The 15th TSMC Open Innovation Platform® (OIP) event was held recently. This event is a focal point across the industry for cutting-edge development and industry-level collaboration. Appropriately, advanced packaging, paving the way for multi-die design was a focal point for the event. You can get a good overview of what was … Read More
Semiconductor Intellectual Property
TSMC N3E is ready for designs, thanks to IP from Synopsys
TSMC has been offering foundry services since 1987, and their first 3nm node was called N3 and debuted in 2022; now they have an enhanced 3nm node dubbed N3E that has launched. Every new node then requires IP that is carefully designed, characterized and validated in silicon to ensure that the IP specifications are being met and … Read More
Synopsys – TSMC Collaboration Unleashes Innovation for TSMC OIP Ecosystem
As the focal point of the TSMC OIP ecosystem, TSMC has been driving important initiatives over the last few years to bring multi-die systems to the mainstream. As the world is moving quickly toward Generative AI technology and AI-based systems, multi-die and chiplet-based implementations are becoming essential. TSMC recently… Read More
Disaggregated Systems: Enabling Computing with UCIe Interconnect and Chiplets-Based Design
The world of computing is evolving rapidly, with a constant demand for more powerful and efficient systems. Generative AI has driven exponential growth in the amount of data that is generated and processed at very high data speeds and very low latencies. Traditionally, computing systems have been built using monolithic designs,… Read More
Pairing RISC-V cores with NoCs ties SoC protocols together
Designers have many paths for differentiating RISC-V solutions. One path launches into various RISC-V core customizations and extensions per the specification. Another focuses on selecting and assembling IP blocks in a complete system-on-chip (SoC) design around one or more RISC-V cores. A third is emerging: interconnecting… Read More
Transformers Transforming the Field of Computer Vision
Over the last few years, transformers have been fundamentally changing the nature of deep learning models, revolutionizing the field of artificial intelligence. Transformers introduce an attention mechanism that allows models to weigh the importance of different elements in an input sequence. Unlike traditional deep learning… Read More
Fast Path to Baby Llama BringUp at the Edge
Tis the season for transformer-centric articles apparently – this is my third within a month. Clearly this is a domain with both great opportunities and challenges: extending large language model (LLM) potential to new edge products and revenue opportunities, with unbounded applications and volumes yet challenges in meeting… Read More
Cadence Tensilica Spins Next Upgrade to LX Architecture
When considering SoC architectures it is easy to become trapped in simple narratives. These assume the center of compute revolves around a central core or core cluster, typically Arm, more recently perhaps a RISC-V option. Throw in an accelerator or two and the rest is detail. But for today’s competitive products that view is a … Read More
Hyperstone Webinar – There’s More to a Storage System Than Meets the Eye
Founded in 1990, Hyperstone is a fabless NAND flash memory controller company enabling safe, reliable and secure storage systems. The company designs, develops and delivers high-quality, innovative semiconductor solutions to enable its customers to produce world-class products for industrial, embedded, automotive and… Read More
Inference Efficiency in Performance, Power, Area, Scalability
Support for AI at the edge has prompted a good deal of innovation in accelerators, initially in CNNs, evolving to DNNs and RNNs (convolutional neural nets, deep neural nets, and recurrent neural nets). Most recently, the transformer technology behind the craze in large language models is proving to have important relevance at… Read More


Disaggregating AI Compute to Break the Tokens Barrier