GBT Commences Research and Development of Delta, an Automated IC Layout Process Migration and Compaction Technology
GBT Technologies Inc. (OTC PINK: GTCH) has initiated research on a new Electronic Design Automation (EDA) technology named Delta. This tool aims to automate the integrated circuit (IC) layout manufacturing process, focusing on advanced nanometer node technologies through machine learning. Delta will address layout migration, optimization, and compaction to improve silicon yield, performance, and cost efficiency. However, the company acknowledges potential obstacles in development, capital acquisition, and regulatory approvals, which could hinder success.
- Introduction of Delta EDA technology aims to automate IC layout processes.
- Focus on advanced nanometer nodes may enhance design performance and yield.
- Potential for significant cost reduction in IC design and manufacturing.
- No guarantee of successful research, development, or implementation.
- Need to raise adequate capital for research and development.
- Potential reliance on third-party relationships for manufacturing and distribution.
SAN DIEGO, April 15, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”), started research and development of Delta, a new EDA (Electronic Design Automation) technology to automate IC (integrated circuit) layout manufacturing process migration, optimization and compaction.
The Company’s research surrounding Delta layout migration and optimization tool is specifically geared for advanced nanometer nodes technologies, and is based on the company’s machine learning technology. It is aimed to migrate an entire integrated circuit data from one node.
Typically, an IC’s layout process migration involves vast amount of work due to the impact of process variation on the design geometrical, electrical rules, and reliability at the smaller node. The main aim for layout process migration is typically to attain higher silicon yield, improve the design’s performance, power management, and to achieve major cost reduction. When it comes to porting a microchip from one process to another, typically from a larger to a smaller one, there are many factors that have to go through massive changes, among them are device size/geometrical features, new specifications, process related electrical/physical rules and more.
Delta is seeking to automate this process using deep learning technology for specification-driven IC layout blocks porting. The computer program will be migrating from one process to another ensuring the IC’s layout adheres to all advanced design rules, including deep nanometer support like double patterning. The Delta research will seek to take into consideration the new process electrical and reliability constraints and optimize the data composite rules. Delta is also seeking to perform automatic, multi-dimensional, dynamic layout compaction to minimize the overall chip’s area and increase silicon yield. The data compaction will correct all layout design rules, including complex reliability verification (RV), and DFM (Design for Manufacturing) rules for advanced process.
“Today’s advanced manufacturing technologies present tougher challenges for integrated circuits physical implementation. Microchips are being scaled down to meet the never-ending increasing demand for more functionalities, lower power consumption, higher performance and lower cost, creating major design and manufacturing challenges. Microchips today have to be competitive from density, reliability and variability perspectives. In addition, designs have to obey new manufacturing nodes design rules which creates enormous challenge to meet schedules in a timely manner. Moreover, frequent modifications and updates to advanced nodes design rules make it even more challenging to keep up with manually or automatically. Especially with deep nanometer chips, manufacturing is facing massive challenges in terms of silicon manufacturability, and yield efficiency. Through our research on Delta, we are seeking to introduce an automatic layout migration, compaction and optimization solution to successfully handle all these requirements and updates, with the goal of delivering optimal process migration data that is design rule clean with a click-of-a-button. The never-ending quest to achieve cost effective microchip designs, with more capabilities, and higher performance has become a true challenge, especially as we dive into advanced nanometer nodes of 5nm and below. Delta is aimed to offer a whole world of possibilities with the goal of enabling semiconductor design companies to easily move to the next technology node or an entirely different process, opening new markets horizons and competitive growth,” stated Danny Rittman, the Company’s CTO.
There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
About Us
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain statements contained in this press release may constitute “forward-looking statements”. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements because of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company’s views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company’s views as of any date subsequent to the date of the press release.
Contact:
Dr. Danny Rittman, CTO
press@gopherprotocol.com
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