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Large-Memory Nodes for Energy Efficient High-Performance Computing

Darko Zivanovic, Milan Radulovic, Germán Llort, David Zaragoza, Janko Strassburg, Paul M. Carpenter, Petar Radojković, Eduard Ayguadé
2016 Proceedings of the Second International Symposium on Memory Systems - MEMSYS '16  
We show that, in capacity computing, where many small to medium-sized jobs have to be solved at the lowest cost, a practical energy-saving approach is to scale-in the application on large-memory nodes.  ...  Scaling-in is limited by the per-node memory capacity. We therefore consider using large-memory nodes to enable a greater degree of scaling-in.  ...  High-performance computing is broadly divided into capability and capacity computing.  ... 
doi:10.1145/2989081.2989083 dblp:conf/memsys/ZivanovicRLZSCR16 fatcat:qfo5spc3wza3vkpfnr66owaip4

A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications

Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
2013 2013 IEEE 32nd International Performance Computing and Communications Conference (IPCCC)  
Featured by high portability and programmability, Dynamic Voltage and Frequency Scaling (DVFS) has been widely employed to achieve energy efficiency for high performance applications on distributed-memory  ...  We propose an adaptively aggressive DVFS scheduling strategy to achieve energy efficiency for data intensive applications, and further save energy via speculation to mitigate DVFS overhead for imbalanced  ...  ACKNOWLEDGMENTS The authors would like to thank the HPCL Lab at the Department of Mathematics, Statistics, and Computer Science of Marquette University for providing the distributed-memory computing cluster  ... 
doi:10.1109/pccc.2013.6742766 dblp:conf/ipccc/TanCZLG13 fatcat:xiq34cjosjdalc32vqeqh77gl4

Scaling the Power Wall: A Path to Exascale

Oreste Villa, Daniel R. Johnson, Mike Oconnor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Stephen W. Keckler, William J. Dally
2014 SC14: International Conference for High Performance Computing, Networking, Storage and Analysis  
Modern scientific discovery is driven by an insatiable demand for computing performance.  ...  low-energy signaling, and on-package memory.  ...  GPUs have a large energy efficiency advantage with respect to conventional CPUs because they are designed to exploit high levels of data and thread level parallelism for performance rather than extracting  ... 
doi:10.1109/sc.2014.73 dblp:conf/sc/VillaJOBNLSWMSKD14 fatcat:63yyeyb5jrhqpp6mypnn5hz44m

Challenges and opportunities for efficient computing with FAWN

Vijay Vasudevan, David G. Andersen, Michael Kaminsky, Jason Franklin, Michael A. Kozuch, Iulian Moraru, Padmanabhan Pillai, Lawrence Tan
2011 ACM SIGOPS Operating Systems Review  
This paper presents the architecture and motivation for a clusterbased, many-core computing architecture for energy-efficient, dataintensive computing.  ...  FAWN, a Fast Array of Wimpy Nodes, consists of a large number of slower but efficient nodes coupled with low-power storage.  ...  Acknowledgments We thank Jason Campbell for feedback that improved the clarity of this paper. We would also like to thank Ken Mai for his help with understanding memory trends.  ... 
doi:10.1145/1945023.1945029 fatcat:ambe2hj4eze6thujboysdlenpu

Sunway supercomputer architecture towards exascale computing: analysis and practice

Jiangang Gao, Fang Zheng, Fengbin Qi, Yajun Ding, Hongliang Li, Hongsheng Lu, Wangquan He, Hongmei Wei, Lifeng Jin, Xin Liu, Daoyong Gong, Fei Wang (+5 others)
2021 Science China Information Sciences  
In recent years, the improvements of system performance and energy efficiency for supercomputers have faced increasing challenges, which create more intensive demands on the architecture design for realizing  ...  exascale computing.  ...  ., memory access and communication) and computing performance creats a huge obstacle for the performance of HPC.  ... 
doi:10.1007/s11432-020-3104-7 fatcat:ocmhnpa2dng2lhqhldgbcdfw2a

Energy-efficient cluster computing with FAWN

Vijay Vasudevan, David Andersen, Michael Kaminsky, Lawrence Tan, Jason Franklin, Iulian Moraru
2010 Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking - e-Energy '10  
This paper presents the architecture and motivation for a clusterbased, many-core computing architecture for energy-efficient, dataintensive computing.  ...  FAWN, a Fast Array of Wimpy Nodes, consists of a large number of slower but efficient nodes coupled with low-power storage.  ...  Acknowledgments We would like to thank Ken Mai for his help with understanding memory trends.  ... 
doi:10.1145/1791314.1791347 dblp:conf/eenergy/VasudevanAKTFM10 fatcat:6b4uj2avdba2hdd6hlonjpqwwm

PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications

Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron
2010 IEEE Transactions on Parallel and Distributed Systems  
Energy efficiency is a major concern in modern high-performance computing system design.  ...  However, despite the impact of power and energy on the computer systems community, few studies provide insight to where and how power is consumed on high-performance systems and applications.  ...  Her research interests include performance modeling and analysis, parallel and distributed systems, energy-efficient computing, high-performance computing, and computational science.  ... 
doi:10.1109/tpds.2009.76 fatcat:rnakwen5jjdijleueilj4vwkg4

Tibidabo: Making the case for an ARM-based HPC system

Nikola Rajovic, Alejandro Rico, Nikola Puzovic, Chris Adeniyi-Jones, Alex Ramirez
2014 Future generations computer systems  
We introduce the architecture of Tibidabo, the first large-scale HPC cluster built from ARM multicore chips, and a detailed performance and energy efficiency evaluation.  ...  We present the lessons learned for the design and improvement in energy efficiency of future HPC systems based on such lowpower cores.  ...  Acknowledgments Authors would like to thank to anonymous reviewers for their constructive comments. In addition, authors would like to thank to Bernard Ortiz de  ... 
doi:10.1016/j.future.2013.07.013 fatcat:psrd2ufjffgzhlrjiwbtu2tfhm

A survey of power and energy efficient techniques for high performance numerical linear algebra operations

Li Tan, Shashank Kothapalli, Longxiang Chen, Omar Hussaini, Ryan Bissiri, Zizhong Chen
2014 Parallel Computing  
The power and energy efficiency issue has become one of the primary concerns of extreme scale high performance scientific computing.  ...  This paper surveys the research on saving power and energy for numerical linear algebra algorithms in high performance scientific computing on supercomputers around the world.  ...  In this paper, we survey common power management strategies for high performance computing systems, with a focus on state-of-the-art techniques for achieving power and energy efficiency of high performance  ... 
doi:10.1016/j.parco.2014.09.001 fatcat:twdkr2hrizebvglto6dwd7jqem

An overview of energy efficiency techniques in cluster computing systems

Giorgio Luigi Valentini, Walter Lassonde, Samee Ullah Khan, Nasro Min-Allah, Sajjad A. Madani, Juan Li, Limin Zhang, Lizhe Wang, Nasir Ghani, Joanna Kolodziej, Hongxiang Li, Albert Y. Zomaya (+7 others)
2011 Cluster Computing  
Two major constraints demand more consideration for energy efficiency in cluster computing: (a) operational costs, and (b) system reliability.  ...  The survey is concluded with a brief discussion and some assumptions about the possible future directions that could be explored to improve the energy efficiency in cluster computing.  ...  The authors claim that a promising path in today's energy-efficient computing should tend us for the acceptation of: "tight constraints on per-node performance, cache, and memory capacity, together with  ... 
doi:10.1007/s10586-011-0171-x fatcat:2h5zwsjejfd4bilxkiwvqz4qvy

On the performance and energy efficiency of the PGAS programming model on multicore architectures

Jeremie Lagraviere, Johannes Langguth, Mohammed Sourouri, Phuong H. Ha, Xing Cai
2016 2016 International Conference on High Performance Computing & Simulation (HPCS)  
On the multi-node platform we used the hardware measurement solution called High definition Energy Efficiency Monitoring tool in order to measure energy.  ...  Using large-scale multicore systems to get the maximum performance and energy efficiency with manageable programmability is a major challenge.  ...  This metric is used for both the multi-node measurements and single-node measurements. The 500 Green -Energy Efficient High Performance A.  ... 
doi:10.1109/hpcsim.2016.7568416 dblp:conf/ieeehpcs/LagraviereLSHC16 fatcat:xaganptxkfbmbbrttdx5tr7hwm

Tiny GPU Cluster for Big Spatial Data: A Preliminary Performance Evaluation

Jianting Zhang, Simin You, Le Gruenwald
2015 2015 IEEE 35th International Conference on Distributed Computing Systems Workshops  
The gap makes efficient and scalable processing of large-scale data challenging, especially for geo-referenced spatial (or geospatial) data, whose processing is both data intensive and computing intensive  ...  than regular computing nodes at which Hadoop-based systems are targeting.  ...  high-end computing processors, large memory capacities and highspeed networks.  ... 
doi:10.1109/icdcsw.2015.33 dblp:conf/icdcsw/ZhangYG15 fatcat:lqn7pzsvgvb6hgf5v7oi6cdj24

EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure [article]

Magnus Själander and Magnus Jahre and Gunnar Tufte and Nico Reissmann
2022 arXiv   pre-print
For such research, access to a high-performance computing infrastructure is indispensable.  ...  performant computational resources.  ...  These nodes are used for energy-efficient computing research such as energy efficient resource management for latency-critical cloud services [37] .  ... 
arXiv:1912.05848v5 fatcat:iou6ciqihvf6tebunel2m4llhu

Power and performance optimization at the system level

Valentina Salapura, Manish Gupta, Shawn Hall, Ruud A. Haring, Philip Heidelberger, Dirk Hoenicke, Gerard V. Kopcsay, Martin Ohmacht, Rick A. Rand, Todd Takken, Pavlos Vranas, Randy Bickford (+7 others)
2005 Proceedings of the 2nd conference on Computing frontiers - CF '05  
Application benchmark power/performance scaling for the voltage-invariant energy ×delay 2 power/performance metric demonstrates that choosing a power-efficient 700MHz embedded PowerPC processor core and  ...  To exploit thread level parallelism, the BlueGene/L system can scale to 64 racks with a total of 65536 computer nodes consisting of a single compute ASIC integrating all system functions with two industry-standard  ...  The BlueGene/L computer node kernel does not implement a paging system to support virtual memory, reflecting the large number of nodes and threads provided in the system.  ... 
doi:10.1145/1062261.1062262 dblp:conf/cf/SalapuraBBBCCGGGGHHHHKORTV05 fatcat:7f64pzslz5fujmoscdrb2alxii

Software and Hardware Techniques for Power-Efficient HPC Networking

Torsten Hoefler
2010 Computing in science & engineering (Print)  
For a commodity cluster system with 512 compute nodes, the cost would be $14,400 per month. The communication network, or interconnect, forms the backbone of every large-scale computing system.  ...  Software and Hardware Techniques for Power-Efficient HPC Networking P ower-aware or "green" HPC is receiving growing attention-not least due to the eye-opening bottom line on the energy bill for most HPC  ...  Figure 2 . 2 High-performance Linpack (HPL) efficiency for the Green500 list's rank 1 and rank 10 systems.  ... 
doi:10.1109/mcse.2010.96 fatcat:sz7c44nwhba7pegjt6vg6djccm
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