jar

/*
 * A 32-bit floating pont random number generator [0,1) for the Adapteva Epiphany
 * Based on http://simul.iro.umontreal.ca/rng/lfsr113.c
 * A shortcut was taken for conversion of unsigned int to floating point so that
 * half of the results are off by the least significant bit. This probably shouldn't
 * be used for Monte Carlo simulation, but should still have a normal distribution
 * and the underlying state remains the same.
 * C Prototype: float randf(void);
 */
	.section .text

jar

/* // Optimized Dot Product routine follows this protoype
float dot_product(const float* a, const float* b, int nd8m1) {
  int i;
  float c = 0.0f;
  int n = (nd8m1+1)*8;
  for (i=0; i<n; i++) {
    c += a[i] * b[i];
  }
  return c;
} */

jar

/*
unsigned int t0, t1;
ctimer_start();
t0 = ctimer_get();
// place timed code here
t1 = ctimer_get();
unsigned int dt = t0 – t1; // elapsed time in clock cycles
*/

static void ctimer_start(void)