Hyperscale data centers are evolving rapidly to meet the demands of high-bandwidth, low-latency applications, ranging from AI and high-performance computing (HPC) to telecommunications and 4K video streaming. The increasing need for faster data transfer rates has prompted a scaling of Ethernet from 51Tb/s to 100Tb/s. Numerous… Read More
WP_Term Object ( [term_id] => 14 [name] => Synopsys [slug] => synopsys [term_group] => 0 [term_taxonomy_id] => 14 [taxonomy] => category [description] => [parent] => 157 [count] => 654 [filter] => raw [cat_ID] => 14 [category_count] => 654 [category_description] => [cat_name] => Synopsys [category_nicename] => synopsys [category_parent] => 157 [is_post] => )
Synopsys has just announced that it has expanded its ARC processor portfolio to include a family of RISC-V processors. These will be branded under the ARC name as ARC-V and are expected to become available in 2024. This is a significant announcement which I attempt to unpack briefly below.
Why add RISC-V to the portfolio and why now?… Read More
Electrical copper interconnects, once the backbone of data center networks, are facing growing challenges. Rapid expansion of AI and ML applications is driving a significant increase in cluster sizes within data centers, resulting in substantial demands for faster I/O capabilities. While the surge in I/O requirements is … Read More
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
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
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
We have shown in the “Design IP Report” 2022 that the market share of the wired Interface IP category is a growing part of the total IP, and that this trend is confirmed year after year. The interface IP category has moved from 18% share in 2017 to 25% in 2022.
During the 2010-decade, smartphone was the strong driver for the IP industry,… Read More
Ethernet’s continual adaptation to meet the demands of a data-rich, interconnected world can be credited to the two axes along which its evolution has been propelled. The first axis emphasizes Ethernet’s role in enabling precise and reliable control over interconnected systems. As industries embrace automation… Read More
Artificial Intelligence (AI) has witnessed explosive growth in applications across various industries, ranging from autonomous vehicles and natural language processing to computer vision and robotics. The AI embedded semiconductor market is projected to reach $800 billion by year 2030. Compare this with just $48 billion… Read More
Aberration-free optics are bulky and expensive. Thanks to high-performance AI-enabled processors and GPUs with abundant processing capabilities, image quality nowadays relies more on high computing power tied to miniaturized optics and sensors. Computational imaging is the new trend in imaging and relies on the fusion … Read More