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Fast bio-inspired computation using a GPU-based systemic computer
2010
Parallel Computing
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Models of biological systems and bio-inspired algorithms also share this parallelism, although most are simulated on serial computers. ...
Previous work created the systemic computer -a new model of computation designed to exploit many natural properties observed in biological systems, including parallelism. ...
This work describes a novel GPU-based implementation of the bio-inspired computing approach known as systemic computation. The next section summarizes systemic computation. ...
doi:10.1016/j.parco.2010.07.004
fatcat:oyxyfaxntbebjmubeipdbuphma
Systemic Computation Using Graphics Processors
[chapter]
2010
Lecture Notes in Computer Science
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The GPU Systemic Computation Architecture is the first implementation that enables parallel systemic computation by exploiting multiple cores available in graphics processors. ...
Previous work created the systemic computer -a model of computation designed to exploit many natural properties observed in biological systems, including parallelism. ...
This work describes a novel GPU-based implementation of the bio-inspired computing approach known as systemic computation. The next section summarizes systemic computation. ...
doi:10.1007/978-3-642-15323-5_11
fatcat:tbn5orotbzdtzi3b2cvgn43upm
ASSOCIATION RULE MINING USING BIO INSPIRED BEES SWARM INTELLIGENCE ON CUDA
2017
International Journal of Advanced Research in Computer Science
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For such issues solution can be provided by graphics processing units (GPUs). They are massively multithreaded processors. In this case GPUs can be used to increase performance of the computation. ...
Bees swarm intelligence algorithm for association rule mining can be designed using GPUs in multithreaded environment which will be efficient for given datasets. ...
CONCLUSION Bio inspired swarm intelligence based approaches are more powerful than traditional problem solving techniques. ...
doi:10.26483/ijarcs.v8i7.4572
fatcat:zr6my6dmdnf2jjwbi5cgbg4ozq
Workload Partitioning of a Bio-inspired Simultaneous Localization and Mapping Algorithm on an Embedded Architecture
2021
International Journal of Advanced Computer Science and Applications
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Keywords-Simultaneous localization and mapping (SLAM); Bio-inspired algorithms; CPU-GPU workload partitioning; embedded systems; visual acuity (VA); hardware/software codesign ( ...
This paper is a study of a bio-inspired SLAM algorithm with the aim of making it suitable for an implementation on a heterogeneous architecture dedicated for embedded applications. ...
AKNOWLEDGMENT This research is supported by Information Systems and Technologies Engineering Laboratory, LISTI. ...
doi:10.14569/ijacsa.2021.0120528
fatcat:htuxlqxt3rhshorfhnyxqu37gi
Special issue on heterogeneous real-time image processing
2018
Journal of Real-Time Image Processing
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More specifically, the authors tightly couple a computationally intensive histogram of oriented gradient (HOG) pipeline implemented in an FPGA with a bio-inspired spatiotemporal filter running on a CPU ...
[1] proposes a very fast superpixel segmentation method, which has many applications in computer vision. ...
doi:10.1007/s11554-018-0763-2
fatcat:q2e4hg43eng4losfaw7ykkkkiq
Table of contents
2010
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
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Bio-Inspired Coverage-Aware Scheduling Scheme for Wireless Sensor Networks Xin Fei, Samer Samarah and Azzedine Boukerche HiCOMB -Workshop on High Performance Computational Biology GPU-Accelerated Multi-scoring ...
Van Zee and Jim Nagle AUTO-GC: Automatic Translation of Data Mining Applications to GPU Clusters Wenjing Ma and Gagan Agrawal
Fast Binding Site Mapping using GPUs and CUDA Bharat Sukhwani and Martin ...
Andreas Dittrich and Felix Salfner Analysis of Network Topologies and Fault-Tolerant Routing Algorithms using Binary Decision Diagrams Andreas C. ...
doi:10.1109/ipdpsw.2010.5470714
fatcat:cln6cqeiljbvhfbg3pkziyj5fm
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma
2012
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12
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Medical Imaging using Bio-Inspired and Soft Computing" (MIBISOC) is a Marie Curie Initial Training Network (ITN) within the EU Seventh Framework Programme. ...
MIBISOC is a training programme in which sixteen Early-Stage Researchers (ESRs) are exposed to a wide variety of Soft Computing (SC) and Bio-Inspired Computing (BC) techniques, and face the challenge of ...
months under the umbrella of a formation program in Medical Imaging (MI) using Bio-Inspired Computing (BC) and Soft Computing (SC) which will allow them to obtain their PhD degree. ...
doi:10.1145/2330784.2330865
dblp:conf/gecco/CagnoniCMNU12
fatcat:rp3xgwwqyrafxn5myot2qo5jnq
Special issue on robot vision: what is robot vision?
2015
Journal of Real-Time Image Processing
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They address the resulting demand for high frame rates with a specifically optimized bio-inspired real-time architecture in their paper 'Embedded and real-time architecture for bio-inspired vision-based ...
The second trend is to address real-time performance using massive parallelism by GPU computing. This is remarkable as parallel computing has been a research topic for a long time. ...
doi:10.1007/s11554-015-0541-3
fatcat:kfglejds7je4jo5dowqyeklqyi
Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR
2020
PLoS ONE
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, integrated System-on-Chip-based hardware module. ...
Emulating the highly resource-efficient processing of visual motion information in the brain of flying insects, a bio-inspired controller for collision avoidance and navigation was implemented on a novel ...
Resource consumption of the FPGA-based SoC implementation The first implementation of the proposed bio-inspired vision processing algorithm uses the novel Apalis Zynq module which is based on a Xilinx ...
doi:10.1371/journal.pone.0230620
pmid:32236111
fatcat:wclrd2h2r5hdhkiwew2xck7maq
Biologically Sound Neural Networks for Embedded Systems Using OpenCL
[chapter]
2013
Lecture Notes in Computer Science
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We show that an optimized GPU kernel code can perform sufficiently fast to be used for future embedded neural processing. ...
In this paper, we present an OpenCL implementation of a biologically sound spiking neural network with two goals in mind: First, applied neural dynamics should be accurate enough for bio-inspired training ...
Such neural networks are usually computationally complex and often require high performance computers (or even supercomputers) to run. ...
doi:10.1007/978-3-642-40148-0_18
fatcat:p4vdazof35cn7jnsq5qgzk7qyi
Improving Artificial-Immune-System-based computing by exploiting intrinsic features of computer architectures
2016
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
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We propose that the efficacy of AIS-based computing for tackling real world datasets can be improved by the exploitation of intrinsic features of computer architectures. ...
This paper reviews and evaluates current existing implementation solutions for AIS on different computing paradigms and introduces the idea of "C Principles" and "A Principles". ...
of each may enhance the efficacy of a bio-inspired AIS algorithm. ...
doi:10.1109/ssci.2016.7850157
dblp:conf/ssci/DengBM16
fatcat:34jvqp74ojcijdz4np6c7ekzsi
Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research
2011
The 2011 International Joint Conference on Neural Networks
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The software provides many different tools and biologically-inspired models, useful for cognitive and developmental robotics research. ...
This paper presents a novel open-source software application, Aquila, developed as a part of the ITALK and RobotDoC projects. ...
simulator (see section II-A) but also for the design of multiple tools and bio-inspired models (see section II-B) that are useful for cognitive robotics research. ...
doi:10.1109/ijcnn.2011.6033436
dblp:conf/ijcnn/PeniakMLRC11
fatcat:bjquzpnafvcjtbczanyk35xmci
Solving the DNA fragment assembly problem with a parallel discrete firefly algorithm implemented on GPU
2018
Computer Science and Information Systems
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Therefore, the use of GPU-based parallel computing it is possible as a complementary tool to speed-up the search. ...
Recently, the Graphics Processing Units (GPUs) technology are emerge as a novel environment for a parallel implementation and execution of bio-inspired algorithms. ...
Adapting this kind of bio-inspired algorithm is not a straightforward task because hierarchical memory management on GPU has to be handled. ...
doi:10.2298/csis170510009v
fatcat:z6muqcgrefaxndkw2dmwrcxu2m
GPU Computation in Bioinspired Algorithms: A Review
[chapter]
2011
Lecture Notes in Computer Science
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In this sense, recently there has been a growing interest in developing parallel algorithms using graphic processing units (GPU) also refered as GPU computation. ...
This paper reviews the use of GPUs to solve scientific problems, giving an overview of current software systems. ...
Most of the bio-inspired methods use the GPU mainly to speed up just the fitness evaluation (usually the most time-expensive process). ...
doi:10.1007/978-3-642-21501-8_54
fatcat:xhi7taielje3ndese65g336yxi
Embedded Vision Systems: A Review of the Literature
[chapter]
2018
Lecture Notes in Computer Science
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This review is expected to serve as a tutorial and reference source for embedded computer vision systems. ...
The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. ...
Biologically inspired vision systems The ability to detect moving objects in a scene is a fundamental problem in computer vision. ...
doi:10.1007/978-3-319-78890-6_17
fatcat:kqnrlm75nzgcxhlcitijhwjk2m
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