A Single Program Multiple Data Parallel Processing Platform for FPGAs

2004 ◽  
Author(s):  
P. James-Roxby ◽  
P. Schumacher ◽  
C. Ross
Keyword(s):  
Parallel Processing ◽  
Data Parallel ◽  
Multiple Data ◽  
Processing Platform

A 10-core SoC with 20 Fine-Grain Power Domains for Energy-Proportional Data-Parallel Processing over a Wide Voltage and Temperature Range

2021 ◽  
Author(s):  
Thomas Benz ◽  
Luca Bertaccini ◽  
Florian Zaruba ◽  
Fabian Schuiki ◽  
Frank K. Gurkaynak ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Temperature Range ◽  
Data Parallel ◽  
Fine Grain ◽  
Proportional Data

scholarly journals Static Mapping with Dynamic Switching of Multiple Data-Parallel Applications on Embedded Many-Core SoCs

2014 ◽  
Vol E97.D (11) ◽  
pp. 2827-2834 ◽  
Author(s):  
Ittetsu TANIGUCHI ◽  
Junya KAIDA ◽  
Takuji HIEDA ◽  
Yuko HARA-AZUMI ◽  
Hiroyuki TOMIYAMA
Keyword(s):  
Parallel Applications ◽  
Data Parallel ◽  
Dynamic Switching ◽  
Multiple Data ◽  
Many Core

scholarly journals Mary, Hugo, and Hugo*: Learning to schedule distributed data‐parallel processing jobs on shared clusters

2020 ◽  
Author(s):  
Lauritz Thamsen ◽  
Jossekin Beilharz ◽  
Vinh Thuy Tran ◽  
Sasho Nedelkoski ◽  
Odej Kao
Keyword(s):  
Parallel Processing ◽  
Distributed Data ◽  
Data Parallel

scholarly journals Static Mapping of Multiple Data-Parallel Applications on Embedded Many-Core SoCs

2013 ◽  
Vol E96.D (10) ◽  
pp. 2268-2271
Author(s):  
Junya KAIDA ◽  
Yuko HARA-AZUMI ◽  
Takuji HIEDA ◽  
Ittetsu TANIGUCHI ◽  
Hiroyuki TOMIYAMA ◽  
...  
Keyword(s):  
Parallel Applications ◽  
Data Parallel ◽  
Multiple Data ◽  
Many Core

A Hybrid Parallel Processing for XML Parsing and Schema Validation

2009 ◽  
Author(s):  
Yu Wu ◽  
Qi Zhang ◽  
Zhiqiang Yu ◽  
Jianhui Li
Keyword(s):  
Parallel Processing ◽  
The Other ◽  
Xml Parsing ◽  
Data Parallel ◽  
Desktop Computers ◽  
Xml Document ◽  
Pipeline Processing ◽  
Overall Performance ◽  
Performance Results ◽  
Computing Machines

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.

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