China IC Ecosystem Report, 2019 Edition


This report covers the latest semiconductor supply chain development throughout China including the rise and the progress of China IC industry, the national and local government policies, public and private funding, and their impact of key segments of China's IC supply chain, recent market developments, and dynamics of key domestic companies and their international peers are also discussed in t... » read more

EDA Revenue Up 6.6% For Q2


Highlighted by double digit growth in semiconductor IP and the Asia/Pacific region, EDA industry revenue increased 6.6% for Q2 2019 to $2,472.1 million, compared to $2,318.5 million in Q2 2018, according to the ESD Alliance Market Statistics Service. The four-quarters moving average, which compares the most recent four quarters to the prior four quarters, increased by 6%, which represented a... » read more

Manufacturing Bits: Sept. 17


Full-chip inverse lithography D2S has developed new hardware and software that enables a long-awaited technology--full-chip masks using inverse lithography technology (ILT). For years, ILT has been a promising technology. ILT is a next-generation reticle enhancement technique (RET) that enables an optimal photomask pattern for both optical and extreme ultraviolet (EUV) lithography reticles.... » read more

Power/Performance Bits: Sept. 17


Silicon thermoelectrics Researchers at the University of Texas at Dallas and Texas Instruments developed a new method for thermoelectric generation that could be used with electronics to convert waste heat into reusable energy. "In a general sense, waste heat is everywhere: the heat your car engine generates, for example," said Mark Lee, professor and head of the Department of Physics at UT... » read more

System Bits: Sept. 17


Quantum computing R&D in Germany IBM is teaming with the Fraunhofer Society for research and development of quantum computing technology, backed by the German government, which is providing €650 million (about $715.4 million) in funding over two years for the program. IBM has agreed to install a Q System One system at one of its facilities in Germany for the program. The system has 20... » read more

Mixed Picture Seen For EUV Masks


The confidence level of extreme ultraviolet (EUV) lithography continues to grow as the technology moves into production, but the EUV mask infrastructure remains a mixed picture, according to new surveys released by the eBeam Initiative. The EUV mask infrastructure involves several technologies that are in various stages of development. On one front, the outlook for several mask tool technol... » read more

Scan Compression Is No Longer About Compression


Scan compression was introduced in the year 2000 and has seen rapid adoption. Nearly every design’s test methodology today implements this technology, which inserts compression logic in the scan path between the scan I/Os and the internal chains. In this article, we take a critical look at the technology to understand how scan compression has matured. The road to scan compression Since th... » read more

In-System Networks Are Front And Center


This year’s HotChips conference at Stanford was all about artificial intelligence (AI) and machine learning (ML) and what particularly struck me, naturally because we’re in this business too, was how big a role on-chip networks played in some of the leading talks. NVIDIA talked about their scalable mesh architecture, both on-chip and in-package, meshes connecting processing NN processing el... » read more

Machine Learning For ADAS Camera Manufacturing


Virtually every vehicle manufacturer in the world is either developing, purchasing, or investing in ADAS systems in order to bring autonomous vehicles into the market. With this demand on the rise, the need for high quality automotive camera modules is rising. ADAS systems are built using computer vision technology and act as the “eyes” of autonomous vehicles. Numerous cameras are embedd... » read more

FPGA Design Tradeoffs Getting Tougher


FPGAs are getting larger, more complex, and significantly harder to verify and debug. In the past, FPGAs were considered a relatively quick and simple way to get to market before committing to the cost and time of developing an ASIC. But today, both FPGAs and eFPGAs are being used in the most demanding applications, including cloud computing, AI, machine learning, and deep learning. In some ... » read more

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