Data Routing In Heterogeneous Chip Designs


Ensuring data gets to where it's supposed to go at exactly the right time is a growing challenge for design engineers and architects developing heterogeneous systems. There is more data moving around these chips with dozens of targets, which makes routing signals much more complicated. Ronen Perets, senior product marketing manager at Cadence Design Systems, talks about some of the new problems... » read more

Barriers To Chiplet Sockets


Experts At The Table: Demand for chiplets is growing, but debate continues about whether standards and general-purpose chiplets will kick-start the commercialization boom, or whether success will come through customization of those chiplets. Semiconductor Engineeering sat down to discuss these and other related issues with Elad Alon, CEO of Blue Cheetah; Mark Kuemerle, vice president of technol... » read more

Enabling Innovative Multi-Vendor Chiplet-Based Designs


Chiplets have emerged as a critical implementation paradigm for semiconductor products, primarily because they can deliver cost benefits relative to a non-chiplet-based approach. The first, most well-proven, and obvious benefit of a chiplet-based approach is manufacturing cost. Manufacturing cost benefits are accrued either from the appropriate selection of chiplet die size, or by optimizin... » 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

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

How Die Dimensions Challenge Assembly Processes


Multi-die assemblies are becoming more common and more complex due to technology advancements and market demands, but differing die dimensions are making this process increasingly challenging. To fully enable a multi-chiplet ecosystem, standardized component handling and interfaces are needed. The underlying concept is similar to LEGO blocks that simply snap together, yet it's nowhere near t... » read more

What Comes After HBM For Chiplets


Experts At The Table: Semiconductor Engineering sat down to discuss what will trigger the creation of a commercial chiplet marketplace, and what those chiplet-based designs will look like, with Elad Alon, CEO of Blue Cheetah; Mark Kuemerle, vice president of technology at Marvell; Kevin Yee, senior director of IP and ecosystem marketing at Samsung; Sailesh Kumar, CEO of Baya Systems; and Tanuja... » read more

Defect Challenges Grow At The Wafer Edge


Reducing defects on the wafer edge, bevel, and backside is becoming essential as the complexity of developing leading-edge chips continue to increase, and where a single flaw can have costly repercussions that span multiple processes and multi-chip packages. This is made more difficult by the widespread rollout of such processes as hybrid bonding, which require pristine surfaces, and the gro... » read more

Shaping The Future Of Automotive Safety With V2X


In recent years, the automotive industry has witnessed a technological evolution that promises to redefine road safety and driving experiences. At the heart of this advancement is V2X technology, which stands for "vehicle-to-everything." This innovation allows vehicles to communicate with each other and their surroundings, enhancing road safety and efficiency. Understanding these cutting-edge d... » read more

Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)


A new technical paper titled "Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems" was published by researchers at Tsinghua University. Abstract "Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism which introduces heavy communicat... » read more

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