Reduction of fuel consumption and greenhouse gas emission is a challenge for our society as both targets shall be reached without drawback on mobility or freight transport. A promising approach to achieve this challenging target is the improvement of exhaust after-treatment control strategy – tightly coordinated with the respective engine. In this paper, a smart environment for the efficient validation of innovative exhaust after-treatment control strategies is proposed. The motivation is to provide a hybrid environment (mixing simulation and physical components) to reduce validation efforts and costs without impacting the representativeness of the test vectors. Second contribution is to propose a physical model-based approach for exhaust after-treatment control as well as its migration on automotive multicore computing platform for higher performance with respect to accuracy of exhaust after-treatment control, finally reducing greenhouse gas emissions while minimizing negative impact on the engine performances.