Survey: HW SW Co-Design Approaches Tailored to LLMs


A new technical paper titled "A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models" was published by researchers at Duke University and Johns Hopkins University. Abstract "The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language proce... » read more

Chip Industry Week In Review


Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

Paving The Way For Sustainable AI


Real-time requirements and the need for power-efficiency, security and privacy drives AI-processing at the edge. Key benefits of Edge AI include: -Low latency and real-time response -High power efficiency -Improved security and data privacy -Reduced cost A complementary set of AI-specific products and solutions, an end-to-end ML platform as well as an extensive application kno... » read more

The Cost Of EDA Data Storage And Processing Efficiency


Engineering teams are turning to the cloud to process and store increasing amounts of EDA data, but while the compute resources in hyperscale data centers are virtually unlimited, the move can add costs, slow access to data, and raise new concerns about sustainability. For complex chip designs, the elasticity of the cloud is a huge bonus. With advanced-node chips and packaging, the amount of... » read more

Chip Industry Week In Review


Global spending on 300mm fab equipment is expected to reach a record US$400 billion from 2025 to 2027, according to SEMI. Key drivers are the regionalization of semiconductor fabs and the increasing demand for AI chips in data centers and edge devices, with China, South Korea, and Taiwan leading the way. The Biden-Harris Administration launched the National Semiconductor Technology Center’... » read more

Using AI To Glue Disparate IC Ecosystem Data


AI holds the potential to change how companies interact throughout the global semiconductor ecosystem, gluing together different data types and processes that can be shared between companies that in the past had little or no direct connections. Chipmakers always have used abstraction layers to see the bigger picture of how the various components of a chip go together, allowing them to pinpoi... » read more

Characteristics and Potential HW Architectures for Neuro-Symbolic AI


A new technical paper titled "Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture" was published by researchers at Georgia Tech, UC Berkeley, and IBM Research. Abstract: "The remarkable advancements in artificial intelligence (AI), primarily driven by deep neural networks, are facing challenges surrounding unsustainable computational trajectories, li... » read more

Optimizing Wafer Edge Processes For Chip Stacking


Stacking chiplets vertically using short and direct wafer-to-wafer bonds can reduce signal delay to negligible levels, enabling smaller, thinner packages with faster memory/processor speeds and lower power consumption. The race is on to implement wafer stacking and die-to-wafer hybrid bonding, now considered essential for stacking logic and memory, 3D NAND, and possibly multi-layer DRAM stac... » read more

Smart Manufacturing, Smart Data-AI, And Future Of Computing


By Melissa Grupen-Shemansky, Pushkar Apte, and Mark da Silva Use of machine learning and artificial intelligence (ML/AI) is on an exponential rise across fields1 including all aspects of the semiconductor industry. In the last decade, the use of ML/AI exploded in the areas of speech recognition, facial recognition, smart phone features, search engines and now large language models like Chat... » read more

Chip Industry Week In Review


Infineon rolled out the world's first 300mm gallium nitride (GaN) wafer, opening the door for high-volume manufacturing of GaN-based power semiconductors. A 300mm wafer contains 2.3 times as many chips per wafer as a 200mm wafer. Fig.1: Infineon's 300mm GaN wafer. Source: Infineon The Semiconductor Industry Association released its 2024 State of the U.S. Semiconductor Industry report th... » read more

← Older posts Newer posts →