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Semiconductor Intellectual Property
Generative AI is dramatically changing the compute power that must be delivered by advanced designs. This demand has risen by more than 10,000 times in the past five to six years. This increased demand has impacted the entire SoC design flow. We are now faced with going beyond 1 trillion transistors per chip, and systems now consist… Read More
Memory testing in the early days of computing was a relatively straightforward process. Designers relied on simple, deterministic approaches to verify the functionality of memory modules. However, as memory density increased and systems became more complex, the likelihood of faults also rose. With advancements in memory… 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
Ceva recently unveiled its XC21 and XC23 DSP cores, designed to revolutionize wireless communications and edge AI processing. These new offerings build upon the Ceva-XC20 architecture, delivering unmatched efficiency, scalability, and performance for 5G-Advanced, pre-6G, and smart edge applications. As demand grows … Read More
How much perfectly good silicon is being discarded in the quest for reliability? During high-volume chip manufacturing, aggressive testing with strict thresholds may ensure quality but reduces yield, discarding marginal chips that could function flawlessly. On the other hand, prioritizing yield risks allowing defective… 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
When Semidynamics added support for int4 and fp8 data types to their RISC-V processors, it clearly indicated their intent to target AI inference with hundreds or perhaps thousands of concurrent threads running in their advanced caching and pipelining scheme. Two recent announcements around Embedded World 2025 reinforce their… 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 tech world is sprinting toward a future where your fridge orders groceries, your car avoids traffic before you hit it, and security cameras don’t just watch—they understand. But behind these innovations lies a messy truth: building the brains for these smart systems is complicated.
Fresh off the 2024 Arm Tech Symposia… Read More
Unlike traditional software programming, AI software modeling represents a transformative paradigm shift, reshaping methodologies, redefining execution processes, and driving significant advancements in AI processors requirements.
Software Programming versus AI Modeling: A Fundamental Paradigm Shift
Traditional… Read More
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RISC-V Virtualization and the Complexity of MMUs