Tutorial maps CPU parallelism lessons onto GPU kernels

The second installment of a free GPU kernel series uses CPU-only code to cover dependency chains, FP non-associativity, false sharing and memory-bound loops, arguing most GPU performance ideas are amplified CPU ideas; the author seeks feedback on the false-sharing explanation.