The Intel D80C287A-12 is a high-performance, low-power CMOS numeric coprocessor designed to enhance the floating-point arithmetic capabilities of Intel's 80286 microprocessor. It operates at a clock frequency of 12 MHz.
Applications:
- Scientific Computing: Accelerates complex calculations in scientific and engineering applications.
- CAD/CAM Systems: Improves performance in computer-aided design and manufacturing software.
- Financial Modeling: Enhances the speed of financial analysis and simulations.
- Graphics Processing: Accelerates graphics rendering and image processing tasks.
- Data Analysis: Improves the performance of statistical analysis and data mining applications.
Features:
- IEEE 754 Compliance: Adheres to the IEEE 754 standard for floating-point arithmetic.
- 80-bit Internal Architecture: Provides high precision for floating-point calculations.
- Transcendental Functions: Supports trigonometric, exponential, and logarithmic functions.
- Optimized for 80286: Designed to work seamlessly with the Intel 80286 microprocessor.
- Low Power Consumption: CMOS technology minimizes power requirements.
- 12 MHz Clock Frequency: Operates at a clock frequency of 12 MHz.
Benefits:
- Enhanced Performance: Significantly accelerates floating-point calculations, improving overall system performance.
- Increased Precision: 80-bit internal architecture provides greater accuracy in calculations.
- Simplified Software Development: Reduces the complexity of writing floating-point code.
- Compatibility: Works seamlessly with existing 80286-based systems.
Additional Details:
The D80C287A-12 is housed in a 68-pin PLCC (Plastic Leaded Chip Carrier) package. It is a CMOS version of the original 80287 math coprocessor, offering reduced power consumption. The coprocessor operates in parallel with the 80286 CPU, handling floating-point instructions while the CPU executes other tasks. It supports a wide range of floating-point data types, including single-precision, double-precision, and extended-precision formats. The D80C287A-12 significantly improves the performance of applications that rely heavily on floating-point arithmetic, making it an essential component for systems used in scientific, engineering, and financial applications during its time.