High-Level Synthesis Propels Next-Gen AI Accelerators


Everything around you is getting smarter. Artificial intelligence is not just a data center application but will be deployed in all kinds of embedded systems that we interact with daily. We expect to talk to and gesture at them. We expect them to recognize and understand us. And we expect them to operate with just a little bit of common sense. This intelligence is making these systems not just ... » read more

How To Successfully Deploy GenAI On Edge Devices


Generative AI (GenAI) burst onto the scene and into the public’s imagination with the launch of ChatGPT in late 2022. Users were amazed at the natural language processing chatbot’s ability to turn a short text prompt into coherent humanlike text including essays, language translations, and code examples. Technology companies – impressed with ChatGPT’s abilities – have started looking ... » read more

Fallback Fails Spectacularly


Conventional AI/ML inference silicon designs employ a dedicated, hardwired matrix engine – typically called an “NPU” – paired with a legacy programmable processor – either a CPU, or DSP, or GPU. The common theory behind these two-core (or even three core) architectures is that most of the matrix-heavy machine learning workload runs on the dedicated accelerator for maximum efficienc... » read more

High-Level Synthesis Enables The Next Generation Of Edge AI Accelerators


AI is becoming pervasive. But the ever increasing complexity is a challenge for IoT systems. Achieving the highest levels of performance and efficiency in edge AI means going beyond software and off the shelf hardware. Bespoke hardware accelerators in FPGA or ASICs can deliver much higher performance while consuming less energy. Building these accelerators with High-Level Synthesis slashes desi... » read more

Using Predictive Maintenance To Boost IC Manufacturing Efficiency


Predicting exactly how and when a process tool is going to fail is a complex task, but it's getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics. The potential benefits of predictive maintenance are enormous. Higher tool uptime correlates with greater fab efficiency and lower operating costs, so engineers are pursuing multiple routes to boo... » read more

The Crucial Role Of High-Performance Computing In 2024: Balancing Cost And Innovation


We live in a world where digital queries run the Information Superhighway and in turn, our lives. This means that the importance of High-Performance Computing (HPC) cannot be overstated. The technology behind this continues to be a cornerstone for advancing our world and improving productivity. To put it another way, can you imagine a day, a week, when you are not querying something? So, let... » read more

Securing AI In The Data Center


AI has permeated virtually every aspect of our digital lives, from personalized recommendations on streaming platforms to advanced medical diagnostics. Behind the scenes of this AI revolution lies the data center, which houses the hardware, software, and networking infrastructure necessary for training and deploying AI models. Securing AI in the data center relies on data confidentiality, integ... » read more

Security For AI And AI For Security


The aspect for AI was drastically changed after the introduction of ChatGPT from 2022. Even during 2010s, the question of whether the evolution of AI can overcome human’s logical thinking had been researched and developed (e.g., IBM Watson and Google AlphaGo). Now, a few years later from these results, everyone can experience the future potential of AI from the advent of generative AI. Major ... » read more

Can Models Created With AI Be Trusted?


EDA models that are created using AI need to pass more stringent quality and cost benefit analysis compared to many AI applications in the broader industry. Money is hanging on the line if AI gets it wrong, and all the associated costs must be factored into the equation. Models are some of the most expensive things a development team can create, and it is important to understand the value th... » read more

Design Considerations In Photonics


Experts at the Table: Semiconductor Engineering sat down to talk about what CMOS and photonics engineers need to know to successfully collaborate, with James Pond, fellow at Ansys; Gilles Lamant, distinguished engineer at Cadence; and Mitch Heins, business development manager for photonic solutions at Synopsys. What follows are excerpts of that conversation. To view part one of this discussion,... » read more

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