Essays about: "ASIC design"
Showing result 11 - 15 of 73 essays containing the words ASIC design.
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11. Modularity, Scalability, Reusability, Configurability, and Interoperability of ASIC/FPGA Verification IP
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The complexity of chip design has been exponentially rising, resulting in increased complexity and costs in chip verification. This rise in complexity results in increased time to market and increases risks of chip in fabrication, that can be catastrophic and result in major losses. READ MORE
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12. Investigating Machine Learning for verification of AMBA APB protocol.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE
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13. High-Performance Beamforming for Radar Technology : A Comparative Study of GPU Beamforming Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Radar technology is widely used in today´s society, whether it is the localisation and identification of aircraft in air traffic control systems, ships in harbour management systems, or the weather forecast presented on the news. In military applications, such as in fighter jets or missile lock-on systems, the speed at which the radar processes incoming data is essential to ensure a successful outcome. READ MORE
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14. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : General propose processor (GPP) are demanded high performance in dataintensive applications, such as deep learning, high performance computation (HPC), where algorithm kernels like GEMM (general matrix-matrix multiply) and SPMV (sparse matrix-vector multiply) kernels are intensively used. The performance of these data-intensive applications are bounded with memory bandwidth, which is limited by computing & memory access coupling and memory wall effect. READ MORE
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15. Mapping quantized convolutional layers on the SiLago platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. READ MORE