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MC68882EI20A
+BOMIC FLOATING-POINT CO-PROC 68PLCC
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Nhà sản xuấtNXP Hoa Kỳ Inc.
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Ông. Phần #MC68882EI20A
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Bảng dữ liệu MC68882EI20A DataSheet
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Gói PLCC-68
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Thông số kỹ thuật
| thuộc tính | Giá trị |
| Package | Tube |
| ProductStatus | Obsolete |
| Type | Floating-Point Co-Processor |
| MountingType | Surface Mount |
| Package/Case | 68-LCC (J-Lead) |
Tổng quan
Description
Operating at a clock speed of 20 MHz, the MC68882EI20A provides accelerated computation of complex arithmetic operations, such as addition, subtraction, multiplication, division, and transcendental functions. It supports a variety of data formats, including single, double, and extended precision, adhering to the IEEE 754 standard for floating-point arithmetic.
The MC68882EI20A is typically used in applications requiring intensive mathematical computations, such as computer-aided design (CAD), simulation, and scientific calculations. It interfaces with the host CPU via a bus, offloading complex mathematical tasks to enhance overall system performance. Compatible with the Motorola 68000 series microprocessors, the MC68882 coprocessor seamlessly integrates into existing systems, providing a significant boost in computational power.
Features
1. Compatibility: Seamless integration with 68020/68030 CPUs, improving processing efficiency.
2. Speed: Operates with a clock speed of 20 MHz, allowing for quick computation tasks.
3. Precision: Supports IEEE 754 floating-point standard, ensuring accurate calculations.
4. Instructions: Capable of executing a wide range of floating-point instructions, including trigonometric and logarithmic functions.
5. Architecture: Utilizes an internal microcoded architecture for optimization of mathematical operations.
6. Reduced CPU Load: Offloads complex mathematical calculations from the main CPU, freeing it for other tasks.
7. Power Management: Features efficient power consumption, suitable for battery-powered and embedded systems.
Overall, the MC68882EI20A significantly boosts the performance of systems by providing rapid and reliable floating-point data handling.
Pinout
Pin Count:
The MC68882 typically comes in a 68-pin package, often a PGA (Pin Grid Array) or a PLCC (Plastic Leaded Chip Carrier).
Function:
The primary function of the MC68882 is to perform high-speed arithmetic operations, specifically floating-point calculations. It supports single-precision, double-precision, and extended-precision arithmetic as defined by the IEEE 754 standard. The coprocessor offloads complex mathematical computations from the main CPU, thereby boosting overall system performance in applications that require heavy mathematical processing, such as scientific computing, graphics, and simulations.
The MC68882 can handle arithmetic functions like addition, subtraction, multiplication, division, and square root, as well as transcendental functions such as trigonometric and logarithmic calculations. Its enhanced architecture allows it to execute instructions faster and more efficiently than the earlier 68881 model.
Manufacturer
In 2004, Motorola's semiconductor business was spun off to form a separate company called Freescale Semiconductor, which continued to manufacture and develop semiconductor products. Freescale was later acquired by NXP Semiconductors in 2015. NXP is a global semiconductor company known for providing a wide range of products, including those used in automotive, industrial, and consumer applications. Therefore, while the MC68882EI20A was initially manufactured by Motorola, the legacy of its semiconductor business now continues under NXP Semiconductors.
Application
1. Embedded Control Systems: Utilized in industrial automation, robotics, and process control for precise calculations.
2. Telecommunications: Supports high-speed data processing and signal analysis.
3. Aerospace and Defense: Used in avionics for navigation, simulation, and real-time computations.
4. Graphics and Imaging: Facilitates complex calculations in rendering and image processing tasks.
5. Scientific Computing: Enhances performance for numerical simulations and complex data analyses.