Intel® High Level Synthesis Compiler Pro Edition: Best Practices Guide

Download PDF
ID 683152
Date 1/23/2025
Public

Visible to Intel only — GUID: tly1593102577241

Ixiasoft

View Details

Document Table of Contents
Document Table of Contents x
1. Discontinuation of the Intel® HLS Compiler 2. Intel® HLS Compiler Pro Edition Best Practices Guide 3. Best Practices for Coding and Compiling Your Component 4. FPGA Concepts 5. Interface Best Practices 6. Loop Best Practices 7. fMAX Bottleneck Best Practices 8. Memory Architecture Best Practices 9. System of Tasks Best Practices 10. Datatype Best Practices 11. Advanced Troubleshooting A. Intel® HLS Compiler Pro Edition Best Practices Guide Archives B. Document Revision History for Intel® HLS Compiler Pro Edition Best Practices Guide
4. FPGA Concepts x
4.1. FPGA Architecture Overview 4.2. Concepts of FPGA Hardware Design 4.3. Methods of Hardware Design
4.1. FPGA Architecture Overview x
4.1.1. Adaptive Logic Module (ALM) 4.1.2. Digital Signal Processing (DSP) Block 4.1.3. Random-Access Memory (RAM) Blocks
4.1.1. Adaptive Logic Module (ALM) x
4.1.1.1. Lookup Table (LUT) 4.1.1.2. Register
4.2. Concepts of FPGA Hardware Design x
4.2.1. Maximum Frequency (fMAX) 4.2.2. Latency 4.2.3. Pipelining 4.2.4. Throughput 4.2.5. Datapath 4.2.6. Control Path 4.2.7. Occupancy
4.3. Methods of Hardware Design x
4.3.1. How Source Code Becomes a Custom Hardware Datapath 4.3.2. Scheduling 4.3.3. Mapping Parallelism Models to FPGA Hardware 4.3.4. Memory Types
4.3.1. How Source Code Becomes a Custom Hardware Datapath x
4.3.1.1. Mapping Source Code Instructions to Hardware 4.3.1.2. Mapping Arrays and Their Accesses to Hardware
4.3.2. Scheduling x
4.3.2.1. Dynamic Scheduling 4.3.2.2. Clustering the Datapath 4.3.2.3. Handshaking Between Clusters
4.3.3. Mapping Parallelism Models to FPGA Hardware x
4.3.3.1. Data Parallelism 4.3.3.2. Task Parallelism
4.3.3.1. Data Parallelism x
4.3.3.1.1. Executing Independent Operations Simultaneously 4.3.3.1.2. Pipelining
4.3.3.1.2. Pipelining x
4.3.3.1.2.1. Pipelining Loops Within A Component 4.3.3.1.2.2. Pipelining Across Component Invocations
4.3.4. Memory Types x
4.3.4.1. Component Memory 4.3.4.2. External Memory
5. Interface Best Practices x
5.1. Choose the Right Interface for Your Component 5.2. Control LSUs For Your Variable-Latency MM Host Interfaces 5.3. Avoid Pointer Aliasing
5.1. Choose the Right Interface for Your Component x
5.1.1. Pointer Interfaces 5.1.2. Avalon® Memory Mapped Host Interfaces 5.1.3. Avalon® Memory Mapped Agent Memories 5.1.4. Avalon® Memory Mapped Agent Registers 5.1.5. Avalon® Streaming Interfaces 5.1.6. Pass-by-Value Interface
6. Loop Best Practices x
6.1. Reuse Hardware By Calling It In a Loop 6.2. Parallelize Loops 6.3. Construct Well-Formed Loops 6.4. Minimize Loop-Carried Dependencies 6.5. Avoid Complex Loop-Exit Conditions 6.6. Convert Nested Loops into a Single Loop 6.7. Place if-Statements in the Lowest Possible Scope in a Loop Nest 6.8. Declare Variables in the Deepest Scope Possible 6.9. Raise Loop II to Increase fMAX 6.10. Control Loop Interleaving
6.2. Parallelize Loops x
6.2.1. Pipeline Loops 6.2.2. Unroll Loops 6.2.3. Example: Loop Pipelining and Unrolling
7. fMAX Bottleneck Best Practices x
7.1. Balancing Target fMAX and Target II
8. Memory Architecture Best Practices x
8.1. Example: Overriding a Coalesced Memory Architecture 8.2. Example: Overriding a Banked Memory Architecture 8.3. Merge Memories to Reduce Area 8.4. Example: Specifying Bank-Selection Bits for Local Memory Addresses
8.3. Merge Memories to Reduce Area x
8.3.1. Example: Merging Memories Depth-Wise 8.3.2. Example: Merging Memories Width-Wise
9. System of Tasks Best Practices x
9.1. Executing Multiple Loops in Parallel 9.2. Sharing an Expensive Compute Block 9.3. Implementing a Hierarchical Design 9.4. Balancing Capacity in a System of Tasks
9.4. Balancing Capacity in a System of Tasks x
9.4.1. Enable the Intel® HLS Compiler to Infer Data Path Buffer Capacity Requirements 9.4.2. Explicitly Add Buffer Capacity to Your Design When Needed
10. Datatype Best Practices x
10.1. Avoid Implicit Data Type Conversions 10.2. Avoid Negative Bit Shifts When Using the ac_int Datatype
11. Advanced Troubleshooting x
11.1. Component Fails Only In Simulation 11.2. Component Gets Poor Quality of Results
1. Discontinuation of the Intel® HLS Compiler
2. Intel® HLS Compiler Pro Edition Best Practices Guide
3. Best Practices for Coding and Compiling Your Component
4. FPGA Concepts
5. Interface Best Practices
6. Loop Best Practices
7. fMAX Bottleneck Best Practices
8. Memory Architecture Best Practices
9. System of Tasks Best Practices
10. Datatype Best Practices
11. Advanced Troubleshooting
A. Intel® HLS Compiler Pro Edition Best Practices Guide Archives
B. Document Revision History for Intel® HLS Compiler Pro Edition Best Practices Guide

4.3.3.2. Task Parallelism

The compiler achieves concurrency by scheduling independent individual operations to execute simultaneously, but it does not achieve concurrency at coarser granularities (for example, across loops).

For larger code structures to execute in parallel with each other, you must write them as separate components or tasks that launch simultaneously. These components or tasks then run independently, and synchronize and communicate using pipes or streams, as shown in the following figure:

Figure 21. Multiple Task Functions Running Asynchronously


For details, see Systems of Tasks in the Intel® High Level Synthesis Compiler Pro Edition Reference Manual .

Level Two Title