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2022-09-24 14:42:51
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XC6VLX195T-1FF784C_XC6VLX240T-2FFG1759I Introduction
Excellent performance and excellent specifications let consumers once again call out: AMD YES!. First of all, AMD officially announced the new Zen 3 CPU architecture and brought the latest generation of Ryzen 5000 series desktop processors. Today, there is a lot of breaking news about AMD.
Lowering the temperature also increases the reliability of the chip exponentially. Junction temperature can be reduced with cooling schemes such as heat sinks and airflow. Studies have shown that a 20°C reduction in temperature can increase the overall life of the chip by a factor of 10. A 5% reduction in supply voltage can reduce power consumption by 10%. Lowering the temperature by 20°C can reduce leakage power consumption by more than 25%. By changing the power supply configuration, it is easy to adjust the supply voltage. Voltage and temperature control As shown in Figure 1, reducing both voltage and temperature can significantly reduce leakage current. Current FPGAs do not support wide-range voltage scaling, and the recommended voltage range is typically ±5%.
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Among the four products, the flagship processor is the Ryzen 9 5950X, which is the same as the Ryzen 9 3950X, with dual CCD modules, 16 cores and 32 threads, 8MB L2 cache, and 64MB L3 cache, of which the L3 cache is from four 16MB blocks. It has become two pieces of 32MB, which are shared by 8 cores respectively. The maximum acceleration frequency has increased from 4.7GHz to 4.9GHz, and the base frequency is 3.4GHz.
The dynamic power problem is solved with low-capacitance circuits and custom modules. The power consumption of the multipliers in the DSP block is less than 20% of the power consumption of the multipliers built in the FPGA fabric. Given the wide range of leakage current distributions that can result from manufacturing variations, low leakage current devices can be screened to effectively provide devices with core leakage power consumption below 60%. To reduce static power dissipation, longer-channel and higher-threshold transistors are also used across the board. A variety of power-driven design techniques are used in the design of FPGAs. Taking the Xilinx Virtex series as an example, because the configuration memory cells can occupy 1/3 of the number of transistors in the FPGA, a low leakage current "midox" transistor is used in this series to reduce the leakage current of the memory cells.
Since AMD launched the Ryzen 4000 series notebook platform APU processors at CES in January this year, in order to facilitate consumers to identify and search, the Zen 3 architecture processor series was directly named the 5000 series. A total of 4 CPUs were released this time, namely Ryzen9 5950X, Ryzen9 5900X, Ryzen7 5800X and Ryzen5 5600X.
. Softnautics chose Xilinx technology to implement this solution because it integrates both the Vitis™ AI stack and powerful hardware capabilities. Today, Xilinx's rich and powerful platform supports 70% of new developments, leading the way in FPGA-based system design.
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However, CvMat is more abstract, and its element data types are not limited to basic data types, but can be any predefined data types, such as RGB or other multi-channel data. In openCV, the CvMat and IplImage types are more focused on "images", especially with a certain degree of optimization for image operations in them. OpenCV does not have a data structure for vectors, but when we want to represent vectors, we need to represent them with matrix data.
While the CvMat and IplImage types are more focused on "images", OpenCV is optimized for image operations (scaling, single-channel extraction, image thresholding, etc.) The common data containers related to image operations in OpenCV are Mat, CvMat and IplImage. These three types can represent and display images. However, the Mat type focuses on calculation and is highly mathematical.
