This fall (2012), Chris introduced an ICT course in parallel programming on heterogeneous computers using Nvidia's CUDA technology; that is, a course on how to use your desktop as your very own supercomputer. This course He teaches ICT students to harness the processing power available on today's desktop graphics cards for computing tasks that benefit from high performance hardware. Students who finish the this course should find themselves well-positioned to assist employers and clients in parallel programming of their day-to-day desktop operations.

<p>Chris is seeking applied research initiatives in data-parallel programming to provide students who have completed his course with opportunities to apply and refine their skill set by working as research assistants on applications that benefit from heterogeneous design. He is interested in joint collaboration with academia, business, and industry on research projects that will advance the state of this technology and better prepare his students for the challenges and opportunities that are arising from the democratization of high performance computing.

Chris maintains a personal interest, outside his Seneca College duties, in developing and modelling constitutive relations for soft granular matter. He believes that this is an emerging field , which will present numerous opportunities for innovative post-modern programming in the coming decade.