Trimsignal provides a proprietary hardware IP core that dynamically adjusts clock frequencies based on real‑time path‑delay measurements, enabling higher maximum operating speeds and better performance‑per‑watt for ASICs, FPGAs, and HPC accelerators. The drop‑in solution integrates with standard design toolchains, offers timing‑fault detection to improve yield, and requires minimal changes to existing RTL, making it suitable for data‑center, edge, and embedded hardware designs.
Funding
Funding not disclosed
Founders
Product
Problem
Designers of ASICs, FPGAs, and high‑performance computing accelerators face timing variability and manufacturing‑related faults that limit clock speeds, increase power consumption, and reduce yield and reliability.
Solution
Trimsignal offers a proprietary hardware logic layer that dynamically adjusts clock frequencies based on real‑time path‑delay measurements. By exploiting intrinsic variability in silicon, the technology boosts maximum operating frequency while maintaining timing closure, leading to higher performance per watt. The solution integrates with existing design flows and can be embedded in ASIC, FPGA, or edge‑computing architectures without redesigning the core logic. It also mitigates timing faults that arise during fabrication, improving production yield and extending product lifetime. Customers receive a turnkey IP core and accompanying design‑tool plugins that automate clock‑optimization and validation.
Target Audience
Primary customers are semiconductor design houses, FPGA vendors, and hardware teams building high‑performance or low‑power accelerators for data‑center, edge, and embedded applications.
Features
- Dynamic frequency boosting IP core that monitors path delays and adjusts clock rates on‑the‑fly
- Compatibility with standard ASIC, FPGA, and SoC design toolchains (e.g., Synopsys, Cadence, Xilinx)
- Built‑in timing‑fault detection and correction to improve manufacturing yield
- Energy‑efficiency optimization through performance‑per‑watt scaling
- Minimal impact on existing RTL; drop‑in integration with configurable parameters
- Support for cloud and edge‑computing accelerator designs with high‑throughput requirements