Cloud platforms today have been deploying hardware accelerators like neural processing
units (NPUs) for powering machine learning (ML) inference services. To maximize the …

The relentless expansion of deep learning (DL) applications in recent years has prompted a
pivotal shift towards on-device execution, driven by the urgent need for real-time processing …

The slowing of CMOS technology scaling mismatches the ever-increasing demand for
computational power, leading to a rise in the use of heterogeneous systems, which pair …