scholarly journals Fast Code Exploration for Pipeline Processing in FPGA Accelerators

Author(s):  
Leandro de Souza Rosa
Keyword(s):  
NeuroImage ◽  
2003 ◽  
Vol 19 (3) ◽  
pp. 1033-1048 ◽  
Author(s):  
David E Rex ◽  
Jeffrey Q Ma ◽  
Arthur W Toga
Keyword(s):  

2004 ◽  
Author(s):  
Mike J. Irwin ◽  
Jim Lewis ◽  
Simon Hodgkin ◽  
Peter Bunclark ◽  
Dafydd Evans ◽  
...  

2020 ◽  
Vol 171 ◽  
pp. 102806
Author(s):  
Shu Yang ◽  
Lu Bai ◽  
Laizhong Cui ◽  
Zhongxing Ming ◽  
Yulei Wu ◽  
...  

Author(s):  
Yu Wu ◽  
Qi Zhang ◽  
Zhiqiang Yu ◽  
Jianhui Li

XML is playing crucial roles in web services, databases, and document representing and processing. However, the processing of XML document has been regarded as the main performance bottleneck especially for the processing of very large XML data. On the other hand, multi-core processing gains increasingly popularity both on the desktop computers and server computing machines. To take full advantage of multi-cores, we present a novel hybrid parallel XML processing model, which combines data-parallel and pipeline processing. It first partitions the XML by chunks to perform data parallel processing for both XML parsing and schema validation, then organize and execute them as a two stage pipeline to exploit more parallelism. The hybrid parallel XML processing model has shown great overall performance advantage on multi-core platform as indicated by the experiment performance results.


Author(s):  
John J. L. Chelsom

The cityEHR Electronic Health Records system is a pure XML application for managing patient health records, using open standards. The structure of the health record follows the definition in the ISO 13606 standard, which is used in cityEHR as a basis for clinicians to develop specific information models for the patient data they gather for clinical and research purposes. In cityEHR these models are represented as OWL/XML ontologies. The most widely adopted approach to modelling patient data in accordance with ISO 13606 is openEHR, which uses its own Archetype Definition Language to specify the information models used in compliant health records systems. This paper describes a translator for the Archetype Definition Language, implemented using XSLT and XML pipeline processing, which generates OWL/XML suitable for use in cityEHR.


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