Fast profiling framework and race detection for heterogeneous system

In this paper, we proposed a pluggable GPU interface on an existing timing approximate CPU simulator based on QEMU for analyzing the memory behavior of heterogeneous systems. Monitoring the memory behavior, the pluggable interface could be extended to any kinds of accelerators, such as GPU, DSP and FPGA, for race condition detection. Taking the GPU as an example, we integrated the detailed GPU simulator from Multi2Sim with the existing timing approximate CPU simulator, VPA, to showcase the efficiency of the proposed work. The experimental results showed that the emulation speed of the proposed framework could even reach 9 ×  faster than Multi2Sim in some cases. In addition, the race condition detection mechanism further indicates the problematic memory accesses to users.