Plunify

Plunify

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Plunify uses computing and machine learning to speed up FPGA chip design. Get More Performance, Bett Check us out at
http://www.plunify.com

Plunify makes software that optimizes IC chip designs, using statistical and machine learning methods, making it easier and faster for FPGA and ASIC engineers to increase performance in fewer number of iterations. From a company's perspective, Plunify's technology helps shorten time-to-market and reduce development costs. Our solutions are available via both desktop client software and a web-based

Vivado Floorplanning Case Study – Here’s what works, and doesn’t. - Plunify Blog & Support 28/11/2024

tldr version- Vivado default floorplan had bad timing.- Customer ran implementation directives and created their own floorplans, but was unable to meet the timing target.- We improved customer's floorplan by generating new intra-SLR floorplans.- Finally met the timing target using our floorplan and implementation directives....

Vivado Floorplanning Case Study – Here’s what works, and doesn’t. - Plunify Blog & Support tldr version- Vivado default floorplan had bad timing.- Customer ran implementation directives and created their own floorplans, but was unable to meet the timing target.- We improved customer's floorplan by generating new intra-SLR floorplans.- Finally met the timing target using our floorplan and....

Can FPGA compilation failures be predicted? - Plunify Blog & Support 29/05/2023

AI generated Image: Lost in Endless Compilations In FPGA design, the success or failure of compilation plays a crucial role in determining the efficiency and effectiveness of the overall design process. Traditionally, designers had to invest significant time and resources into running compilations, often spanning several days, only to find out that they failed due to various reasons. However, with the advent of Machine Learning (ML) models, a revolutionary predictive capability has emerged that can forecast whether an FPGA compilation is likely to succeed or fail....

Can FPGA compilation failures be predicted? - Plunify Blog & Support In FPGA design, the success or failure of compilation plays a crucial role in determining the efficiency and effectiveness of the overall design process. Traditionally, designers had to invest significant time and resources into running compilations, often spanning several days, only to find out tha...

Floorplanning with InTime 2022 - Plunify Blog & Support 29/09/2022

Following 2 tumultous years, we are glad to officially announce our post-Covid release - InTime 2022. One of the top features that is included with InTime 2022 is *drum roll*- Automated Floorplanning! Floorplanning can be said to be the last bastion of FPGA design automation. It is one of those problems where the solution can be classified either as an art or science....

Floorplanning with InTime 2022 - Plunify Blog & Support This new whitepaper introduces the Machine-Learning-based approach implemented in InTime toolset to identify the root causes of the placement or the routing failures, mitigating them through adjustment of the user constraints, and setting the various options making the design placement and routing f...

22/12/2021

Best wishes for the holidays, and for health and happiness throughout the coming year!

Whitepaper: ML-Based Approach to Tackle Severe FPGA Placement and Routing Failures - Plunify Blog & Support 05/10/2021

Placement and routing failures during the FPGA backend flow are frequent with many FPGA designs especially when these involve multiple physical constraints. This new whitepaper introduces the Machine-Learning-based approach implemented in InTime toolset to transform these failures to a less complex problem of timing convergence. InTime identifies the root causes of the placement or the routing failures, mitigating them through adjustment of the user constraints, and setting the various options making the design placement and routing friendly....

Whitepaper: ML-Based Approach to Tackle Severe FPGA Placement and Routing Failures - Plunify Blog & Support This new whitepaper introduces the Machine-Learning-based approach implemented in InTime toolset to identify the root causes of the placement or the routing failures, mitigating them through adjustment of the user constraints, and setting the various options making the design placement and routing f...

Top rated Thirteen Totally free Adult Conversation Websites - Plunify Blog & Support 25/08/2021

FreeChatNow offers a handfull of very popular adult themed bedrooms. The chat software program run on FCN is effectively made and have packed, they will even ban unruly talkers connecting by means of VPNs, which will raise the normal of discussion itself. Nevertheless , there is a great deal room for the purpose of enchancment when ever considering the general look and look of the conversation....

Top rated Thirteen Totally free Adult Conversation Websites - Plunify Blog & Support FreeChatNow offers a handfull of very popular adult themed bedrooms. The chat software program run on FCN is effectively made and have packed, they will even ban unruly talkers connecting by means of VPNs, which will raise the normal of discussion itself. Nevertheless , there is a great deal room fo...

Hello world - Plunify Blog & Support 25/08/2021

Welcome to wiki This is your first post. Edit or delete it, then start blogging!

Hello world - Plunify Blog & Support Welcome to wiki This is your first post. Edit or delete it, then start blogging!

How InTime v3.2 Tackles Over-fitting FPGA designs? - Plunify Blog & Support 03/06/2021

Tired of seeing over-fitting error messages like these? Error (170011): Design contains 873586 blocks of type combinational node. However, the device contains only 854400 blocks. Error (170048): Selected device has 2713 RAM location(s) of type M20K block. However, the current design needs more than 2713 to successfully fit Error (170012): Fitter requires 52617 LABs to implement the design, but the device contains only 42720 LABs…...

How InTime v3.2 Tackles Over-fitting FPGA designs? - Plunify Blog & Support How to generate successful results for Quartus designs that are over-fitting from insufficient RAM or LABs with the latest InTime.

Achieving up to 50% timing improvement in Libero with InTime - Plunify Blog & Support 19/04/2021

The newest addition to the InTime family is the Libero tool which supports Microchip FPGA devices. It was first included in late 2020; since then we have been honing and "sharpening the knives", improving the QoR which includes support for the latest Libero v12.6 release. With the latest InTime release, performance improvements for Libero designs can be greater than 50%. The graph below shows the level of improvements for different device families....

Achieving up to 50% timing improvement in Libero with InTime - Plunify Blog & Support New features for Libero and higher performance.

Top 5 InTime Features in 2020 - Plunify Blog & Support 09/12/2020

As we bid farewell to 2020, here are 5 highly-rated InTime features added during a very eventful year. Auto Pilot - Automated recipes selection Project-specific AI database Support for Microchip FPGAs and Libero Training Data Filter - precision control of Machine Learning data New Analysis Charts - SLR Crossings, Fanout & Logic Levels Charts 1. Auto Pilot - Automated Recipes Selection…...

Top 5 InTime Features in 2020 - Plunify Blog & Support InTime 3.0. Auto Pilot automating ML and Recipes Selection (Auto-ML).Project-based database with intuitive links to design history. Enhanced Placement/Floorplan Explorations

InTime 3.0 is here! - Plunify Blog & Support 19/06/2020

2020 began tumultuously. Most of us went through a period of isolation, and InTime 3.0 was born in this new landscape. With the world opening up again, abeit slowly, we are happy to give a run down of the latest features in InTime 3.0 Auto Pilot - Automating ML and Recipes Selection (Auto-ML) One recurring feedback from customers, is about automating the recipes. [ 517 more words ]

InTime 3.0 is here! - Plunify Blog & Support InTime 3.0. Auto Pilot automating ML and Recipes Selection (Auto-ML).Project-based database with intuitive links to design history. Enhanced Placement/Floorplan Explorations

How to speed up your FPGA builds with the cloud using a single Tcl command - Plunify Blog & Support 06/04/2020

This is an update of an older post. Many of us are working remotely to protect ourselves, families and our communities. Cloud usage has surged as it is a pool of "ready made" infrastructure for communication and collaboration. This post explains how you can use cloud to build your project with some simple Tcl command in . No additional infrastructure knowledge is requried for you to get started. Sample scripts provided.

How to speed up your FPGA builds with the cloud using a single Tcl command - Plunify Blog & Support Update: 03 Apr 2020 Many of us are presently working remotely and with it, there has been a surge in compute requirements. This is a rehash of on how you can take advantage of the cloud to complete your builds faster. --------------------------------------------------------------------------- Any se...

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