What Does 2023 Have In Store For Chip Design?


Predictions seem to be easier to make during times of stability, but they are no more correct than at any other period. During more turbulent times, fewer people are courageous enough to allow their opinions to be heard. And yet it is often those views that are more well thought through, and even if they turn out not to be true, they often contain some very enlightening ideas. 2022 saw some ... » read more

Blog Review: Jan. 25


Cadence's Shyam Sharma shares some important design and verification considerations when working with DDR5 SDRAM and DDR5 DIMM-based memory subsystems, including reset and power on initialization, speed bin compliance, and refresh, RFM, and temperature requirements. Siemens EDA's Harry Foster examines trends in adoption of languages and libraries for IC and ASIC design, testbench creation, a... » read more

Blog Review: Jan. 18


Synopsys' Dana Neustadter, Sara Zafar Jafarzadeh, and Ruud Derwig argue that we are already at an inflection point for post-quantum security because devices and infrastructure systems with longer life cycles or communicating data that must be kept confidential for an extended period need to have a path towards quantum-safe solutions. Siemens EDA's Harry Foster looks at trends in adoption of ... » read more

Design And Verification Methodologies Breaking Down


Tools, methodologies and flows that have been in place since the dawn of semiconductor design are breaking down, but this time there isn't a large pool of researchers coming up with potential solutions. The industry is on its own to formulate those ideas, and that will take a lot of cooperation between EDA companies, fabs, and designers, which has not been their strong point in the past. It ... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

Is AI Sustainable? Five Ways To Reduce Its Carbon Footprint


Forget adding bunny ears to your selfie; AI has long since grown up and begun tackling tough, environmental problems. Its data-crunching superpowers make it ideal for everything from ocean monitoring to climate change prediction modeling. But training AI models requires vast amounts of energy, so do the benefits outweigh the environmental cost? In short, is AI sustainable? Sustainable AI: fact... » read more

Blog Review: Jan. 11


Cadence's Veena Parthan explains why in CFD, understanding the consequences of choices regarding the computational mesh is essential for generating high-fidelity simulation results. Synopsys' Chris Clark shares key considerations and questions to factor in when developing solutions for software-defined vehicles that must meet safety, security, reliability, and quality standards. Siemens E... » read more

Shifting Toward Software-Defined Vehicles


Apple reportedly is developing a software-defined vehicle. But so are Renault, Hyundai, General Motors, and just about everyone else. Some of the benefits of SDVs include increased comfort, convenience, safety, reliability, and remote software and firmware updates. Preventive and predictive maintenance, and remote diagnostics, can be done more conveniently over the air, while vehicle behavio... » read more

How Secure Are RISC-V Chips?


When the Meltdown and Spectre vulnerabilities were first uncovered in 2018, they heralded an industry-wide shift in perspective regarding processor security. As the IBM X-Force Threat Intelligence Index put it the following year, "2018 ushered in a new era of hardware security challenges that forced enterprises and the security community to rethink the way they approach hardware security." R... » read more

Blog Review: Jan. 4


Siemens EDA's Harry Foster investigates the percentage of total IC/ASIC project time spent in verification and increasing engineering headcount, particularly growing demand for verification engineers. Synopsys' Stelios Diamantidis argues that retargeting older chips using AI offers a way to move chip designs between nodes and absorb the market’s excess capacity. Cadence's Paul McLellan ... » read more

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