Energy efficiency of GPU architectures has emerged as an important aspect of computer
system design. In this paper, we explore the energy benefits of reducing the GPU chip's …

We empirically evaluate an undervolting technique, ie, underscaling the circuit supply
voltage below the nominal level, to improve the power-efficiency of Convolutional Neural …

Energy efficiency is a known major concern for computing system designers. Significant
effort is devoted to power optimization of modern systems, especially in large-scale …

Increasing communication overheads are already threatening computer system scaling. One
approach to dramatically reduce communication overheads is waferscale processing …

Modern large-scale computing systems (data centers, supercomputers, cloud and edge
setups and high-end cyber-physical systems) employ heterogeneous architectures that …

Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory
bandwidth requirements. An HBM-enabled device consists of multiple DRAM layers stacked …

The register file is one of the largest and most power-hungry structures in a Graphics
Processing Unit (GPU), because massive multithreading requires all the register state for …

Underscaling the supply voltage (V dd) to ultra-low levels below the safe-operation
threshold voltage (V min) holds promise for substantial power savings in digital CMOS …

Modern large-scale computing systems (data centers, supercomputers, cloud and edge
setups and high-end cyber-physical systems) employ heterogeneous architectures that …

Accelerators make the task of building systems that are re-silient against transient errors like
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …