Short answer
Integrate physical design considerations, such as floorplanning, directly into the HLS compilation flow to unlock higher operating frequencies and improve the routability of complex FPGA designs.
- Field
- Modelling
- Source
- ACM Transactions on Reconfigurable Technology and Systems (2023)
- Method
- Framework Development and Experimental Evaluation
- Sample
- 43 designs
- Evidence
- Strong effect
Integrating High-Level Synthesis (HLS) with coarse-grained floorplanning during the design of FPGA accelerators can significantly improve operating frequency without compromising throughput or resource utilization. This modelling research insight is drawn from a 2023 study published in ACM Transactions on Reconfigurable Technology and Systems. Using Framework development and experimental evaluation with 43 designs, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate physical design considerations, such as floorplanning, directly into the HLS compilation flow to unlock higher operating frequencies and improve the routability of complex FPGA designs.
FPGA Accelerator Frequency Doubled via Co-optimized HLS and Floorplanning
Integrating High-Level Synthesis (HLS) with coarse-grained floorplanning during the design of FPGA accelerators can significantly improve operating frequency without compromising throughput or resource utilization.
ACM Transactions on Reconfigurable Technology and Systems · 2023
Key Findings
- 01Average frequency improved from 147 MHz to 297 MHz (102% increase).
- 02No loss of throughput observed.
- 03Negligible change in resource utilization.
- 0416 previously unroutable designs became routable, achieving an average frequency of 274 MHz.
Application
Design takeaway
Integrate physical design considerations, such as floorplanning, directly into the HLS compilation flow to unlock higher operating frequencies and improve the routability of complex FPGA designs.
How to apply
When designing custom hardware accelerators on FPGAs, explore or develop tools that allow for concurrent optimization of the logic synthesis (HLS) and the physical placement and routing (floorplanning) stages.
Project actions
- 01When simulating or prototyping FPGA designs, consider how the physical layout might impact performance, not just the code logic.
- 02Investigate tools that offer integrated High-Level Synthesis (HLS) and physical design optimization.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Demonstrates significant performance improvement.
- +Addresses a critical bottleneck in FPGA design flow.
- +Provides an open-source framework for practical application.
Limitations
The complexity of setting up and using advanced FPGA design frameworks like TAPA can be a barrier. The specific performance gains may be highly dependent on the target FPGA device and the nature of the application.
Reliability & validity
The study's validity is supported by a large number of experimental designs (43) and the achievement of significant performance gains. Reliability is enhanced by the provision of an open-source framework, allowing for potential replication and verification.
Think critically
To what extent can the gains observed in this research be generalized to FPGAs with different architectures or to designs with significantly different dataflow patterns?
Design Principles
"Co-optimize algorithmic and physical design aspects for maximum performance in hardware acceleration."
This research demonstrates a novel approach to optimizing FPGA designs by addressing both the algorithmic and physical layout aspects concurrently. For designers working with complex embedded systems or specialized hardware acceleration, this integrated methodology offers a pathway to achieve higher performance targets that might be unattainable with traditional, sequential design flows.
What This Means for Your Design
Using a special tool that thinks about both the code and how it fits on the chip at the same time can make FPGAs run much faster.
How to use in your project
- 1.Reference this study when discussing the optimization of hardware designs, particularly in the context of FPGAs and embedded systems, to justify performance improvements achieved through integrated design methodologies.
Add to My Project
Quick Cite
Paragraph starter
The TAPA framework demonstrates that co-optimizing High-Level Synthesis (HLS) with physical design, specifically through coarse-grained floorplanning, can lead to substantial improvements in FPGA accelerator performance. This integrated approach resulted in a doubling of operating frequency (from 147 MHz to 297 MHz) in experimental designs without sacrificing throughput or significantly altering resource usage, highlighting the benefits of addressing algorithmic and physical layout concurrently.
Source
ACM Transactions on Reconfigurable Technology and Systems
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design
journal · 2023
View sourceQuestions About This Research
- What does the research say about fpga accelerator frequency doubled via co-optimized hls and floorplanning?
- Integrate physical design considerations, such as floorplanning, directly into the HLS compilation flow to unlock higher operating frequencies and improve the routability of complex FPGA designs. Evidence: ACM Transactions on Reconfigurable Technology and Systems (2023).
- Why does "FPGA Accelerator Frequency Doubled via Co-optimized HLS and Floorplanning" matter for design?
- This research demonstrates a novel approach to optimizing FPGA designs by addressing both the algorithmic and physical layout aspects concurrently. For designers working with complex embedded systems or specialized hardware acceleration, this integrated methodology offers a pathway to achieve higher performance targets that might be unattainable with traditional, sequential design flows.
- How can designers apply this research?
- Integrate physical design considerations, such as floorplanning, directly into the HLS compilation flow to unlock higher operating frequencies and improve the routability of complex FPGA designs.
- What were the main findings?
- Average frequency improved from 147 MHz to 297 MHz (102% increase).. No loss of throughput observed.. Negligible change in resource utilization.. 16 previously unroutable designs became routable, achieving an average frequency of 274 MHz.
- What research method was used?
- Framework Development and Experimental Evaluation with 43 designs.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from ACM Transactions on Reconfigurable Technology and Systems.
- What should I do differently in my next project?
- When designing custom hardware accelerators on FPGAs, explore or develop tools that allow for concurrent optimization of the logic synthesis (HLS) and the physical placement and routing (floorplanning) stages.
- What are the limitations?
- The framework's effectiveness might vary depending on the specific FPGA architecture and the complexity of the task-parallel dataflow program. The availability and integration of the AutoBridge module for floorplanning are critical.