Intel® Cyclone® 10 LP Core Fabric and General Purpose I/Os Handbook
ID
683777
Date
2/15/2023
Public
1. Logic Elements and Logic Array Blocks in Intel® Cyclone® 10 LP Devices
2. Embedded Memory Blocks in Intel® Cyclone® 10 LP Devices
3. Embedded Multipliers in Intel® Cyclone® 10 LP Devices
4. Clock Networks and PLLs in Intel® Cyclone® 10 LP Devices
5. I/O and High Speed I/O in Intel® Cyclone® 10 LP Devices
6. Configuration and Remote System Upgrades
7. SEU Mitigation in Intel® Cyclone® 10 LP Devices
8. JTAG Boundary-Scan Testing for Intel® Cyclone® 10 LP Devices
9. Power Management in Intel® Cyclone® 10 LP Devices
2.1. Embedded Memory Capacity
2.2. Intel® Cyclone® 10 LP Embedded Memory General Features
2.3. Intel® Cyclone® 10 LP Embedded Memory Operation Modes
2.4. Intel® Cyclone® 10 LP Embedded Memory Clock Modes
2.5. Intel® Cyclone® 10 LP Embedded Memory Configurations
2.6. Intel® Cyclone® 10 LP Embedded Memory Design Consideration
2.7. Embedded Memory Blocks in Intel® Cyclone® 10 LP Devices Revision History
4.2.1. PLL Features
4.2.2. PLL Architecture
4.2.3. External Clock Outputs
4.2.4. Clock Feedback Modes
4.2.5. Clock Multiplication and Division
4.2.6. Post-Scale Counter Cascading
4.2.7. Programmable Duty Cycle
4.2.8. PLL Control Signals
4.2.9. Clock Switchover
4.2.10. Programmable Bandwidth
4.2.11. Programmable Phase Shift
4.2.12. PLL Cascading
4.2.13. PLL Reconfiguration
4.2.14. Spread-Spectrum Clocking
5.1. Intel® Cyclone® 10 LP I/O Standards Support
5.2. I/O Resources in Intel® Cyclone® 10 LP Devices
5.3. Intel FPGA I/O IP Cores for Intel® Cyclone® 10 LP Devices
5.4. Intel® Cyclone® 10 LP I/O Elements
5.5. Intel® Cyclone® 10 LP Clock Pins Input Support
5.6. Programmable IOE Features in Intel® Cyclone® 10 LP Devices
5.7. I/O Standards Termination
5.8. Intel® Cyclone® 10 LP High-Speed Differential I/Os and SERDES
5.9. Using the I/Os and High Speed I/Os in Intel® Cyclone® 10 LP Devices
5.10. I/O and High Speed I/O in Intel® Cyclone® 10 LP Devices Revision History
5.8.2.1. LVDS I/O Standard in Intel® Cyclone® 10 LP Devices
5.8.2.2. Bus LVDS I/O Standard in Intel® Cyclone® 10 LP Devices
5.8.2.3. RSDS, Mini-LVDS, and PPDS I/O Standard in Intel® Cyclone® 10 LP Devices
5.8.2.4. LVPECL I/O Standard in Intel® Cyclone® 10 LP Devices
5.8.2.5. Differential SSTL I/O Standard in Intel® Cyclone® 10 LP Devices
5.8.2.6. Differential HSTL I/O Standard in Intel® Cyclone® 10 LP Devices
5.9.1. Guideline: Validate Your Pin Placement
5.9.2. Guideline: Check for Illegal Pad Placements
5.9.3. Guideline: Voltage-Referenced I/O Standards Restriction
5.9.4. Guideline: Simultaneous Usage of Multiple I/O Standards
5.9.5. Guideline: LVTTL or LVCMOS Inputs in Intel® Cyclone® 10 LP Devices
5.9.6. Guideline: Differential Pad Placement
5.9.7. Guideline: Board Design for Signal Quality
6.1.4.1. Configuring Intel® Cyclone® 10 LP Devices with the JRunner Software Driver
6.1.4.2. Configuring Intel® Cyclone® 10 LP Devices with Jam STAPL
6.1.4.3. JTAG Single-Device Configuration
6.1.4.4. JTAG Multi-Device Configuration
6.1.4.5. Combining JTAG and AS Configuration Schemes
6.1.4.6. Programming Serial Configuration Devices In-System with the JTAG Interface
6.1.4.7. JTAG Instructions
3.1. Embedded Multiplier Block Overview
Each embedded multiplier block in Intel® Cyclone® 10 LP devices supports one individual 18 × 18-bit multiplier or two individual 9 × 9-bit multipliers.
For multiplications greater than 18 x 18, the Intel® Quartus® Prime software cascades the multiplier blocks to form wider or deeper logic structures. There are no restrictions on the data width of the multiplier but the greater the data width, the slower the multiplication process.
You can control the operation of the embedded multiplier blocks using the following options:
- Parameterize the relevant IP cores with the Quartus Prime parameter editor
- Infer the multipliers directly with VHDL or Verilog HDL
Figure 33. Embedded Multipliers Arranged in Columns with Adjacent LABS
Additionally, you can implement soft multipliers by using the M9K memory blocks as look-up tables (LUTs). The LUTs contain partial results from the multiplication of input data with coefficients that implements variable depth and width high-performance soft multipliers. Using soft multipliers increases the number of available multipliers in the device.