In the early days of RISC-V adoption, applications were microcontroller-centric with no need for virtualization support. But horizons expanded and now RISC-V is appearing in application processors, very much needing to be able to virtualize multiple apps concurrently. Take another step forward to datacenter servers running… Read More
The RISC-V ecosystem is witnessing remarkable growth, driven by increasing industry adoption and a thriving open-source community. As companies and developers seek customizable computing solutions, RISC-V has become a top choice. Providing a scalable and cost-effective ISA foundation, RISC-V enables high-performance… Read More
RISC-V conferences have been at full capacity and I expect this one will be well attended as well. Andes is the biggest name in RSIC-V. The most notable thing about RISC-V conferences is the content. Not only is the content deep, it is international from the top companies in the industry. It is hard to find a design win these days without… Read More
by, Tomi Rantakari CEO ChipFlow & Luca Testa COO Keysom
The automotive industry is undergoing a major transformation, driven by electrification, the rise of new market players, and the rapid adoption of emerging technologies such as AI. Among the most significant advancements is the growing adoption of RISC-V, an open-standard… Read More
Matthew Stephens, co-founder and CEO of Impact Nano, brings over 20 years of experience commercializing advanced materials. Prior to co-founding Impact Nano, Matt was VP Sales and Products at Air Liquide Advanced Materials and held C-level leadership roles at Voltaix and Metem. Matt has a Ph.D. in Chemistry from the University… Read More
AI has changed a lot in the last ten years. In 2012, convolutional neural networks (CNNs) were the state of the art for computer vision. Then around 2020 vison transformers (ViTs) redefined machine learning. Now, Vision-Language Models (VLMs) are changing the game again—blending image and text understanding to power everything… Read More
Dr. Thang Tran is an innovator in modern computing, drawing inspiration from pioneers like Seymour Cray, Thornton, and Tomasulo. His work leverages the simplicity of the RISC-V ISA to advance microprocessor efficiency, integrating vector processing and scoreboarding principles foundational to early supercomputing. Thang… Read More
Because of its open and modular nature, RISC-V has faced recognizable security challenges stemming from fragmentation, performance inefficiencies, and inherent vulnerabilities. Fragmentation across implementations leads to inconsistencies, making it difficult to enforce uniform security measures. Performance… Read More
The dominance of GPUs in AI workloads has long been driven by their ability to handle massive parallelism, but this advantage comes at the cost of high-power consumption and architectural rigidity. A new approach, leveraging a chiplet-based RISC-V vector processor, offers an alternative that balances performance, efficiency,… Read More
The growing demand for high-performance AI applications continues to drive innovation in CPU architecture design. As machine learning workloads, particularly convolutional neural networks (CNNs), become more computationally intensive, architects face the challenge of delivering performance improvements while maintaining… Read More
