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In the era of big data, chip IC design is difficult to parry
In the era of "big data," do chip designers themselves leverage this powerful resource? They are surrounded by massive volumes of raw data—generated from tools provided by various EDA (Electronic Design Automation) vendors. However, have they found an effective way to use big data to optimize and accelerate the chip design process?
Big data has become a hot topic across industries—from biotechnology and finance to agriculture, education, and transportation. Every sector is eager to harness its potential to transform their operations and gain deeper insights.
But what about the semiconductor industry? This is where ICManage Inc., a company specializing in design data and IP management software for chip companies, has stepped in. Recently, they launched the "Big Data Labs" initiative, aiming to help chip designers better utilize big data.
DeanDrako, CEO of ICManage, described BigDataLabs as a platform that empowers IC design customers to "develop and customize new design analysis tools based on big data." In an age where semiconductor companies are already designing chips for data centers, the question remains: Are these designers using big data effectively?
The answer, at least for now, is no. While the semiconductor industry has long used data management tools, Laurie Balch, chief analyst at GarySmithEDA, notes that while ICManage has focused on keeping large amounts of data secure and organized, the real challenge lies in creating analysis tools that enable intelligent decision-making. She says the industry is still in the early stages of making such tools usable.
ICManage isn't a traditional EDA vendor. It doesn’t create simulation or synthesis tools but instead focuses on "EDA enterprise tools." Balch describes ICManage as a key player in the IC design database market.
With electronic design generating vast amounts of data, managing it has become a growing challenge. ICManage aims to address this by offering a solution that combines unstructured and structured data into a hybrid database. Drako explains that this approach allows chip companies to perform advanced EDA analysis with greater efficiency.
One of ICManage’s key innovations is the BigDataLabs platform, which provides visual analysis and interactive reporting capabilities. This helps users track design progress, IP reuse, and more, enabling better decision-making throughout the design cycle.
A few years ago, ICManage introduced a product called "EnvisionDesignProgressAnalytics," which helped predict chip development. With BigDataLabs, the company is taking things a step further by working closely with customers and EDA tool vendors to build customized tools that provide deeper insights into the design process.
One of the first tools developed under BigDataLabs is "EnvisionVerification," a functional verification and analysis tool. It connects to multi-vendor environments and offers near-instant visual analysis of verification data. Traditionally, verifying a complex design could involve time-consuming manual checks, but EnvisionVerification streamlines this process, reducing analysis time by up to 100 times.
Balch emphasizes that verification is a critical challenge for electronic designers, especially when aiming for "first-time right" designs. The ability to identify bottlenecks and root causes quickly is essential, and tools like EnvisionVerification make this possible.
Looking ahead, ICManage plans to expand its big data analysis offerings, including physical verification, timing analysis, and power consumption tools. As the semiconductor industry grows more complex, especially with increasing M&A activity, the need for efficient data management will only become more urgent. Companies like ICManage are stepping up to meet this demand.