Research Cluster on the use of novel hardware for real-time computing for the Digital Economy
Research Cluster on the use of novel hardware for real-time computing for the Digital Economy
批准号:
EP/G00210X/1
负责人:
Mike Giles
金额:
$21.06万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2008
资助国家:
英国
项目状态:
已结题
起止时间:
2008 至 --
中文摘要
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英文摘要
Field-programmable gate arrays (FPGAs) and graphical processing units (GPUs) are two kinds of computing hardware which offer the potential for factor 10-100 improvements in price/performance and enery efficiency compared to standard Intel and AMD processors. Although this hardware capability has existed for many years, it is only recently that the software tools have been developed to make it relatively easy for this power to be harnessed.This proposal is to fund a Research Cluster which will bring together computing experts who are specialists in working with FPGAs and GPUs, and application specialists working in key Digital Economy area, bioinformatics, medical image processing, digital media and computational finance. The interaction will be two-way, the computing specialists learning more about the computational needs and challenges of the applications, and the application specialists learning about the potential offered by these hardware platforms and the challenges in achieving this potential in practice.A number of different mechanisms will be used to build a community spirit amongst this group of researchers, most of whom have not previously known of each other's work. In addition to a kick-off meeting and a final meeting, both linked to a Multicore and Reconfigurable Supercomputing Conference, there will be 3 workshops to address different specific issues. There will be a number of scoping studies in which computing and application specialists will work together to assess the potential of FPGAs and/or GPUs for certain applications. There will be literature reviews which will collect and disseminate the state-of-the-art on certain key underlying issues. There will also be undergraduate student projects (funded via other EPSRC mechanisms) which are a cost effective way of tackling more application araeas and at the same time starting to train the next generation of computational scientists. Finally, there will be a website through which all of our results will be communicated to the wider UK research community.The main outcome from the project will be proposals for future collaborative research, building upon the foundations laid by this proposal. It is possible there may be one over-arching proposal covering all of the areas in this present proposal. Another possibility is that there may be three proposals, one on FPGAs, one on GPUs, and one on the common issues around accuracy and algorithms for finite precision arithmetic. A third possibility is that proposals will be constructed around an application theme, such as bio-informatics. Deciding on the best approach for future research is one of the challenges to be addressed in the project.
期刊论文(10)
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科研奖励(0)
会议论文
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DOI:
10.1109/sc.companion.2012.68
发表时间:
2012-11
期刊:
2012 SC Companion: High Performance Computing, Networking Storage and Analysis
影响因子:
--
作者:
[M. Giles;G. Mudalige;C. Bertolli;P. Kelly;E. László;I. Reguly]
通讯作者:
M. Giles;G. Mudalige;C. Bertolli;P. Kelly;E. László;I. Reguly
DOI:
10.1109/tpds.2011.157
发表时间:
2012-02-01
期刊:
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
影响因子:
5.3
作者:
[Klingbeil, Guido, Erban, Radek, Maini, Philip K.]
通讯作者:
Maini, Philip K.
Design and initial performance of a high-level unstructured mesh framework on heterogeneous parallel systems
异构并行系统上的高级非结构化网格框架的设计和初始性能
DOI:
10.1016/j.parco.2013.09.004
发表时间:
2013
期刊:
Parallel Computing
影响因子:
1.4
作者:
[Mudalige G]
通讯作者:
Mudalige G
A High Throughput FPGA-Based Floating Point Conjugate Gradient Implementation for Dense Matrices
基于 FPGA 的高吞吐量密集矩阵浮点共轭梯度实现
DOI:
10.1145/1661438.1661439
发表时间:
2010
期刊:
ACM Transactions on Reconfigurable Technology and Systems
影响因子:
2.3
作者:
[Roldao A]
通讯作者:
Roldao A
Observations of transients and pulsars with LOFAR international stations and the ARTEMIS backend
使用 LOFAR 国际站和 ARTEMIS 后端观测瞬变和脉冲星
DOI:
10.1017/s1743921312024623
发表时间:
2013
期刊:
Proceedings of the International Astronomical Union
影响因子:
--
作者:
[Serylak M]
通讯作者:
Serylak M
共 8 条
Maths Research Associates 2021 Oxford
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JADE: Joint Academic Data science Endeavour
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Multilevel Monte Carlo Methods for Elliptic Problems with Applications to Radioactive Waste Disposal
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Multi-layered abstractions for PDEs
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资助金额:$9.5万
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财政年份:2007
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负责人:Mike Giles
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依托单位:
国内基金
海外基金
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