
+run svm-train-cuda instead of svm-train, with same command line arguments of svm-train
+
+tips
+try add -h 0 as arguments of svm-train-cuda, it may faster than default one(-h 1)
+
+
+///////////////////////////////////////////////////////////////////////////////////////
+
+
+
 Libsvm is a simple, easy-to-use, and efficient software for SVM
 classification and regression. It solves C-SVM classification, nu-SVM
 classification, one-class-SVM, epsilon-SVM regression, and nu-SVM