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1.1. Using Provided HDL Templates
1.2. Instantiating IP Cores in HDL
1.3. Inferring Multipliers and DSP Functions
1.4. Inferring Memory Functions from HDL Code
1.5. Register and Latch Coding Guidelines
1.6. General Coding Guidelines
1.7. Designing with Low-Level Primitives
1.8. Cross-Module Referencing (XMR) in HDL Code
1.9. Using force Statements in HDL Code
1.10. Recommended HDL Coding Styles Revision History
1.4.1.1. Use Synchronous Memory Blocks
1.4.1.2. Avoid Unsupported Reset and Control Conditions
1.4.1.3. Check Read-During-Write Behavior
1.4.1.4. Controlling RAM Inference and Implementation
1.4.1.5. Single-Clock Synchronous RAM with Old Data Read-During-Write Behavior
1.4.1.6. Single-Clock Synchronous RAM with New Data Read-During-Write Behavior
1.4.1.7. Simple Dual-Port, Dual-Clock Synchronous RAM
1.4.1.8. True Dual-Port Synchronous RAM
1.4.1.9. Mixed-Width Dual-Port RAM
1.4.1.10. RAM with Byte-Enable Signals
1.4.1.11. Specifying Initial Memory Contents at Power-Up
1.6.6.1. If Performance is Important, Optimize for Speed
1.6.6.2. Use Separate CRC Blocks Instead of Cascaded Stages
1.6.6.3. Use Separate CRC Blocks Instead of Allowing Blocks to Merge
1.6.6.4. Take Advantage of Latency if Available
1.6.6.5. Save Power by Disabling CRC Blocks When Not in Use
1.6.6.6. Initialize the Device with the Synchronous Load (sload) Signal
3.4.1. Apply Complete System-Centric Timing Constraints for the Timing Analyzer
3.4.2. Force the Identification of Synchronization Registers
3.4.3. Set the Synchronizer Data Toggle Rate
3.4.4. Optimize Metastability During Fitting
3.4.5. Increase the Length of Synchronizers to Protect and Optimize
3.4.6. Increase the Number of Stages Used in Synchronizers
3.4.7. Select a Faster Speed Grade Device
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2.2.5. Optimizing Power Consumption
The total FPGA power consumption is comprised of I/O power, core static power, and core dynamic power. Knowledge of the relationship between these components is fundamental in calculating the overall total power consumption.
You can use various optimization techniques and tools to minimize power consumption when applied during FPGA design implementation. The Intel® Quartus® Prime software offers power-driven compilation features to fully optimize device power consumption. Power-driven compilation focuses on reducing your design’s total power consumption using power-driven synthesis and power-driven placement and routing.
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