A Reconfigurable Computing Approach for Efficient and Scalable Parallel Graph Exploration

2012 ◽  
Author(s):  
Brahim Betkaoui ◽  
Yu Wang ◽  
David B. Thomas ◽  
Wayne Luk
Keyword(s):  
Reconfigurable Computing ◽  
Graph Exploration ◽  
Parallel Graph ◽  
Computing Approach

A comprehensive reconfigurable computing approach to memory wall problem of large graph computation

2016 ◽  
Vol 70 ◽  
pp. 59-69 ◽  
Author(s):  
Xu Wang ◽  
Yongxin Zhu ◽  
Linan Huang
Keyword(s):  
Reconfigurable Computing ◽  
Memory Wall ◽  
Large Graph ◽  
Graph Computation ◽  
Computing Approach

Database Analytics: A Reconfigurable-Computing Approach

IEEE Micro ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Bharat Sukhwani ◽  
Hong Min ◽  
Mathew Thoennes ◽  
Parijat Dube ◽  
Bernard Brezzo ◽  
...  
Keyword(s):  
Reconfigurable Computing ◽  
Computing Approach

scholarly journals Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

2011 ◽  
Author(s):  
Sungpack Hong ◽  
Tayo Oguntebi ◽  
Kunle Olukotun
Keyword(s):  
Graph Exploration ◽  
Parallel Graph

scholarly journals Reconfigurable Computing for Reactive Robotics Using Open-Source FPGAs

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
José M. Cañas ◽  
Jesús Fernández-Conde ◽  
Julio Vega ◽  
Juan Ordóñez
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Open Source ◽  
Reconfigurable Computing ◽  
Intelligent Systems ◽  
Visual Programming ◽  
Low Power Consumption ◽  
Intelligent Robots ◽  
Field Programmable ◽  
Computing Approach

Reconfigurable computing provides a paradigm to create intelligent systems different from the classic software computing approach. Instead of using a processor with an instruction set, a full stack of middleware, and an application program running on top, the field-programmable gate arrays (FPGAs) integrate a cell set that can be configured in different ways. A few vendors have dominated this market with their proprietary tools, hardware devices, and boards, resulting in fragmented ecosystems with few standards and little interoperation. However, a new and complete toolchain for FPGAs with its associated open tools has recently emerged from the open-source community. Robotics is an expanding application field that may definitely benefit from this revolution, as fast speed and low power consumption are usual requirements. This paper hypothesizes that basic reactive robot behaviors may be easily designed following the reconfigurable computing approach and the state-of-the-art open FPGA toolchain. They provide new abstractions such as circuit blocks and wires for building intelligent robots. Visual programming and block libraries make such development painless and reliable. As experimental validation, two reactive behaviors have been created in a real robot involving common sensors, actuators, and in-between logic. They have been also implemented using classic software programming for comparison purposes. Results are discussed and show that the development of reactive robot behaviors using reconfigurable computing and open tools is feasible, also achieving a high degree of simplicity and reusability, and benefiting from FPGAs’ low power consumption and time-critical responsiveness.

Reconfigurable Computing Approach for Tate Pairing Cryptosystems over Binary Fields

2009 ◽  
Vol 58 (9) ◽  
pp. 1221-1237 ◽  
Author(s):  
Chang Shu ◽  
Soonhak Kwon ◽  
K. Gaj
Keyword(s):  
Reconfigurable Computing ◽  
Tate Pairing ◽  
Binary Fields ◽  
Computing Approach

SOFT COMPUTING APPROACH TO DETECT FAULT IN INDUCTION MOTOR

2018 ◽  
Vol 12 (2) ◽  
pp. 6
Author(s):  
SEKHAR PUHAN PRATAP ◽  
BEHERA SUDARSAN ◽  
◽  
Keyword(s):  
Induction Motor ◽  
Soft Computing ◽  
Computing Approach

A Quantum Computing Approach to Model Checking for Advanced Manufacturing Problems

2014 ◽  
Author(s):  
Federico M. Spedalieri ◽  
John Damoulakis
Keyword(s):  
Quantum Computing ◽  
Model Checking ◽  
Advanced Manufacturing ◽  
Manufacturing Problems ◽  
Computing Approach

Review of Fault Diagnosis System using Soft Computing Approach

2020 ◽  
Author(s):  
Nitin N. Mandaogade ◽  
Prashant V. Ingole
Keyword(s):  
Fault Diagnosis ◽  
Soft Computing ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Computing Approach
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