Summary The increased effects of routing on FPGA path timing requires EDA tools that completely understand the physical properties of the target device and can analyze designs during the placement ...

The only proven way to get this timing correlation is to perform detailed placement and routing during logic optimization and also to have access to FPGA-specific routing information (routing graph ...

This makes prior FPGA approaches impractical for large graphs. We propose ACTS, an HBM-enabled FPGA graph accelerator, to address this problem. Rather than partitioning the graph offline to improve ...

A Graph-Based Approach to Physical Synthesis Synplicity’s new graph-based physical synthesis technology, featured in the Synplify Premier software, creates a detailed routing resource graph of ...

As detailed here, Plunify's new InTime software harnesses big data analytics to solve FPGA timing and optimization problems through machine learning -- without modifying code.

Synplicity has released more details of its ‘graph-based’ physical synthesis tool for FPGAs, which it claims will improve timing closure and will yield faster implementations in large, complex designs ...

FPGA Placement and Optimization Techniques Publication Trend The graph below shows the total number of publications each year in FPGA Placement and Optimization Techniques.

“We are excited to further strengthen our partner ecosystem with this collaboration with SiTime to demonstrate the precision timing capabilities of the Lattice FPGA solutions.

Graph-Based Physical Synthesis Key to Addressing Timing Closure In order to fully address timing closure, designers must have highly accurate timing correlation between what a tool estimates and the ...

At the heart of Synplify Premier, Synplicity's graph-based physical-synthesis technology takes advantage of the tool's ability to perform placement and routing simultaneously with all iterations ...