InTime is a machine learning software that optimizes FPGA timing and performance using analytics and computing power.
FPGA Softwares such as Vivado, Quartus and ISE provide massive optimization benefits with the right settings and techniques. InTime has built-in intelligence to identify these optimized strategies for synthesis and place-and-route. It actively learns from results to improve over time, extracting more than 20% increase in design performance from the FPGA softwares.
Yes we mean it. Get better results without modifying your design RTL or constraints. InTime has built-in intelligence to analyze your FPGA builds. It determines optimized strategies for synthesis and place-and-route, and explores placement techniques.
Let InTime decide. InTime learns from your previous build results and improves them based on device, design and tool characteristics. The more builds InTime does, the higher the likelihood of a better result becomes.
With machine learning, InTime gets smarter every time it runs. And you can build your own internal machine learning database easily and conveniently.
Seed sweep is a technique to get additional performance from placement changes. Beyond just seed sweeps, InTime uses compilation settings and placement optimizations to achieve better timing and area performance for your design. To understand why this is better, check out our whitepaper comparing timing performance of these methods.
InTime assimilates the computers you want into one big grid, distributing builds and collecting results across machines automatically. It works well with resource management software like LSF or SGE. You can run InTime on-premise in your company’s data center or in the cloud such as AWS and Tencent. Read more about running InTime in the cloud or use our turnkey optimization service – InTime Service
Plunify is a partner of Xilinx and Intel PSG. FPGA tools such as Quartus Prime, Vivado, and ISE, provide massive optimization benefits with the right settings and techniques. Every result that you get in InTime is derived from these tools. You can also export any InTime result back to the FPGA tools to verify its accuracy.