Energy efficiency and resilience are two crucial challenges for HPC systems to reach
exactable. While energy efficiency and resilience issues have been extensively studied …

It is important to minimize the energy consumption of large-scale, geographically distributed
edge data centers (EDCs). While modern processing units (PUs) have energy-saving …

One-sided dense matrix decompositions (eg, Cholesky, LU, and QR) are the key
components in scientific computing in many different fields. Although their design has been …

This paper concerns guarantees on system performance through Service Level Agreement
(SLA) compliance and focuses on devising energy aware resource management techniques …

While many linear algebra libraries have been developed to optimize their performance, no
linear algebra library considers their energy efficiency at the library design time. In this …

Clouds which continue to garner interest from practitioners in industry and academia require
effective energy aware resource managers to leverage processing power of underlying …

Ever-growing performance of supercomputers nowadays brings demanding requirements of
energy efficiency and resilience, due to rapidly expanding size and duration in use of the …

Power efficiency nowadays is a mainstream pressing issue in High Performance Computing
(HPC), due to limited power supply capability of current and projected supercomputers. As a …

Heterogeneous computing system with both CPUs and GPUs has become a class of widely
used hardware architecture in supercomputers. As heterogeneous systems delivering …

Cloud computing has emerged as one of the leading platforms for processing large-scale
data intensive applications. Such applications are executed in large clusters and data …