Zilles presents two hardware/software techniques to exploit thread-parallel resources to improve sequential program performance.  The first technique uses "helper threads" to avoid stalls (due to cache misses and branch mispredictions) that would be incurred by a single-threaded execution of the program. The second technique uses a "master processor" to compute future checkpoints of program state to achieve a (speculative) parallel execution of the program. Both techniques exploit a common theme: the use of approximate versions of code to generate accurate value predictions. From the Series:CSE Colloquia - 2002