Extracting Maximum Performance From Hardware


The Arm DS-5 Streamline performance analyzer provides system performance metrics, software tracing, and statistical profiling to help engineers get the most performance from hardware and find important bottlenecks in software. The Raspberry Pi 3 is one of the easiest systems for learning Streamline, and a quad-core Cortex-A53 also makes it a good target for learning Linux development. Many o... » read more

Tech Talk: DO-254


Aldec's Louie De Luna explains the safety critical standard for the aerospace industry and how that parallels what's happening in automotive electronics. https://youtu.be/qa1g1NNVj60 » read more

Frontloading CFD-Required Technologies


Today, manufacturing product design cycles need to get shorter and shorter as either new or increased numbers of products get to the market faster. In the automotive industry for example, with either facelifts to existing car models, or the next generation of the model appearing almost every 3-4 years, and an increasing number of new models appearing on the market, the demand on engineering des... » read more

Fuzz Testing Maturity Model


Fuzz testing is a highly effective technique for locating vulnerabilities in software. Malformed and unexpected inputs are delivered to the target software, and when failures occur, vulnerabilities have been located. Fuzzing is a widely recognized technique for improving the security, robustness, and safety of software. However, fuzzing is an open-ended pursuit—an infinite space problem. So, ... » read more

Blog Review: Aug. 23


Cadence's Madhavi Rao asks whether India should have more fabs and the role government policy should play. Synopsys' Kapil Rajpal checks out the Serial Peripheral Interface, which is emerging as a popular choice in automotive applications, and various vendor specific flavors. In a video, Mentor's Colin Walls explains inter-task communication and the basic mechanisms of how to pass data fr... » read more

System Bits: Aug. 22


Bioimaging technique tracks multiple in vivo interactions To make it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue – such as an organ or a small animal — Rensselaer Polytechnic Institute researchers have created an approach to optical imaging that could have applications in medical diagnosis, guided surgery, or pre-clinical dr... » read more

The Week In Review: Design


M&A Qualcomm expanded its AI portfolio, acquiring machine learning startup Scyfer B.V., a spinoff of the University of Amsterdam. Founded in 2013, Scyfer has consulted on object classification, defect inspection, and traffic prediction projects across a range of industries. Terms of the deal were not disclosed. Numbers Synopsys released third quarter financial results with revenue of $... » read more

Blog Review: Aug. 16


Cadence's Paul McLellan checks out how Imec sees the future of transistors and the challenges of 3D logic. Synopsys' Robert Vamosi gets a lesson on the electronic systems powering modern cars, and considers when it's ethical to hack one. Mentor's Colin Walls takes a look at how to pass data between RTOS tasks. Rambus' Aharon Etengoff looks at recent semi market predictions, from expand... » read more

System Bits: Aug. 15


Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

Applying Machine Learning


Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

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