Automotive System Design


Burkhard Huhnke, vice president of automotive at Synopsys, looks at how to build and update chips in increasingly sophisticated vehicles, where the problem spots are, and what comes next. » read more

IP Requires System Context At 6/5/3nm


Driven by each successive generation of semiconductor manufacturing technology, complexity has reached dizzying levels. Every part of the design, verification and manufacturing is more complicated and intense the more transistors are able to be packed onto a die. For these reasons, the entire system must be taken into consideration as a whole – not just as individual building blocks as could ... » read more

Challenges In Using HLS For FPGA Design


High-level synthesis (HLS) tools, which transform C/C++ source code to Verilog/VHDL, have been commercially available for over 15 years. HLS tools from FPGA vendors and EDA companies promise improved productivity through a higher-level of abstraction, faster verification and quicker design iterations. For example, simulating your design in C/C++ can be 10 to 100x faster than simulating in RTL (... » read more

Focus Shifting From 2.5D To Fan-Outs For Lower Cost


Semiconductor Engineering sat down to discuss advanced packaging with Calvin Cheung, vice president of engineering at ASE; Walter Ng, vice president of business management at UMC; Ajay Lalwani, vice president of global manufacturing operations at eSilicon; Vic Kulkarni, vice president and chief strategist in the office of the CTO at ANSYS; and Tien Shiah, senior manager for memory at Samsung. W... » read more

Where Are We On The Road To Artificial Intelligence In Chip Design?


It’s hard to find an article today that doesn’t talk about how Artificial Intelligence is going to solve every possible problem in the world. From self-driving cars, to robots running an entire hotel (in Japan), to voice assistants answering your every question, it appears that every problem can be solved with AI. As so often in life, the true answer is: it depends. It depends on the nature... » read more

The Precision Knob


Precision used to be a goal, but increasingly it is being used as a tool. This is true for processing and algorithms, where less precision can greatly improve both performance and battery life. And it is true in manufacturing, where more precision can help minimize the growing impact of variation. Moreover, being able to dial precision up or down can help engineers see the impact on a system... » read more

The Role Of EDA In AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

EDA, IP Revenue Down


EDA and IP revenue dropped 3.1% in Q4 2018 to $2.570 billion, versus $2.652 billion in the same period in 2017, ending a streak of 11 consecutive positive quarters of growth, according to the statistics released today by the Electronic System Design (ESD) Alliance. One quarter doesn't indicate a trend, but it certainly gets everyone's attention after nearly three years of positive news. Now ... » read more

From AI Algorithm To Implementation


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Preparing For War On The Edge


War clouds are gathering over the edge of the network. The rush by the reigning giants of data—IBM, Amazon, Facebook, Alibaba, Baidu, Microsoft and Apple—to control the cloud by building mammoth hyperscale data centers  is being met with uncertainty at the edge of the network. In fact, just the emergence of the edge could mean that all bets are off when it comes to data dominance. It... » read more

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