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Advantages and Limitations of Fully on-Chip CNN FPGA-Based Hardware Accelerator
International Symposium on Circuits and Systems, 2020Convolution Neural Networks are a class of deep neural networks commonly used in audio and video elaborations. Their implementation on the edge represents a complex task due to the limited computational power and low power consumption requirement that ...
Gianmarco Dinelli +3 more
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An Optimized FPGA-Based Hardware Accelerator for Physics-Based EKF for Battery Cell Management
International Symposium on Circuits and Systems, 2020Battery technology is the cornerstone of HEVs. Model Predictive Control coupled with physics-based model (PBM) is an effective technique for battery management systems (BMS).
Anne K. Madsen +2 more
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CoNNa-Hardware accelerator for compressed convolutional neural networks
Microprocessors and microsystems, 2020In this paper, we propose a novel Convolutional Neural Network hardware accelerator called CoNNA, capable of accelerating pruned, quantized CNNs. In contrast to most existing solutions, CoNNA offers a complete solution to the compressed CNN acceleration,
R. Struharik +3 more
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Hardware Accelerated Wavelet Transformations
2000Wavelets and related multiscale representations are important means for edge detection and processing as well as for segmentation and registration. Due to the computational complexity of these approaches no interactive visualization of the extraction process is possible nowadays.
Matthias Hopf, Thomas Ertl
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Domain-specific hardware accelerators
Communications of the ACM, 2020DSAs gain efficiency from specialization and performance from parallelism.
Dally, William +2 more
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Computer-Aided Engineering Journal, 1989
At Brunei University, a small research team has been developing special-purpose hardware and algorithms that will greatly reduce the run times of CAD tasks currently run on conventional von Neumann computers. This article gives an example to illustrate the benefits that can be obtained by the use of hardware accelerators, indicating also how these ...
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At Brunei University, a small research team has been developing special-purpose hardware and algorithms that will greatly reduce the run times of CAD tasks currently run on conventional von Neumann computers. This article gives an example to illustrate the benefits that can be obtained by the use of hardware accelerators, indicating also how these ...
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Hardware accelerated application integration
Proceedings of the Second International Workshop on Active Middleware on Modern Hardware, 2017In this talk we set the emerging domain of application integration into the context of recent hardware advances.
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ACM Transactions on Embedded Computing Systems, 2011
Inexpensive, reliable hard disk storage is increasingly required in both businesses and the home. As disk capacities increase and multiple drives are combined in one system the probability of multiple disk failures increases. Through the adoption of RAID 6 the capability to recover from up to two simultaneous disk failures becomes available.
Gilroy, Michael +2 more
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Inexpensive, reliable hard disk storage is increasingly required in both businesses and the home. As disk capacities increase and multiple drives are combined in one system the probability of multiple disk failures increases. Through the adoption of RAID 6 the capability to recover from up to two simultaneous disk failures becomes available.
Gilroy, Michael +2 more
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An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs
IEEE Symposium on Field-Programmable Custom Computing Machines, 2019Deep convolutional neural networks (CNN) have achieved remarkable performance with the cost of huge computation. As the CNN model becomes more complex and deeper, compressing CNN to sparse by pruning the redundant connection in networks has emerged as an
Liqiang Lu +5 more
semanticscholar +1 more source
Hardware Accelerator for BLAST
2012 IEEE 6th International Symposium on Embedded Multicore SoCs, 2012The basic local alignment search tool (BLAST) is one of the most popular sequence alignment tools available. Sequence alignment is used to extract similar parts of an input protein (or DNA) sequence from protein (or DNA) databases, in order to investigate biological evolution and genomic genealogy.
Shizuka Ishikawa +2 more
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