Achieving FPGA Design Performance Quickly
Joe Mallett, Synopsys
EETimes (2/8/2017 11:20 AM EST)
This column highlights the broad steps designers need to complete as they close timing and how tool automation helps to simplify the process.
Today's engineering teams are tasked with delivering FPGA-based products under incredible schedule constraints to market windows. Closing timing constraints is still a challenge for many designers. FPGA design tools are a necessity to help define and apply the correct constraints to a design to quickly close timing and complete the project. This blog highlights the broad steps designers need to complete as they close timing and how tool automation helps to simplify the process.
- Design setup
- Initial timing constraint setup
- Constraints tuning
When starting a new project, designers need to setup the environment and import the IP for the design, which may come from multiple sources. FPGA design tools help automate this process for designers, making it easier and faster while also helping to remove import errors from the process. In addition to the IP import, the tools should automate the constraint import for a given block. These constraints will be shown in the FPGA Design Constraints (FDC) files within the tools, showing the correct syntax for things like clocks, I/O, and clock groups.
To read the full article, click here
Related Semiconductor IP
- NPU IP
- JPEG XL Encoder
- I2C Master/Slave Controller Core
- NVMe Validation Test Suite
- Hybrid Memory Cube Verification IP
Related Articles
- Achieving FPGA Design Performance Quickly
- Achieving multicore performance in a single core SoC design using a multi-threaded virtual multiprocessor: Part 2
- Achieving higher performance in a multicore-based packet processing engine design
- A Method to Quickly Assess the Analog Front-End Performance in Communication SoCs
Latest Articles
- Terracotta: Enabling the Adoption of New DRAM Techniques via a Flexible DRAM Interface and Memory Controller
- A Framework for Accelerating Transformer Inference on RISC-V for Edge AI
- An Interleaved Parallel Dependent Quantization Hardware Architecture for H.266/VVC
- A Formal Security Analysis of CAN XL
- A Secure dToF LiDAR SoC with Dual-Domain Fingerprinting and Event-Driven AFE Circuit Achieving Sensor-Level Attack Resilience