Allicdata Part #: | ICE5LP2K-UWG20ITR-ND |
Manufacturer Part#: |
ICE5LP2K-UWG20ITR |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Lattice Semiconductor Corporation |
Short Description: | IC FPGA 12 I/O 20WLCSP |
More Detail: | N/A |
DataSheet: | ICE5LP2K-UWG20ITR Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Series: | iCE40 Ultra™ |
Part Status: | Obsolete |
Number of LABs/CLBs: | 256 |
Number of Logic Elements/Cells: | 2048 |
Total RAM Bits: | 81920 |
Number of I/O: | 12 |
Voltage - Supply: | 1.14 V ~ 1.26 V |
Mounting Type: | Surface Mount |
Operating Temperature: | -40°C ~ 100°C (TJ) |
Package / Case: | 20-UFBGA, WLCSP |
Supplier Device Package: | 20-WLCSP (1.71x2.06) |
Base Part Number: | ICE5LP2K |
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Introduction to Field Programmable Gate Array or FPGA
Field Programmable Gate Array (FPGA) is a type of integrated circuit that can be programmed by users to perform specific applications. FPGAs have been used for many applications, from control systems to communications, from digital signal processing to logic circuits. FPGAs are used in many industries for various applications such as medical, industrial, consumer, military, aerospace and automotive among many others. FPGAs are easy to use and offer a high degree of flexibility and scalability than other integrated circuit development solutions, making them an attractive option for embedded system applications.
ICE5LP2K-UWG20ITR Application Field and Working Principle
The ICE5LP2K-UWG20ITR is a deep learning FPGA reference design platform from NXP (formerly Freescale Semiconductor). This platform is equipped with an FPGA and three ARM Cortex CPUs ideal for deep learning and algorithm acceleration applications. This platform is designed for a wide range of applications, including autonomous vehicles, medical imaging, UAVs, intelligent robotics, and more. It also provides high-performance AI acceleration that reduces and compresses the amount of data needed to train and deploy deep learning AI models.
The ICE5LP2K-UWG20ITR platform is powered by embedded FPGAs with up to 10 Gbps bandwidth and 1-8 GB of DDR4 RAM. This platform is also capable of PCI Express (PCIe) and USB connectivity. In addition, the platform allows rapid system prototyping, with a low-power consumption design supporting a variety of use cases and applications. The FPGA itself can be used for either logic design or firmware development due to its compatibility with various Verilog, VHDL and C/C++ programming languages.
The ICE5LP2K-UWG20ITR reference design uses what is called a configurable In-Package Reprogrammable Logic (CIPRL) to allow users to customize the functionality of their systems. This configurable FPGA contains predefined functions, allowing users to easily configure personalized solutions tailored to their application requirements. Furthermore, CIPRL also allows users to run parallel multiple calculations, giving them an ability to leverage compute cores and other logic blocks for intense system-level integration.
The ICE5LP2K-UWG20ITR also contains several power saving features. First, it has a smarter system-on-chip (SoC) architecture which optimizes the power consumption so that each of the FPGA cores can individually power down when not being used. Second, a low-power PowerDown mode can be configured to reduce power consumption while saving changes made to the FPGA. Finally, an advanced power management system allows the user to tune and manage the power consumption in real-time.
In conclusion, the ICE5LP2K-UWG20ITR platform offers scalability and flexibility, making it an ideal choice for embedded system applications. FPGAs are used in many industries for various applications, and the ICE5LP2K-UWG20ITR platform takes advantage of the same power and flexibility that is found in other FPGAs. Flexible and powerful, the ICE5LP2K-UWG20ITR reference design will help bring products to the market faster, reducing product development time, and enabling cost-effective solutions for a wide range of applications.
The specific data is subject to PDF, and the above content is for reference
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