As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …

Smart cities and other cyber-physical systems (CPSs) rely on various scientific, engineering,
business, and social applications that provide timely intelligence for their design, operations …

Extreme scale supercomputers available before the end of this decade are expected to have
100 million to 1 billion computing cores. The power and energy efficiency issue has become …

We introduce a systematic analysis in order to fuse CUDA kernels arising in efficient iterative
methods for the solution of sparse linear systems. Our procedure characterizes the input and …

The advent of the modern GPU architecture has enabled computers to use General Purpose
GPU capabilities (GPGPU) to tackle large scale problem at a low computational cost. This …

Increasingly, large-scale computing systems are consuming more power each passing year.
As power consumption is on the rise, concern has been raised over the growing implications …

In this paper, we analyze the interactions occurring in the triangle performance‐power‐
energy for the execution of a pivotal numerical algorithm, the iterative conjugate gradient …

In this paper we introduce a redesign of the conjugate gradient method for the iterative
solution of sparse linear systems on heterogeneous systems accelerated by graphics …

In this paper, we analyze the power consumption of different GPU-accelerated iterative
solver implementations enhanced with energy-saving techniques. Specifically, while …