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FPGA architects typically use experimental techniques to design new architectures. These techniques are time consuming, thus limiting the number of the architectures that can be investigated. Some previous works use analytical models to significantly accelerate the design of a new architecture. To properly capitalize on the benefits of the analytical models, the designers need to have an understanding...
In recent years, object detection has been more frequently integrated with other vision processing functions, acting for acquisition of region of interest and is widely adopted in portable devices such as digital camera capable for automatic focusing on faces. In applications targeting those devices, limitations in both hardware resources and power supply mean an efficient utilization of hardware...
Trusted computing is gaining an increasing acceptance in the industry and finding its way to cloud computing. With this penetration, the question arises whether the concept of hard-wired security modules will cope with the increasing sophistication and security requirements of future IT systems and the ever expanding threats and violations. So far, embedding cryptographic hardware engines into the...
Many stand-alone, FPGA-based accelerators separate the implementation of a computation into two components — (1) a large parallel component that is realized as hardware on spatial FPGA fabric and (2) a small control and co-ordination component that is realized as software on embedded soft-core processors like an off-the-shelf Xilinx Microblaze (or host offchip CPU). While this hardware-software partitioning...
Reconfigurable computers have started to appear in the HPC landscape, albeit at a slow pace. Adoption is still being hindered by the design methodologies and slow implementation cycles. Recently, methodologies based on High Level Synthesis (HLS) have begun to flourish and the reconfigurable supercomputing community is slowly adopting these techniques. In this paper we took a geophysics application...
Quantum-dot Cellular Automata (QCA) is a nano-scale compute fabric being explored by the VLSI research community as the difficulties in shrinking CMOS transistors mount. The paradigm promises high device densities and power-efficiency, and has unique properties that make it an interesting candidate for programmable devices. In this work, we propose a specialized architecture for programmable devices...
Artificial Neural Networks (ANN) have proven to be effective in solving various emerging biomedical applications through specialized ANN hardware. Unfortunately, these ANN-based biomedical systems are increasingly vulnerable to both transient and permanent faults, potentially imposing serious threats to human well-being. Inspired by the self-healing and self-recovery mechanisms of the human nervous...
Trusted computing is gaining an increasing acceptance in the industry and finding its way to cloud computing. With this penetration, the question arises whether the concept of hard-wired security modules will cope with the increasing sophistication and security requirements of future IT systems and the ever expanding threats and violations. So far, embedding cryptographic hardware engines into the...
Adaptive systems have the ability to respond to environmental conditions, by modifying their processing at runtime. While this is easy to do software systems, modern algorithms can be computationally expensive, requiring powerful processors. At the same time hardware is not as flexible. Field programmable gate arrays (FPGAs) are recognised as being suitable for adaptive systems implementation, due...
Connect6 is a new generation k-in-a-row game, which has drawn great interest not only from game enthusiasts, but also from researchers, due to its characteristics such as fairness and high state-space complexity. In this paper we describe the design and implementation of an FPGA-based Connect6 player that can compete against other computer-based opponents, communicating through a serial interface...
Least Squares Support Vector Machines(LS-SVM), which is an efficient supervised learning tool, has been widely applied to real-time on-line data processing in many fields. However, the on-line training of LS-SVM always suffers from huge computation which greatly limits its practicability especially in embedded systems. By leveraging the flexibility and high degree parallelism offered by reconfigurable...
Over the past decades, we noticed huge advances in FPGA technologies. The topic of floating-point accelerator on FPGA has gained renewed interests due to the increased device size and the emergence of fast hardware floating-point library. The popularity of FFT makes it easier to justify spending lots of effort doing detailed optimization. However, the ever increasing data size in some compelling application...
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