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High-performance computing continues to increase its computing power and energy efficiency. However, energy consumption continues to rise and finding ways to limit and/or decrease it is a crucial point in current research. For…

分布式、并行与集群计算 · 计算机科学 2021-08-18 Marina Morán , Javier Balladini , Dolores Rexachs , Enzo Rucci

The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution…

分布式、并行与集群计算 · 计算机科学 2024-09-05 Marina Moran , Javier Balladini , Dolores Rexachs , Emilio Luque

Failure rates in high performance computers rapidly increase due to the growth in system size and complexity. Hence, failures became the norm rather than the exception. Different approaches on high performance computing (HPC) systems have…

分布式、并行与集群计算 · 计算机科学 2017-06-15 Siavash Ghiasvand , Florina M. Ciorba

Robustly estimating energy consumption in High-Performance Computing (HPC) is essential for assessing the energy footprint of modern workloads, particularly in fields such as Artificial Intelligence (AI) research, development, and…

分布式、并行与集群计算 · 计算机科学 2024-09-10 Luis G. León-Vega , Niccolò Tosato , Stefano Cozzini

Fault tolerance overhead of high performance computing (HPC) applications is becoming critical to the efficient utilization of HPC systems at large scale. HPC applications typically tolerate fail-stop failures by checkpointing. Another…

分布式、并行与集群计算 · 计算机科学 2011-06-22 Erlin Yao , Mingyu Chen , Rui Wang , Wenli Zhang , Guangming Tan

In recent years, the energy consumption of computing systems has increased and a large fraction of this energy is consumed in main memory. Towards this, researchers have proposed use of non-volatile memory, such as phase change memory…

硬件体系结构 · 计算机科学 2013-09-17 Sparsh Mittal

Energy efficiency is a growing concern for modern computing, especially for HPC due to operational costs and the environmental impact. We propose a methodology to find energy-optimal frequency and number of active cores to run single-node…

分布式、并行与集群计算 · 计算机科学 2018-05-04 Vitor R. G. Silva , Alex Furtunato , Kyriakos Georgiou , Kerstin Eder , Samuel Xavier-de-Souza

Power consumption is a critical consideration in high performance computing systems and it is becoming the limiting factor to build and operate Petascale and Exascale systems. When studying the power consumption of existing systems running…

分布式、并行与集群计算 · 计算机科学 2015-01-27 Radim Vavřík , Antoni Portero , Štěpán Kuchař , Martin Golasowski , Simone Libutti , Giuseppe Massari , William Fornaciari , Vít Vondrák

Iterative methods are commonly used approaches to solve large, sparse linear systems, which are fundamental operations for many modern scientific simulations. When the large-scale iterative methods are running with a large number of ranks…

分布式、并行与集群计算 · 计算机科学 2018-05-30 Dingwen Tao , Sheng Di , Xin Liang , Zizhong Chen , Franck Cappello

Energy efficiency has emerged as a central challenge for modern high-performance computing (HPC) systems, where escalating computational demands and architectural complexity have led to significant energy footprints. This paper presents the…

分布式、并行与集群计算 · 计算机科学 2025-11-06 Kajol Kulkarni , Samuel Kemmler , Anna Schwarz , Gulcin Gedik , Yanxiang Chen , Dimitrios Papageorgiou , Ioannis Kavroulakis , Roman Iakymchuk

Power efficiency is critical in high performance computing (HPC) systems. To achieve high power efficiency on application level, it is vital importance to efficiently distribute power used by application checkpoints. In this study, we…

软件工程 · 计算机科学 2021-09-07 Yuping Fan

The growing energy demands of HPC systems have made energy efficiency a critical concern for system developers and operators. However, HPC users are generally less aware of how these energy concerns influence the design, deployment, and…

分布式、并行与集群计算 · 计算机科学 2025-05-28 Estela Suarez , Jorge Amaya , Martin Frank , Oliver Freyermuth , Maria Girone , Bartosz Kostrzewa , Susanne Pfalzner

The energy consumption of an exascale High-Performance Computing (HPC) supercomputer rivals that of tens of thousands of people in terms of electricity demand. Given the substantial energy footprint of exascale HPC systems and the…

最优化与控制 · 数学 2024-04-05 Luc Angelelli , Danilo Carastan-Santos , Pierre-François Dutot

Recent High-Performance Computing (HPC) systems are facing important challenges, such as massive power consumption, while at the same time significantly under-utilized system resources. Given the power consumption trends, future systems…

分布式、并行与集群计算 · 计算机科学 2024-05-08 Eishi Arima , Isaías A. Comprés , Martin Schulz

High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time - volunteer computing. This has great…

分布式、并行与集群计算 · 计算机科学 2018-10-23 A. Stephen McGough , Matthew Forshaw , John Brennan , Noura Al Moubayed , Stephen Bonner

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

分布式、并行与集群计算 · 计算机科学 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

Reducing energy consumption is one of the key challenges in computing technology. One factor that contributes to high energy consumption is that all parts of the program are considered equally significant for the accuracy of the end-result.…

Efficient utilization of today's high-performance computing (HPC) systems with complex hardware and software components requires that the HPC applications are designed to tolerate process failures at runtime. With low mean time to failure…

分布式、并行与集群计算 · 计算机科学 2018-01-16 Rizwan A. Ashraf , Saurabh Hukerikar , Christian Engelmann

Modern High Performance Computing (HPC) systems are complex machines, with major impacts on economy and society. Along with their computational capability, their energy consumption is also steadily raising, representing a critical issue…

分布式、并行与集群计算 · 计算机科学 2023-08-31 Francesco Antici , Andrea Borghesi , Zeynep Kiziltan

High Performance Computing is an internet based computing which makes computer infrastructure and services available to the user for research purpose. However, an important issue which needs to be resolved before High Performance Computing…

分布式、并行与集群计算 · 计算机科学 2015-03-13 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal , Sanjay Mahajan
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