Intel® Quartus® Prime Pro Edition User Guide: Design Compilation

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Date 9/26/2022
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Document Table of Contents
Document Table of Contents x
1. Answers to Top FAQs 2. Design Compilation 3. Reducing Compilation Time 4. Intel® Quartus® Prime Pro Edition User Guide Design Compilation Archives A. Intel® Quartus® Prime Pro Edition User Guides
2. Design Compilation x
2.1. Compilation Overview 2.2. Using the Compilation Dashboard 2.3. Design Netlist Infrastructure (Beta) 2.4. Design Synthesis 2.5. Design Place and Route 2.6. Incremental Optimization Flow 2.7. Fast Forward Compilation Flow 2.8. Full Compilation Flow 2.9. Exporting Compilation Results 2.10. Integrating Other EDA Tools 2.11. Synthesis Language Support 2.12. Compiler Optimization Techniques 2.13. Synthesis Settings Reference 2.14. Fitter Settings Reference 2.15. Design Compilation Revision History
2.1. Compilation Overview x
2.1.1. Compilation Flows 2.1.2. Compilation Hierarchy 2.1.3. Compilation Monitoring
2.3. Design Netlist Infrastructure (Beta) x
2.3.1. Exploring the RTL Analyzer (Beta) 2.3.2. Early Timing Analysis (Beta) 2.3.3. DNI Use Case Examples
2.3.1. Exploring the RTL Analyzer (Beta) x
2.3.1.1. Sweep Hints Viewer 2.3.1.2. Connectivity Tracer 2.3.1.3. Object Set Console 2.3.1.4. Module Interfaces 2.3.1.5. Bundled Instances 2.3.1.6. Auto-hide Unconnected Pins
2.3.2. Early Timing Analysis (Beta) x
2.3.2.1. Synopsys* Design Constraint (SDC) on RTL 2.3.2.2. Post-Synthesis Static Timing Analysis (STA) 2.3.2.3. Types of SDC Files Used in the Intel® Quartus® Prime Software
2.3.2.1. Synopsys* Design Constraint (SDC) on RTL x
2.3.2.1.1. Registering the SDC-on-RTL SDC File 2.3.2.1.2. Applying the SDC-on-RTL Constraints 2.3.2.1.3. Inspecting SDC-on-RTL Constraints 2.3.2.1.4. Creating Constraints in SDC-on-RTL SDC Files
2.3.3. DNI Use Case Examples x
2.3.3.1. Scripting Routine Tasks Using DNI Tcl Commands 2.3.3.2. Traversing the DNI Netlist Using Tcl Commands
2.4. Design Synthesis x
2.4.1. Running Synthesis 2.4.2. Viewing Synthesis Reports 2.4.3. Viewing Synthesis Dynamic Report
2.4.1. Running Synthesis x
2.4.1.1. Preserving Registers During Synthesis 2.4.1.2. Preserving Signals for Monitoring and Debugging
2.5. Design Place and Route x
2.5.1. Running the Fitter 2.5.2. Viewing Fitter Reports
2.5.1. Running the Fitter x
2.5.1.1. Fitter Commands 2.5.1.2. Disabling or Enabling Physical Synthesis Optimization
2.5.2. Viewing Fitter Reports x
2.5.2.1. Plan Stage Reports 2.5.2.2. Place Stage Reports 2.5.2.3. Route Stage Reports 2.5.2.4. Retime Stage Reports 2.5.2.5. Finalize Stage Reports
2.5.2.2. Place Stage Reports x
2.5.2.2.1. Global Signal Visualization Report
2.5.2.3. Route Stage Reports x
2.5.2.3.1. Global Router Congestion Hotspot Summary Report 2.5.2.3.2. Global Router Wire Utilization Map Report
2.6. Incremental Optimization Flow x
2.6.1. Concurrent Analysis During Synthesis or Fitting 2.6.2. Analyzing Compiler Snapshots 2.6.3. Validating Periphery (I/O) after the Plan Stage
2.6.2. Analyzing Compiler Snapshots x
2.6.2.1. Running Snapshot Viewer
2.6.2.1. Running Snapshot Viewer x
2.6.2.1.1. Analyzing Failing Paths with Snapshot Viewer 2.6.2.1.2. Analyzing Clocking with Snapshot Viewer 2.6.2.1.3. Analyzing High Fan-out Nets with Snapshot Viewer 2.6.2.1.4. Validating Timing Constraints with Snapshot Viewer 2.6.2.1.5. Analyzing Congestion with Snapshot Viewer
2.7. Fast Forward Compilation Flow x
2.7.1. Step 1: Run Register Retiming 2.7.2. Step 2: Review Retiming Results 2.7.3. Step 3: Run Fast Forward Compile 2.7.4. Step 4: Review Fast Forward Results 2.7.5. Step 5: Implement Fast Forward Recommendations 2.7.6. Retiming Restrictions and Workarounds
2.7.2. Step 2: Review Retiming Results x
2.7.2.1. Locate Critical Chains
2.7.3. Step 3: Run Fast Forward Compile x
2.7.3.1. Fast Forward Compile By Hierarchy 2.7.3.2. HyperFlex Settings
2.7.4. Step 4: Review Fast Forward Results x
2.7.4.1. Clock Fmax Summary Report 2.7.4.2. Fast Forward Details Report
2.8. Full Compilation Flow x
2.8.1. Full Compilation Flow with Temporary Optimization Mode
2.9. Exporting Compilation Results x
2.9.1. Exporting a Version-Compatible Compilation Database 2.9.2. Importing a Version-Compatible Compilation Database 2.9.3. Creating a Design Partition 2.9.4. Exporting a Design Partition 2.9.5. Reusing a Design Partition 2.9.6. Viewing Quartus Database File Information 2.9.7. Clearing Compilation Results
2.9.6. Viewing Quartus Database File Information x
2.9.6.1. QDB File Attribute Types
2.10. Integrating Other EDA Tools x
2.10.1. Generating a VQM Netlist for other EDA Tools
2.11. Synthesis Language Support x
2.11.1. Verilog and SystemVerilog Synthesis Support 2.11.2. VHDL Synthesis Support
2.11.1. Verilog and SystemVerilog Synthesis Support x
2.11.1.1. Verilog HDL Input Settings (Settings Dialog Box) 2.11.1.2. Design Libraries 2.11.1.3. Verilog HDL Configuration 2.11.1.4. Initial Constructs and Memory System Tasks 2.11.1.5. Verilog HDL Macros
2.11.1.3. Verilog HDL Configuration x
2.11.1.3.1. Hierarchical Design Configurations
2.11.2. VHDL Synthesis Support x
2.11.2.1. VHDL Input Settings (Settings Dialog Box) 2.11.2.2. VHDL Standard Libraries and Packages 2.11.2.3. VHDL wait Constructs 2.11.2.4. VHDL-2019 Conditional Analysis Tool Directives
2.12. Compiler Optimization Techniques x
2.12.1. Compiler Optimization Modes 2.12.2. Allow Register Retiming 2.12.3. Automatic Gated Clock Conversion 2.12.4. Enable Intermediate Fitter Snapshots 2.12.5. Fast Preserve Option 2.12.6. Fractal Synthesis Optimization Project-Wide Fractal Synthesis Considerations Multiplier Regularization and Retiming Multiplier Regularization Example Continuous Arithmetic Packing
2.12.6. Fractal Synthesis Optimization x
Project-Wide Fractal Synthesis Considerations Multiplier Regularization and Retiming Multiplier Regularization Example Continuous Arithmetic Packing 2.12.6.1. Enabling or Disabling Fractal Synthesis
2.13. Synthesis Settings Reference x
2.13.1. Advanced Synthesis Settings
3. Reducing Compilation Time x
3.1. Factors Affecting Compilation Results 3.2. Strategies to Reduce the Overall Compilation Time 3.3. Reducing Synthesis Time and Synthesis Netlist Optimization Time 3.4. Reducing Placement Time 3.5. Reducing Routing Time 3.6. Reducing Static Timing Analysis Time 3.7. Setting Process Priority 3.8. Reducing Compilation Time Revision History
3.2. Strategies to Reduce the Overall Compilation Time x
3.2.1. Running the ECO Compilation Flow 3.2.2. Enabling Multi-Processor Compilation 3.2.3. Using Block-Based Compilation
3.3. Reducing Synthesis Time and Synthesis Netlist Optimization Time x
3.3.1. Settings to Reduce Synthesis Time and Synthesis Netlist Optimization Time 3.3.2. Use Appropriate Coding Style to Reduce Synthesis Time
3.4. Reducing Placement Time x
3.4.1. Placement Effort Multiplier Settings
3.5. Reducing Routing Time x
3.5.1. Identifying Routing Congestion with the Chip Planner
3.5.1. Identifying Routing Congestion with the Chip Planner x
3.5.1.1. Areas with Routing Congestion 3.5.1.2. Congestion due to HDL Coding style
1. Answers to Top FAQs
2. Design Compilation
3. Reducing Compilation Time
4. Intel® Quartus® Prime Pro Edition User Guide Design Compilation Archives
A. Intel® Quartus® Prime Pro Edition User Guides

2.12.6. Fractal Synthesis Optimization

Fractal synthesis optimizations can be useful for deep-learning accelerators and other high-throughput, arithmetic-intensive designs that exceed all available DSP resources. For such designs, fractal synthesis optimization can achieve 20-45% area reduction.

Fractal synthesis is a set of synthesis optimizations that use FPGA resources in an optimal way for arithmetic-intensive designs. These synthesis optimizations consist of multiplier regularization and retiming, as well as continuous arithmetic packing. The optimizations target designs with large numbers of low-precision arithmetic operations (such as additions and multiplications). You can enable fractal synthesis globally or for specific multipliers, as Enabling or Disabling Fractal Synthesis describes.

Project-Wide Fractal Synthesis Considerations

Note: Fractal synthesis optimization is most suitable for designs with deep-learning accelerators or other high-throughput, arithmetic-intensive functions that exceed all DSP resources. Enabling fractal synthesis project-wide can cause unnecessary bloat on modules that are not suitable for fractal optimizations. Consider the following factors before enabling fractal synthesis optimization project wide:
  • Intel FPGA devices contain thousands of hard DSP blocks that are perfectly suited for arithmetic operations. If the total amount of arithmetic functions in your design is small, then there is no need to enable Fractal Synthesis. In such cases, all the arithmetic functions map directly into DSPs by default. Enable global Fractal Synthesis only if there are not enough DSP blocks available to implement all arithmetic components. Enable Fractal Synthesis only for modules that you do not want the Compiler to map into DSPs.
  • In the current version of the Intel® Quartus® Prime Pro Edition software, fractal synthesis optimizations target low-precision multiplication. Implement high-precision multipliers (where width of every operand exceeds 11 bits) using DSP blocks.
  • If you enable project-wide Fractal Synthesis, the following information message number 20193 may generate during compilation:
    Applied dense packing to "<entity>". Area: 2 LABs. Logic density: 0.775.

    This information indicates the effort the Compiler is packing computational logic into a smaller number of LABs. If the design is already highly utilized, the Compiler can skip this stage.

    • Verify that the Area the message reports does not exceed 100 LABs. If the Area exceeds 100 LABs, divide fractal synthesis blocks to sub-blocks, and then assign the fractal synthesis optimizations to the sub-blocks independently.
    • Verify that the Logic density the message reports is greater than 0.75. If the logic density is less than 0.75, disable Fractal Synthesis for this entity because standard synthesis typically achieves better density.
Table 34.  Fractal Synthesis Area Improvement
    Area (LABs)
Device Dot-product Fractal Synthesis ON Fractal Synthesis OFF
Intel® Arria® 10 and Intel® Cyclone® 10 GX Sum of 16 4x4sm 12 19
Sum of 16 5x5sm 19 32
Sum of 16 6x6sm 25 36
Sum of 16 7x7sm 34 44
Sum of 16 8x8sm 45 60
Intel® Stratix® 10 and Intel® Agilex™ Devices Sum of 16 4x4sm 15 22
Sum of 16 5x5sm 21 39
Sum of 16 6x6sm 29 47
Sum of 16 7x7sm 39 55
Sum of 16 8x8sm 55 71

Multiplier Regularization and Retiming

Multiplier regularization and retiming performs inference of highly optimized soft multiplier implementations. The Compiler may apply backward retiming to two or more pipeline stages if required. When you enable fractal synthesis, the Compiler applies multiplier regularization and retiming to signed and unsigned multipliers.

Figure 99. Multiplier Retiming
Note:
  • Multiplier regularization uses only logic resources, and does not use DSP blocks.
  • Multiplier regularization and retiming is applied to both signed and unsigned multipliers in modules where the FRACTAL_SYNTHESIS QSF assignment is set.

Multiplier Regularization Example

The following simple, unsigned dot-product design example contains multiplication operators with 5-bit operands. These short multipliers are perfect candidates for multiplier regularization. 

(* altera_attribute = "-name FRACTAL_SYNTHESIS ON" *)
module dot_product(
   input clk,
   input [4:0] a, b, c, d, e, f, g, h,
   output reg [11:0] out
);
reg [9:0] ab, cd, ef, gh;
reg [10:0] ab_cd, ef_gh;

always @(posedge clk)
begin
	ab <= a * b;
	cd <= c * d;
	ef <= e * f;
	gh <= g * h;
	ab_cd <= ab + cd;
	ef_gh <= ef + gh;
	out <= ab_cd + ef_gh;
end
endmodule

module top(
   input clk,
   input [4:0] a1, b1, c1, d1, e1, f1, g1, h1,
   input [4:0] a2, b2, c2, d2, e2, f2, g2, h2,
   output [11:0] out1, out2
);
dot_product core1(.clk(clk), .a(a1), .b(b1), .c(c1), .d(d1), 
    .e(e1), .f(f1), .g(g1), .h(h1), .out(out1));
dot_product core2(.clk(clk), .a(a2), .b(b2), .c(c2), .d(d2), 
	.e(e2), .f(f2), .g(g2), .h(h2), .out(out2));
endmodule

Intel® Quartus® Prime synthesis prints the following messages to the console:

Figure 100. Console Messages

In the Chip Planner, you can observe this design having two unsigned dot-product cores. These cores are independently optimized and placed. The LAB resources are nearly 100% optimized, as the following image shows:

Figure 101. Design Placement

Signed dot-products are common for deep-learning applications. The following demonstrates an example of a signed dot-product: 

(* altera_attribute = "-name FRACTAL_SYNTHESIS ON" *)
module dot_product(
   input signed clk,
   input signed [4:0] a, b, c, d, e, f, g, h,
   output reg signed [11:0] out
);
reg signed [9:0] ab, cd, ef, gh;
reg signed [10:0] ab_cd, ef_gh;

always @(posedge clk)
begin
	ab <= a * b;
	cd <= c * d;
	ef <= e * f;
	gh <= g * h;
	ab_cd <= ab + cd;
	ef_gh <= ef + gh;
	out <= ab_cd + ef_gh;
end
endmodule

module top(
   input clk,
   input signed [4:0] a1, b1, c1, d1, e1, f1, g1, h1,
   input signed [4:0] a2, b2, c2, d2, e2, f2, g2, h2,
   output signed [11:0] out1, out2
);
dot_product core1(.clk(clk), .a(a1), .b(b1), .c(c1), .d(d1), 
    .e(e1), .f(f1), .g(g1), .h(h1), .out(out1));
dot_product core2(.clk(clk), .a(a2), .b(b2), .c(c2), .d(d2), 
	.e(e2), .f(f2), .g(g2), .h(h2), .out(out2));
endmodule

Intel® Quartus® Prime synthesis displays the following messages in the console:

Figure 102. Console Messages

In the Chip Planner, you can observe this design having two signed dot-product cores independently optimized and placed:

Figure 103. Design Placement

Continuous Arithmetic Packing

Continuous arithmetic packing re-synthesizes arithmetic gates into logic blocks optimally sized to fit into Intel® FPGA LABs. This optimization allows up to 100% utilization of LAB resources for the arithmetic blocks.

When you enable fractal synthesis, the Compiler applies this optimization to all carry chains and two-input logic gates. This optimization can pack adder trees, multipliers, and any other arithmetic-related logic.

Figure 104. Continuous Arithmetic Packing

Note that continuous arithmetic packing works independently of multiplier regularization. So, if you are using a multiplier that is not regularized (such as writing your own multiplier) then continuous arithmetic packing can still operate.


Section Content
Enabling or Disabling Fractal Synthesis

Level Two Title