XA Spartan-3E_XC6VLX240T-3FFG1759C Introduction

Power Estimation Power estimation is a critical step in low-power design. As shown in Figure 1, certain external factors have an exponential effect on power consumption; small changes in the environment can cause significant changes in estimated power consumption. Using power estimation tools can be difficult to achieve accurately, but can still provide excellent guidance for power optimization by identifying high-power modules. While the most accurate way to determine FPGA power consumption is through hardware measurements, power consumption estimates help identify high-power blocks and can be used to develop power budgets early in the design phase.

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. Excellent performance and excellent specifications let consumers once again call out: AMD YES!.

XA Spartan-3E_XC6VLX240T-3FFG1759C

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If AMD reaches an acquisition agreement with Xilinx, the value of semiconductor M&A transactions in 2020 may also rise to $93.1 billion, making it the third largest merger and acquisition year in the history of the semiconductor industry. In fact, 2020 was supposed to be a sluggish year for mergers and acquisitions in the semiconductor market, affected by the new crown epidemic and Sino-US relations. These two transactions have made the global semiconductor landscape go through a new round of mergers and acquisitions and reshuffles. According to the report data released by IC Insights, a third-party analysis agency on September 29, the total value of global semiconductor mergers and acquisitions soared to US$63.1 billion in the first nine months of 2020, of which the two transactions of Nvidia-Arm and ADI-Maxim accounted for about 97% of total M&A in 2020. In the first quarter of this year, the value of semiconductor M&A transactions was $1.8 billion, and it only reached $165 million in the second quarter. However, in the third quarter, the demand for the semiconductor market has recovered significantly, and the cost expenditure has increased, and a new wave of mergers and acquisitions has emerged.

Among them, the Ryzen 9 5900X processor has been praised by AMD as "the best gaming CPU in the world" - this title has always been in the hands of Intel. The brand new architecture, the strongest game processor should come, and so on, the party has not waited in vain. Compared with the i5-10600K, the Ryzen 5 5600X is 19% higher in single thread, 20% higher in multi-threading, and 13% higher in 1080p gaming performance. Compared with the i7-10700K, the Ryzen 7 5800X is 9% higher in single thread, 11% higher in multi-thread, and the 1080p game performance is the same. Judging from the official comparison data, the new generation of Ryzen 5000 series processors is much stronger than the tenth-generation products of competitors: Ryzen 9 5900X is 13% higher than i9-10900K in single thread and 23% higher in multi-thread. %, 3% better gaming performance at 1080p.

The total dynamic power consumption of an FPGA is the combined power consumption from charging all capacitive nodes. Components of Power Consumption The power consumption of an FPGA consists of two components: dynamic power and static power. These capacitive nodes can be internal logic blocks, routing wires in an interconnect fabric, external package pins, or board-level traces driven by chip outputs. Dynamic power dissipation occurs when the signal charges the capacitive node.

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.

XA Spartan-3E_XC6VLX240T-3FFG1759C

XC5VLX85T-1FF1136C

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XA Spartan-3E_XC6VLX240T-3FFG1759C

The need to reduce the cost of chips, reduce the risk of shooting, and shorten the time to market will further erupt. Against competitors like Intel and NVIDIA, you should focus on Xilinx's core competency, which is at the hardware level, it can be flexible and adaptable according to different workloads and forces, rather than traditional domain and competition. As current chip manufacturing processes become more complex and chip designs become more complex, initial costs for chip design manufacturers have skyrocketed, and the risks of tape have further increased. As a larger competitor, Altera has joined Intel in 2015, and Xilinx's new competitors have become Intel, NVIDIA and others. This is equivalent to the successful promotion of Xilinx, and will have higher competition with companies such as Intel and Nvidia.

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. OpenCV does not have a data structure for vectors, but when we want to represent vectors, we need to represent them with matrix 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.