tag: Siemens

Blog Review: April 24
By Jesse Allen - 24 Apr, 2019 - Comments: 0

Rambus' Steven Woo checks out changes in the hardware used for neural network training and the importance of co-design of hardware and software. Cadence's Meera Collier makes an argument for why vehicle sensors watching the driver could prevent some distraction and fatigue-related crashes. Synopsys' Dan Lyon and Garrett Sipple point to some best practices for how to deal with a changing t... » read more

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 19 Apr, 2019 - Comments: 0

Internet of Things Combining artificial intelligence with unmanned aerial vehicles could provide a quicker and safer alternative to inspecting roadways for cracks, potholes, and other damage, according to a paper posted on arvix.org. “[M]anual visual inspection [is] not only tedious, time-consuming, and costly, but also dangerous for the personnel. Furthermore, the detection results are alwa... » read more

Week In Review: Design, Low Power
By Jesse Allen - 19 Apr, 2019 - Comments: 0

Intel acquired vision and video FPGA IP company Omnitek. Founded in 1998, the Basingstoke, England-based company has produced FPGA IP cores for video processing including conversion and enhancement, creating arbitrary image warps on a real time video stream, connectivity, and deep learning and AI inferencing. Terms of the deal were not disclosed. Qualcomm and Apple have dropped all litigatio... » read more

Designing For The Edge
By Ann Mutschler - 17 Apr, 2019 - Comments: 0

Chip and system architectures are beginning to change as the tech industry comes to grips with the need to process more data locally for latency, safety, and privacy/security reasons. The emergence of the intelligent edge is an effort to take raw data from endpoints, extract the data that requires immediate action, and forward other data to various local, regional or commercial clouds. The b... » read more

The Role Of EDA In AI
By Brian Bailey - 17 Apr, 2019 - Comments: 0

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

Blog Review: April 17
By Jesse Allen - 17 Apr, 2019 - Comments: 0

In a video, Mentor's Colin Walls digs into power management in embedded software with a particular look at the Power Pyramid model. Synopsys' Taylor Armerding checks out the state of application security at this year's RSA and finds that while organizations are paying attention to security through training and dedicated teams, roadblocks still remain. Cadence's Paul McLellan considers how... » read more

The Weather Report: 2018 Study On IC/ASIC Verification Trends
By Harry Foster - 11 Apr, 2019 - Comments: 0

Nobel Laureate Bob Dylan observed, “You don’t need a weatherman to know which way the wind blows.” Similarly, we can get a feeling for where our industry is going by attending to the flow of thought at conferences, on line, or in our daily business. But that gives us only a small window to observe the hurricane-like forces of the very large and complicated, extremely dynamic global semico... » read more

Target: 50% Reduction In Memory Power
By Brian Bailey - 11 Apr, 2019 - Comments: 3

Memory consumes about 50% or more of the area and about 50% of the power of an SoC, and those percentages are likely to increase. The problem is that static random access memory (SRAM) has not scaled in accordance with Moore's Law, and that will not change. In addition, with many devices not chasing the latest node and with power becoming an increasing concern, the industry must find ways to... » read more

Optimization Challenges For Safety And Security
By Brian Bailey - 11 Apr, 2019 - Comments: 0

Complexity challenges long-held assumptions. In the past, the semiconductor industry thought it understood performance/area tradeoffs, but over time it became clear this is not so simple. Measuring performance is no longer an absolute. Power has many dimensions including peak, average, total energy and heat, and power and function are tied together. Design teams are now dealing with the impl... » read more

Finding Code Problems Before High-Level Synthesis
By Mentor, a Siemens Business - 10 Apr, 2019 - Comments: 0

In order to significantly speed up verification and to handle complex algorithms that change daily, many companies are turning to a High-Level Synthesis (HLS) methodology. But, it is extremely important that the high-level C++ model is correct. In addition, the C++ language has ambiguities that can be tough to catch during simulation. Even if correctly written, the high-level model could be cod... » read more

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