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Semiconductor Intellectual Property
Last week, Synopsys announced an expansion of their Hardware-Assisted Verification (HAV) portfolio to accelerate semiconductor design innovations. These advancements are designed to meet the increasing demands of semiconductor complexity, enabling faster and more efficient verification across software and hardware… Read More
Artificial intelligence and machine learning have undergone incredible changes over the past decade or so. We’ve witnessed the rise of convolutional neural networks and recurrent neural networks. More recently, the rise of generative AI and transformers. At every step, accuracy has been improved as depicted in the graphic… 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
Paul Wells, CEO at sureCore, an ultra-low power memory specialist, has been involved in the semiconductor industry for over 35 years. Previously, he has worked as Director of Engineering for Pace Networks where he led a multidisciplinary product development team creating a broadcast quality video and data mini-headend. Before… Read More
Modern semiconductor devices, a far cry from the chips we once knew, are now highly complex intelligent systems used in datacenters, communications infrastructure, in consumer electronics, automotive, home and office automation, almost everywhere. All such applications build around large subsystems, invariably compute,… Read More
Quadric Inc. is the leading licensor of general-purpose neural processor IP (GPNPU) that runs both machine learning inference workloads and classic DSP and control algorithms. Quadric’s unified hardware and software architecture is optimized for on-device ML inference. Veerbhan Kheterpal is the CEO and one of the co-founders… Read More
The exponential growth of cloud data centers is well-known. Driven by the demands of massive applications like generative AI, state-of-the-art data centers present substantial challenges in terms of power consumption. And AI is poised to drive a 160% increase in data center power demand while also increasing demands on storage… 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
As RISC-V gains traction in the global semiconductor industry, developers are exploring fully open-source approaches to processor design. XiangShan, a high-performance RISC-V CPU project, combined with the Mulan Permissive License v2 (Mulan PSL v2), represents a community-driven, transparent alternative to proprietary… Read More
The semiconductor industry is facing a paradigm shift. Traditional scaling, once driven by Moore’s Law, is slowing down. For years, moving to smaller process nodes led to lower transistor costs and better performance. However, scaling from node to node now offers fewer benefits as wafer costs rise much more than the historical… Read More
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Alphawave Semi is in Play!