Enhancing thread-level parallelism in asymmetric multicores using transparent instruction offloading

Paper in proceeding, 2020

Asymmetric multicore architectures (AMC) with single-ISA can accelerate multi-threaded applications by running the serial region on the big core and the parallel region on multiple small cores. In such architectures, all cores implement resource-expensive and application-specific instruction extensions (e.g., SIMD and FP). We argue that instead of implementing such extensions in the big core, the resources must be traded-off to increase the number of small cores. Furthermore, when the big core requires such instruction extensions, we offload execution to the small cores. This design mainly leverages the observation that SIMD/FP operations are more frequently executed inside parallel regions. The proposed AMC provides an additional 1.76x speedup and 12.4% energy savings compared to a traditional AMC of the same area due to enhanced thread-level parallelism (TLP) exploitation.