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Akademický článek
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Autor:
Inggs, Gordon
Computing is increasingly heterogeneous. Beyond Central Processing Units (CPUs), different architectures such as massively parallel Graphics Processing Units (GPUs) and reconfigurable Field Programmable Gate Arrays (FPGAs) are seeing widespread adopt
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.684322
Autor:
Inggs, Gordon
Increasingly FPGAs will be deployed at scale due to the need for increased need for power efficient computation and improved high level synthesis tool flows, creating a new category of device: data centre FPGAs. A method for using these FPGAs is to i
Externí odkaz:
http://arxiv.org/abs/1607.05069
Autor:
Inggs, Gordon Eric
This dissertation is concerned with the thesis that it is possible for a software defined radio system that has been described in accordance with synchronous data flow theory to be implemented upon a reconfigurable computing platform.
Externí odkaz:
http://hdl.handle.net/11427/11681
In the near future FPGAs will be available by the hour, however this new Infrastructure as a Service (IaaS) usage mode presents both an opportunity and a challenge: The opportunity is that programmers can potentially trade resources for performance o
Externí odkaz:
http://arxiv.org/abs/1506.06684
Users of heterogeneous computing systems face two problems: firstly, in understanding the trade-off relationships between the observable characteristics of their applications, such as latency and quality of the result, and secondly, how to exploit kn
Externí odkaz:
http://arxiv.org/abs/1505.04417
We advocate a domain specific software development methodology for heterogeneous computing platforms such as Multicore CPUs, GPUs and FPGAs. We argue that three specific benefits are realised from adopting such an approach: portable, efficient implem
Externí odkaz:
http://arxiv.org/abs/1408.4965
Autor:
Bagula, Antoine B.1 bagula@cs.uct.ac.za, Inggs, Gordon1 inggor001@uct.ac.za, Scott, Simon1 sctsim003@uct.ac.za, Zennaro, Marco2,3 mzennaro@ictp.it
Publikováno v:
Sensors (14248220). 2009, Vol. 9 Issue 6, p4845-4868. 24p. 3 Color Photographs, 1 Diagram, 4 Charts, 11 Graphs.
Akademický článek
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Publikováno v:
FPGA Based Accelerators for Financial Applications; 2015, p97-115, 19p