The Kz entropy, and the correlation dimension are commonly used measures of chaotic activity in com.plea: dynamic systems. The design and implem,entation of a massively parallel algorithm on the Mas-Par MP-2 for the computation of Kz entropy and the correlation dimension is presented. The algorithm is used to compute the Kz entropy and correlation dimension of experimental heart rate data. Experimental results on canine subjects support the claim that-h; entropy and the correlation dimension (an be used as a measure of the heart rate variability and the level of chaos present in, the nonlinear dynamics underlying the heart rate data. The parallel algorithm h,as potentialfor use as a tool for cardiac health. assessment and diagnosis of certain cardiac ailments.