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The GPU as a high performance computational resource

Tor Dokken, Trond R. Hagen, Jon M. Hjelmervik
2005 Proceedings of the 21st spring conference on Computer graphics - SCCG '05  
At SINTEF in Norway a 4-year strategic institute project (2004)(2005)(2006)(2007) "Graphics hardware as a high-end computational resource", http://www.math.sintef.no/gpu/ aims at making GPUs available  ...  as a computational resource both to academia and industry.  ...  Our application was successful, and we were awarded a Strategic Research Project "Graphics hardware as a high-end computational resource", http://www.math.sintef.no/gpu/, for the period 2004-2007.  ... 
doi:10.1145/1090122.1090126 dblp:conf/sccg/DokkenHH05 fatcat:pjaqblow3vc23mzeafh6ara3ay

Impact of Warp Formation on GPU Performance

Hong Jun Choi, Dong Oh Son, Cheol Hong Kim
2013 International Journal of Computer and Communication Engineering  
In GPU architecture, threads are grouped into a warp to run on the SIMD pipeline, leading to high performance.  ...  As computing power of GPU increases dramatically, the GPU is widely used for general-purpose parallel applications as well as graphics applications.  ...  The performance gap between PDOM/NRCV and DWF is continuously decreased as computational resources are reduced.  ... 
doi:10.7763/ijcce.2013.v2.180 fatcat:jswfns4clrhmfetep3dgksanui

Analytical Study of Various High Performance Computing Paradigms

Rashmi Gupta, Omesh Kumar, Aditi Sharma
2012 International Journal of Applied Information Systems  
Cloud, Grid, Cluster and General Purpose-Graphical Processing Unit (GP-GPU) computing are High Performance Computing (HPC) technologies and are growing very quickly.  ...  However despite of the various advantages offered by these high performance computing paradigms, there are significant drawbacks of each computing technology such as highly dependability over network services  ...  This ratio shows why GPU computing has been categorized as high performance computing.  ... 
doi:10.5120/ijais12-450228 fatcat:gog4cestzrc2dfi422wsltdyx4

A systems perspective on GPU computing

Naila Farooqui
2016 Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit - GPGPU '16  
, virtualization technologies, enterprise middleware, and high-performance computing.  ...  Over a distinguished career, Regents Professor Karsten Schwan has made significant contributions across a diverse array of topics in computer systems, including operating systems for multi-core platforms  ...  Acknowledgments We would like to thank Professor Sudhakar Yalamanchili, Ada Gavrilovska, Vishakha Gupta, Sudarsun Kannan, Alexander Merritt, and Dipanjan Sengupta for their feedback and assistance with the  ... 
doi:10.1145/2884045.2884057 dblp:conf/ppopp/Farooqui16 fatcat:lcxhf6nfsvannnbp5lusxudmmu

Performance study of interference on GPU and CPU resources with multiple applications

Shinichi Yamagiwa, Koichi Wada
2009 2009 IEEE International Symposium on Parallel & Distributed Processing  
for improvements in the level of visual fidelity, which is only achieved with high performing GPU solutions.  ...  Beside the entertainment market, there is an ongoing global research effort for using such immense computing power for applications beyond graphics, such as the domain of general purpose computing.  ...  Nowadays, high performance computing has shifted most of algorithmically research effort towards using the GPUs as a replacement for traditional CPU as the workhorse for computational demanding applications  ... 
doi:10.1109/ipdps.2009.5160873 dblp:conf/ipps/YamagiwaW09 fatcat:im5fbrngzfa6neo4zis6aggddq

Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units

Wenwu Tang, David A. Bennett
2011 Ecological Modelling  
Computing resources were partially provided by a GPU cluster (http://www.ncsa.uiuc.edu/Projects/GPUcluster/) at National Center for Supercomputing Applications, USA.  ...  -Collaborative Research: AOC Social Complexity and the Management of the Commons‖, and NSF TeraGrid Supercomputing Resource Award (TG-SES090019 and TG-SES070004), -Extending and Sustaining GISolve as a  ...  GPUs enable the execution of a massive number of threads using hundreds of computing cores in parallel so as to achieve high-performance computation for agent-based modelling.  ... 
doi:10.1016/j.ecolmodel.2011.08.016 fatcat:hx773mtxvbdutfpktvci7ufx44

VGRIS

Miao Yu, Chao Zhang, Zhengwei Qi, Jianguo Yao, Yin Wang, Haibing Guan
2013 Proceedings of the 22nd international symposium on High-performance parallel and distributed computing - HPDC '13  
To achieve the efficiency of computational resource management, there is a demand for cloud computing to employ the multi-task scheduling technologies to improve the utilization of GPU.  ...  In this paper, we propose VGRIS, a resource management framework for Virtualized GPU Resource Isolation and Scheduling in cloud gaming.  ...  Due to the powerful performance on floating-pointing arithmetic as well as cost-efficiency, GPU virtualization has been widely studied, especially in the High Performance Computing (HPC) domain.  ... 
doi:10.1145/2493123.2462914 fatcat:biyj3komtvb2pmzmyuvt6umx34

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.  ...  Specifically, general-purpose, graphic-processing units (GPGPUs) became increasingly popular as a means to accelerate programs in high-performance computing (HPC) and artificial intelligence.  ... 
arXiv:1912.05848v5 fatcat:iou6ciqihvf6tebunel2m4llhu

Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems

Jing Zhang, Hao Wang, Heshan Lin, Wu-Chun Feng
2013 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing  
systems, and in turn, simultaneously improve performance, resource utilization, energy consumption, and energy efficiency, as measured by the energy-delay product.  ...  By scheduling multiple applications with complementary resource requirements on a smaller number of compute nodes, we aim to improve performance, resource utilization, energy consumption, and energy efficiency  ...  Introduction In high-performace computing (HPC), we have witnessed a dramatic increase of data-parallel architectures, such as graphics processing units (GPUs), due to their superior performance and energy  ... 
doi:10.1109/hpcc.and.euc.2013.64 dblp:conf/hpcc/ZhangWLF13 fatcat:zynfzwjeijfvppxfbnwgzsfbfe

GPUs

Kayvon Fatahalian, Mike Houston
2008 Queue  
Both of these visual experiences require hundreds of gigaflops of computing performance, a demand met by the GPU (graphics processing unit) present in every consumer PC. a closer look GPUs As the line  ...  Disappointed, the user exits the game and returns to a computer desktop that exhibits the stylish 3D lookand-feel of a modern window manager.  ...  As a result, GPUs deliver high performance and expose an expressive but simple programming interface.  ... 
doi:10.1145/1365490.1365498 fatcat:kj6hngzwpzayjimauglzxna2xy

High-Performance Ptychographic Reconstruction with Federated Facilities [article]

Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
2021 arXiv   pre-print
When deployed on the DGX A100 ThetaGPU cluster at the Argonne Leadership Computing Facility and a microscopy beamline at the Advanced Photon Source, our system performs analysis as an experiment progresses  ...  Typically, these facilities are equipped only with modest compute resources for the analysis of generated experimental datasets.  ...  This research used resources of the Argonne Leadership Computing Facility and Advanced Photon Source, which are U.S.  ... 
arXiv:2111.11330v1 fatcat:kjp727sslfbwvcnj3pz3lsan3e

Enhancing Cloud-Based Servers by GPU/CPU Virtualization Management [chapter]

Tin-Yu Wu, Wei-Tsong Lee, Chien-Yu Duan, Tain-Wen Suen
2013 Smart Innovation, Systems and Technologies  
Therefore, how to distribute the computing performance of CPUs and GPUs appropriately becomes a significant issue.  ...  Furthermore, for groups of virtual servers, many tasks actually can be completed by CPUs without the support of GPUs. Thus, it is a waste of resources to implement GPUs to all physical servers.  ...  CONCLUSION AND FUTURE OBJECTIVE This paper proposed a scheme to integrate GPU with cloud computing for users to utilize high-performance but low-cost GPU resource without building devices by themselves  ... 
doi:10.1007/978-3-642-35473-1_20 fatcat:4r2mt3n7y5eqdidh4mhowv4oqq

A closer look at GPUs

Kayvon Fatahalian, Mike Houston
2008 Communications of the ACM  
As a result, GPUs deliver high performance and expose an expressive but simple programming interface.  ...  The key to high performance lies in strategies that hardware components and their corresponding software interfaces use to keep GPU processing resources busy.  ... 
doi:10.1145/1400181.1400197 fatcat:alxras5gpbagnbwkmbxgcumoyu

Server Selection, Configuration and Reconfiguration Technology for IaaS Cloud with Multiple Server Types

Yoji Yamato
2017 Journal of Network and Systems Management  
Our proposed technology select appropriate servers for user compute resources from various types of hardware, such as GPUs and FPGAs, or set appropriate configurations or reconfigurations of FPGAs to use  ...  Our objective for this study was to enable cloud providers to provision compute resources on appropriate hardware based on user requirements, so that users can benefit from high performance of their applications  ...  A GPU is a computational unit originally for graphics processing and is designed for high throughput.  ... 
doi:10.1007/s10922-017-9418-z fatcat:jlifv7ts6jg5va464u467rilyu

Understanding wafer-scale GPU performance using an architectural simulator

Chris Thames, Hang Yan, Yifan Sun
2022 Proceedings of the 14th Workshop on General Purpose Processing Using GPU  
This increased capability results in an increase in complexity in managing the memory and computing resources.  ...  Existing solutions have demonstrated the possibility of integrating multi-CPU and multi-GPU systems at a significantly larger scale on a wafer.  ...  Adding more computing resources to a 9x9 mesh introduces too high communication latency and can reduce the overall performance.  ... 
doi:10.1145/3530390.3532736 fatcat:ifllovzjoffi3pi4gj6soc2sfa
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