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Using VLIW softcore processors for image processing applications
2015
2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)
high image processing performance for the targeted application. ...
The ever-increasing complexity of advanced highresolution image processing applications requires innovative solutions to ensure addressing this issue efficiently and cost effectively. ...
These improvements are needed in the following of areas: • How to efficiently stream data to and from the FPGA • Designing a fast memory hierarchy on the FPGA or a means to efficiently stream data between ...
doi:10.1109/samos.2015.7363691
dblp:conf/samos/HoozemansWA15
fatcat:tt6qnk2xobb2hjzg4iml7yrt7a
Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications
2019
Journal of Signal Processing Systems
First, this calls for a specialized streaming memory hierarchy and accompanying software framework that transparently moves image segments between stages in the image processing pipeline. ...
This paper presents and evaluates an approach to deploy image and video processing pipelines that are developed frame-oriented on a hardware platform that is stream-oriented, such as an FPGA. ...
The workload of the medical imaging platform consist of window-based image processing algorithms. ...
doi:10.1007/s11265-018-1422-3
pmid:30873259
pmcid:PMC6390719
fatcat:cmnzbsesdvhwbkqgf46bpdb4my
ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA
2019
Journal of Signal Processing Systems
The ALMARVI platform uses processing elements based on both VLIW and Transport Triggered Architectures (ρ-VEX and TCE cores, respectively). ...
The proliferation of processing hardware alternatives allows developers to use various customized computing platforms to run their applications in an optimal way. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1007/s11265-018-1424-1
pmid:30873260
pmcid:PMC6390713
fatcat:7fnj3sap6je47gwlihk6hb5wxq
, Indianapolis (IUPUI) that provides hardware accelerated data stream processing using Field Programmable Gate Arrays (FPGAs). ...
using image processing and data stream management techniques in order to detect significant events of interest or abnormal conditions. ...
Moreover, as streaming applications are computationally intensive with high computation to memory-access ratio, other FPGA-based techniques such as functional pipelining and VLIW microarchitectures also ...
doi:10.1145/1807167.1807304
dblp:conf/sigmod/VaidyaLBDNX10
fatcat:p6pe2enib5e33e577frco74mly
A Survey of Coarse-Grained Reconfigurable Architecture and Design
2019
ACM Computing Surveys
and industry, because they offer the performance and energy efficiency of hardware with the flexibility of software. ...
This article reviews the architecture and design of CGRAs thoroughly for the purpose of exploiting their full potential. First, a novel multidimensional taxonomy is proposed. ...
Third, as a typical spatial computing fabric, CGRAs are suitable for integration with the memory array in a PIM manner. ...
doi:10.1145/3357375
fatcat:pqi4d33i6bg45a6llswhwd44qi
A Survey on Coarse-Grained Reconfigurable Architectures from a Performance Perspective
[article]
2020
arXiv
pre-print
We find that there are ample opportunities for future research on CGRAs, in particular with respect to size, functionality, support for parallel programming models, and to evaluate more complex applications ...
With the end of both Dennard's scaling and Moore's law, computer users and researchers are aggressively exploring alternative forms of compute in order to continue the performance scaling that we have ...
ACKNOWLEDGEMENTS This article is based on results obtained from a project commissioned by the New energy and Industrial Technology Development Organization (NEDO). ...
arXiv:2004.04509v1
fatcat:sxnq32chxjf6hfc5ygjsxqjwl4
State-of-the-art in Heterogeneous Computing
2010
Scientific Programming
With the increase of fine-grained parallelism in high-performance computing, as well as the introduction of parallelism in workstations, there is an acute need for a good overview and understanding of ...
programmable gate arrays (FPGAs). ...
ACKNOWLEDGEMENTS The authors would like to thank Gernot Ziegler at NVIDIA Corporation, Knut-Andreas Lie and Johan Seland at SINTEF ICT, and Praveen Bhaniramka and Gaurav Garg at Visualization Experts Limited for ...
doi:10.1155/2010/540159
fatcat:xu4n5ubgfzh3bobd445cmg7qyu
Real-Time Image and Video Processing: From Research to Reality
2006
Synthesis Lectures on Image Video and Multimedia Processing
KEYWORDS Real-time image and video processing, Real-time implementation strategies, Algorithmic simplifications for real-time image and video processing, Hardware platforms for real-time image and video ...
processing, Software methods for real-time image and video processing ...
With such technology at hand, new applications for image processing were quickly developed, most notably including among others, industrial inspection and medical imaging. ...
doi:10.2200/s00021ed1v01y200604ivm005
fatcat:aql6kiww3rhtje6py3uhw3p4f4
Towards the Optimal Hardware Architecture for Computer Vision
[chapter]
2012
Machine Vision - Applications and Systems
They are widely used for prototyping custom ICs but FPGA-based applications have their own niche. ...
This network has a complex hierarchy with optimizations for specific functions. ...
doi:10.5772/34023
fatcat:higcvn5ffrhzlieberxwiatasa
A survey of multicore processors
2009
IEEE Signal Processing Magazine
The characteristics we focus on are application domain, power/performance, processing elements, memory system, and accelerators/integrated peripherals. [ A review of their common attributes ] ...
In this article, we cover some of the attributes common to all multicore processor implementations and illustrate these attributes with current and future commercial multicore designs. ...
As noted, this architecture is well suited for applications that are highly data dominated, for example, medical imaging, and financial data processing. ...
doi:10.1109/msp.2009.934110
fatcat:bz43svicrrgt5ez37hztkqalwa
Advances in hardware design and implementation of signal processing systems [DSP Forum]
2008
IEEE Signal Processing Magazine
A third example is the picoChip PC205, which is based on an array of 248 VLIW processor cores that is integrated along with an ARM 926EJ-S microprocessor for control functions. ...
Bier: My thought too-and it is interesting how FPGAs are increasingly being used as compute engines in SPintensive applications. ...
doi:10.1109/msp.2008.929838
fatcat:e5wcu4p5gzcavhybpykrti3hwy
Embedded System Hardware
[chapter]
2021
Embedded Systems
AbstractIn this chapter, we will present the interface between the physical environment and information processing (the cyphy-interface) together with the hardware required for processing, storing, and ...
How are FPGAs configured? Are FPGAs energy-efficient? Which kind of applications are FPGAs good for?
3.12 What is the key idea of VLIW processors? ...
Embedded memory may be more expensive to fabricate than separate memory chips, since the fabrication processes for memories and processors must be compatible. ...
doi:10.1007/978-3-030-60910-8_3
fatcat:fqsp2laanfhp5le2d5q3pft2cu
Computer vision algorithms on reconfigurable logic arrays
1999
IEEE Transactions on Parallel and Distributed Systems
Ratha Computer vision algorithms are natural candidates for high performance computing due to their inherent parallelism and intense computational demands. For ...
Computer Vision Algorithms on Reconfigurable Logic Arrays By Nalini K. ...
The need for realtime processing is also very important in medical image analysis applications such as vision-guided non-invasive surgery. ...
doi:10.1109/71.744833
fatcat:htpcqypklnghvfdedyl7dneyhu
Final Statements
[chapter]
2009
FPGA-Based Implementation of Signal Processing Systems
The authors would like to thank Richard Walke and John Gray for motivating a lot of the work at Queen's University Belfast on FPGA. ...
Imagine Processor The Imagine chip is a parallel architecture which comprises 48 floating-point ALUs and a special memory hierarchy, optimized for stream-based programs . ...
The streaming programming model is ideal for image processing applications which exhibit high levels of data streaming, due to the need to pass around image data which is typically large. ...
doi:10.1002/9780470713785.ch14
fatcat:b5uyg6k2qbhnncscazm2ickxki
Applications and Techniques for Fast Machine Learning in Science
[article]
2021
arXiv
pre-print
The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for ...
training and implementing performant and resource-efficient ML algorithms; and computing architectures, platforms, and technologies for deploying these algorithms. ...
For example, YOLOv3-tiny [207] , an object detection model commonly used for medical imaging, can process images at over 200 FPS on a standard dataset with producing reasonable accuracy. ...
arXiv:2110.13041v1
fatcat:cvbo2hmfgfcuxi7abezypw2qrm
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