Allicdata Part #: | A1020B-PL84I-ND |
Manufacturer Part#: |
A1020B-PL84I |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Microsemi Corporation |
Short Description: | IC FPGA 69 I/O 84PLCC |
More Detail: | N/A |
DataSheet: | A1020B-PL84I Datasheet/PDF |
Quantity: | 1000 |
Specifications
Series: | ACT™ 1 |
Part Status: | Obsolete |
Number of LABs/CLBs: | 547 |
Number of I/O: | 69 |
Number of Gates: | 2000 |
Voltage - Supply: | 4.5 V ~ 5.5 V |
Mounting Type: | Surface Mount |
Operating Temperature: | -40°C ~ 85°C (TA) |
Package / Case: | 84-LCC (J-Lead) |
Supplier Device Package: | 84-PLCC (29.31x29.31) |
Base Part Number: | A1020 |
Description
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/* A1020B-PL84I application field and working principle Field Programmable Gate Array (FPGA) is an integrated circuit (IC) which contains programmable logic components. FPGA can be configured to perform a variety of logic functions and it is available in market as ready-made integrated circuit packages. FPGA can be used for a variety of applications; from low power processors to high speed memory accesses.The A1020B-PL84I field programmable gate array (FPGA) is an integrated circuit for a variety of applications including secure storage, high-speed communications, and machine learning. It offers a number of advantages over other FPGAs, such as its low power consumption, large memory capacity, and high speed performance. FPGAs provide a programmable logic architecture that can be adapted to different application fields, in this case, the A1020B-PL84I FPGA. It has the ability to operate on low power and with high reliability. Its large memory capacity enables it to store large amounts of data, making it ideal for complex applications such as machine learning. Its high speed performance allows for rapid processing of complex instructions and data.The A1020B-PL84I FPGA can be used in a variety of application fields. In communications, it is used to implement secure storage, high-speed communications, and machine learning. It can be used in healthcare applications such as medical imaging, where its large memory capacity and high speed enable fast image acquisition, processing, and analysis. In consumer electronics, the A1020B-PL84I FPGA is well-suited for use in virtual reality applications due to its large memory capacity and fast processing time. It can also be used in visually embedded devices such as drones. In automotive applications, the A1020B-PL84I FPGA offers low power consumption and high reliability, making it ideal for use in safety-critical embedded systems such as advanced driver assistance systems (ADAS) and vehicle navigation systems. It can also be used in powertrain controls and in cameras for autonomous vehicles. The A1020B-PL84I FPGA has a variety of features that make it especially well-suited for a range of applications. It operates on low power and with high reliability, as well as providing high speed performance and large memory capacity. It is also highly configurable, enabling users to customize their FPGA applications to meet the requirements of their tasks.The working principle of an FPGA is similar to that of a microprocessor. A programmable logic array (PLA) is used to configure gates and flip flops, which can be programmed to perform specific operations. The design is written in a hardware description language such as Verilog or VHDL and loaded onto the FPGA using a configuration device.The A1020B-PL84I is a versatile and powerful FPGA that is well-suited for a number of different applications. Its low power consumption and high reliability make it useful for a variety of embedded and automotive applications. Its large memory capacity and high speed performance make it ideal for use in a variety of machine learning and healthcare applications. Its configurability enables users to customize their FPGA applications for their specific needs.With the A1020B-PL84I FPGA, users can benefit from a combination of features that make it suitable for a range of applications. Its low power consumption, large memory capacity, and high speed performance make it an ideal choice for embedded and automotive applications, as well as healthcare and machine learning applications.
The specific data is subject to PDF, and the above content is for reference
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