Abstract: An offload analyzer analyzes a program for porting to a heterogenous computing system by identifying code objects for offloading to an accelerator. Runtime metrics generated by executing the program on a host processor unit are provided to an accelerator model that models the performance of the accelerator and generates estimated accelerator metrics for the program. A code object offload selector selects code objects for offloading based on whether estimated accelerated times of the code objects, which comprise estimated accelerator times and offload overhead times, are better than their host processor unit execution times. The code object offload selector selects additional code objects for offloading using a dynamic-programming-like performance estimation approach that performs a bottom-up traversal of a call tree. A heterogeneous version of the program can be generated for execution on the heterogeneous computing system.

Abstract: The system and method described herein relate to a bug positioning system for post-silicon validation of a prototype integrated circuit using statistical analysis. Specifically, the bug positioning system samples output and intermediate signals from a prototype chip to generate signatures. Signatures are grouped into passing and failing groups, modeled, and compared to identify patterns of acceptable behavior and unacceptable behavior and locate bugs in space and time.