Fully homomorphic encryption (FHE) is an emerging cryptographic technology that
guarantees the privacy of sensitive user data by enabling direct computations on encrypted …

Applications extensively use data objects with a regular and fixed layout, which leads to the
recurrence of access patterns over memory regions. Spatial data prefetching techniques …

Data prefetching, ie, the act of predicting an application's future memory accesses and
fetching those that are not in the on-chip caches, is a well-known and widely used approach …

Cloud inference systems have recently emerged as a solution to the ever-increasing
integration of AI-powered applications into the smart devices around us. The wide adoption …

We are entering an era of “killer microseconds” in data center applications. Killer
microseconds refer to μs-scale “holes” in CPU schedules caused by stalls to access fast I/O …

As modern GPU workloads grow in size and complexity, there is an ever-increasing demand
for GPU computational power. Emerging workloads contain hundreds or thousands of GPU …

The Register File (RF) is a critical structure in Graphics Processing Units (GPUs) responsible
for a large portion of the area and power. To simplify the architecture of the RF, it is …

In this work, we propose a framework called REconfigurable Accelerator DeploY (READY),
the first framework to support polynomial runtime mapping of dataflow applications in high …

Graphics Processing Units (GPUs) employ a shared memory, a software-managed cache for
programmers, in each streaming multiprocessor to accelerate data sharing among the …

Facing the growing complexity of Deep Neural Networks (DNNs), high-performance and
power-efficient AI accelerators are desired to provide effective and affordable cloud …