Concurrent Support Vector Machine Processor for Disease Diagnosis

The Concurrent Support Vector Machine processor (CSVM) that performs all phases of recognition process including kernel computing, learning, and recall on a chip is proposed. The classification problems of bio data having high dimension are solved fast and easily using the CSVM. Hardware-friendly support vector machine learning algorithms, kernel adatron and kernel perceptron, are embedded on a chip. Concurrent operation by parallel architecture of elements generates high speed and throughput. Experiments on fixed-point algorithm having quantization error are performed and their results are compared with floating-point algorithm. CSVM implemented on FPGA chip generates fast and accurate results on high dimensional cancer data.