Today we announce an exciting new partnership with Xilinx to provide on-demand licenses of the best-in-class Vivado Design Suite HLx Editions software on the Plunify Cloud. Plunify Cloud is built upon the largest cloud provider – Amazon Web Services. What you can look forward to under the new Plunify-Xilinx agreement is a cloud-based platform encompassing […]
With the onslaught of exciting trends in Machine Learning (ML) and Artificial Intelligence (AI), Plunify has started an initiative – AI Lab, to enable users to take advantage of cloud computing for their ML needs. http://ailab.plunify.com is our new web portal where trainers, educators, students, researchers and even enthusiasts can log on to launch pre-configured […]
Plunify Cloud integrated with Xilinx® Vivado® lets you compile, optimize and test FPGA designs in the cloud directly from Vivado. With just a few button clicks, significantly accelerate your FPGA builds and achieve maximum performance with the flexibility of the cloud today — no more IT woes. Register a Plunify Cloud account and purchase credits […]
Ever wondered how efficient InTime when it is helping you and your team optimize FPGA designs? When using the InTime Private Cloud, are you curious about whether your team has sufficient licenses to meet performance targets on time? Is there a need to increase the number of licenses? These questions represent important metrics for decision maker(s) […]
For those who know our history, Plunify was born in the cloud. Our very first prototype of InTime was developed, executed and tested on Amazon Web Services. During those days, we only had to contend with EC2, EBS and S3. We even had to implement AES encryption in S3 ourselves (nowadays it is a checkbox!). […]
Plunify collaborated with CSIP and Huada Empyrean to provide a private cloud platform for an inter-university IC design competition in China. Implemented earlier this year, the solution consists of our EDAxtend platform, but instead of FPGA tools, this implementation includes EDA tools from Huada Empyrean. In terms of specifications, this platform is designed to handle the load of […]
This is a recap of a event that we did in Shanghai. The text is mainly in Chinese. If you need the details in English, do let us know. Cheers! 如何使用机器学习技术来解决FPGA设计上的问题 2014年3月29日在IC咖啡上海站讨论在FPGA设计里工程师与设计团队所面对的问题，及如何应用数据分析和机器学习演算法来解决。 【主讲人】 黄瀚华, 技术副总裁 张伟雄 Kirvy, 产品总裁 讲座分享内容： 一、机器学习： · 定义：专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。 · 机器学习技术很适合用在所谓的“大数据”应用，例如网络商家的商品推荐系统、石油开采的开采地点预测工具等。 · FPGA设计其实也包含了大数据的特征，所以时序、利用率、功耗方面的问题都能以机器学习技术来解决。 二、新的解决方案： · 采用机器学习演算法，胜过现有的方法（例：尝试不同的“种子”）几倍。 · 流程： （一）分析FPGA器件、设计项目、约束条件等输入参数，以及编译过程中所达到的时序频率、利用率和功耗等结果之间的相关性。 （二）推断对项目最有利的综合、布局布线设置参数。 （三）产生新的编译设置的组合。 （四）从结果中不断学习新的相关性，不断自我改良。 […]
Today we launched http://cn.plunify.com. Users in China will be able to enjoy a faster and smoother experience. Upon clicking on the login button, they will be re-directed to a server located in China which acts as a “gateway” to the Amazon Web Services cloud. If you have been in China, even in major cities like […]
The days where Username and Password authentication sufficed for logging in to my email – only for me to check “remember me” – are long gone. Lo and behold, a new generation (pun intended) of One-Time-Password (OTP) dongles are here to weigh our pockets down. The extra weight not only makes the authentication process a […]