The Week In Review: Design


Tools Synopsys debuted new versions of its circuit simulation and custom design products. FineSim SPICE provides 2X faster simulation and Monte Carlo analysis speed, CustomSim FastSPICE offers 2X speed-up for post-layout SRAM simulation and maintains multi-core scalability by providing additional 2X speed-up on four cores, and HSPICE delivers 1.5X speed-up for large post-layout designs, accord... » read more

Blog Review: Mar. 14


Cadence's Meera Collier considers the issues of bias implementation in algorithms and AI systems, and whether immense training sets can really solve the problem. Mentor's Cristian Filip digs into the evolution of signal integrity analysis methods and why different data rates require different solutions. Synopsys' Naveen G explains key features introduced in the latest generation of interc... » read more

System Bits: March 13


Wiring quantum computers According to MIT researchers, when we talk about “information technology,” we generally mean the technology part, like computers, networks, and software. But they reminded that the information itself, and its behavior in quantum systems, is a central focus for MIT’s interdisciplinary Quantum Engineering Group (QEG) as it seeks to develop quantum computing and oth... » read more

The Week In Review: Design


M&A Microchip inked an agreement to acquire Microsemi, provider of chips for defense and aerospace, for $68.78 per share in cash. The acquisition price represents a total equity value of about $8.35 billion and a total enterprise value of about $10.15 billion, according to Microchip. The deal is expected to close in the second quarter of 2018. Silvaco acquired NanGate. Founded in 2004, ... » read more

Blog Review: Mar. 7


Synopsys' Amit Paunikar and Shaily Khare take a look at new features in LPDDR5, from improved data bandwidth and Deep Sleep Mode to WCK clock. Cadence's Paul McLellan dives into forward error correction, a technique for automatically correcting errors in transmitted network data, with a look at why it's important and how it works. In his latest embedded software video, Mentor's Colin Wall... » read more

System Bits: March 6


Printed graphene biosensors According to researchers at the Fraunhofer Institute for Biomedical Engineering IBMT in St. Ingbert (in Germany’s Saarland region), cell-based biosensors can simulate the effect of various substances, such as drugs, on the human body in the laboratory but depending on the measuring principle, producing them can be expensive. As such, they aren’t used very often.... » read more

The Week In Review: Design


Startup OnScale launched with advanced CAE multi-physics solvers that are seamlessly integrated with a scalable, high performance cloud computing platform built on Amazon's AWS. The company's model is built around a Solver-as-a-Service pay-as-you-go subscription model and targets 5G, IoT/Industrial IoT, biomedical, and autonomous car markets. The company has $3 million in strategic seed fund... » read more

Blog Review: Feb. 28


Mentor's Matthew Ballance explains just what the portable stimulus standard makes portable. Cadence's Dave Pursley considers why high-level synthesis is a good fit for cutting-edge machine learning designs. Synopsys' Melissa Kirschner notes that the growing number of IoT devices means new opportunities for one-time programmable NVM. Applied's Mike Rosa considers the pros and cons of 5G... » read more

Systems Bits: Feb. 27


Prepare to prevent malicious AI use According to the University of Cambridge, 26 experts on the security implications of emerging technologies have jointly authored a ground-breaking report thereby sounding the alarm about the potential malicious use of artificial intelligence (AI) by rogue states, criminals, and terrorists. The report forecasts rapid growth in cyber-crime and the misuse of... » read more

Why EDA Needs To Change


Why is it taking so long for [getkc id="305" kc_name="machine learning"] to have an impact within EDA? Most of the time when I talk to the experts within the field I hear about why designs are so different from other machine learning applications, and I know that is true. Many of you reading this may not be aware that I was a developer of EDA tools for more than 35 years before I ended up writi... » read more

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