Hardware and Software Solutions for Energy‐Efficient Computing in Scientific Programming
Energy consumption is one of the major issues in today's computer science, and an
increasing number of scientific communities are interested in evaluating the tradeoff …
increasing number of scientific communities are interested in evaluating the tradeoff …
A comparative study of methods for measurement of energy of computing
Energy of computing is a serious environmental concern and mitigating it is an important
technological challenge. Accurate measurement of energy consumption during an …
technological challenge. Accurate measurement of energy consumption during an …
AI-enabling workloads on large-scale GPU-accelerated system: Characterization, opportunities, and implications
Production high-performance computing (HPC) systems are adopting and integrating GPUs
into their design to accommodate artificial intelligence (AI), machine learning, and data …
into their design to accommodate artificial intelligence (AI), machine learning, and data …
The survey on ARM processors for HPC
The ongoing effort to reach the exascale computing barrier has led to a myriad of research
and publications in the topic of alternative energy-efficient architectures, such as ARM, for …
and publications in the topic of alternative energy-efficient architectures, such as ARM, for …
Multi-agent reinforcement learning based distributed renewable energy matching for datacenters
The rapid growth of cloud computing in cloud datacenters in recent decades greatly
increases the brown energy consumption in datacenters, and hence significant increase of …
increases the brown energy consumption in datacenters, and hence significant increase of …
TensorFlow on state-of-the-art HPC clusters: a machine learning use case
G Ramirez-Gargallo, M Garcia-Gasulla… - 2019 19th IEEE/ACM …, 2019 - ieeexplore.ieee.org
The recent rapid growth of the data-flow programming paradigm enabled the development
of specific architectures, eg, for machine learning. The most known example is the Tensor …
of specific architectures, eg, for machine learning. The most known example is the Tensor …
GPU acceleration of four-site water models in LAMMPS
In this work, a new algorithm was developed for calculating the fourpoint water model TIP4P
on graphics accelerators. It was designed as a part of the flexible molecular dynamics …
on graphics accelerators. It was designed as a part of the flexible molecular dynamics …
Runtime mechanisms to survive new HPC architectures: a use case in human respiratory simulations
Computational fluid and particle dynamics (CFPD) simulations are of paramount importance
for studying and improving drug effectiveness. Computational requirements of CFPD codes …
for studying and improving drug effectiveness. Computational requirements of CFPD codes …
Advanced performance analysis of HPC workloads on Cavium ThunderX
The interest towards Arm based platforms as HPC solutions increased significantly during
the last 5 years. In this paper we show that, in contrast to the early days of pioneer tests …
the last 5 years. In this paper we show that, in contrast to the early days of pioneer tests …
A three-level modelling approach for asynchronous speed scaling in high-performance data centres
In data centres, there exist several techniques for energy efficiency purposes. When applied,
most of those techniques have impact on the quality (eg performance) of the underlying …
most of those techniques have impact on the quality (eg performance) of the underlying …