Chip Industry Week In Review


Siemens announced plans to acquire Altair Engineering, a provider of industrial simulation and analysis, data science, and high-performance computing (HPC) software, for about $10 billion. Altair's software will become part of Siemens' Xcelerator portfolio and provide a boost to physics-based digital twins. Onto Innovation bought Lumina Instruments, a San Jose, California-based maker of lase... » read more

Chip Industry Week In Review


Europe's top court ruled in Intel's favor, voiding a $1.1 billion fine imposed by the European Union and dismissing charges of anti-competitive behavior. IBM released yield benchmarks for high-NA EUV, which serve as proof points that the newest advanced litho equipment will enable scaling beyond the 2nm process node. Also on the lithography front, Nikon is developing a maskless digital litho... » read more

Chip Industry Week In Review


Arm joined forces with Korea's Samsung Foundry, ADTechnology, and Rebellions to create a CPU chiplet platform for AI training and inference. The new chiplet will be based on Samsung's 2nm gate-all-around technology. Intel and AMD, arch competitors for decades, formed an x86 ecosystem advisory group to collaborate on architectural interoperability and simplify software development. Samsung... » 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

Managing Legacy In Automotive


Experts At The Table: The automotive ecosystem is in the midst of an intense evolution as OEMs and tiered providers grapple with how to deal with legacy technology while incorporating ever-increasing levels of autonomy, electrification, software defined vehicle concepts, just to name a few. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, senior dir... » read more

Chip Industry Week In Review


Concerns mount on the use of American-manufactured semiconductors in Russian weapons, with Analog Devices, AMD, Intel and TI set to testify next week before the U.S. Senate Permanent Subcommittee on Investigations. Also, U.S. and other government agencies issued a joint advisory and more details about ongoing Russian military cyberattacks, espionage, and sabotage. The U.S. Commerce Departmen... » read more

Balancing Programmability And Performance In Cars


The rate of change in the automotive industry is accelerating with the shift toward software-defined vehicles and ongoing advancements in algorithms and chip architectures. The challenge now is to figure out the best way to prevent rapid obsolescence, improve safety, and keep the cost of these changes to a minimum. Today, updatable automotive hardware is typically achieved through FPGAs, but... » read more

New AI Processors Architectures Balance Speed With Efficiency


Leading AI systems designs are migrating away from building the fastest AI processor possible, adopting a more balanced approach that involves highly specialized, heterogeneous compute elements, faster data movement, and significantly lower power. Part of this shift revolves around the adoption of chiplets in 2.5D/3.5D packages, which enable greater customization for different workloads and ... » read more

Defining The Chiplet Socket


Experts At The Table: The semiconductor industry has been buzzing with the possibilities surrounding chiplets, but so far this packaging technology has been confined to large semiconductor companies that are vertically integrated. The industry has been attempting to open this up to a broader group of people. To work out what this means for chiplets, and what standardization will be required, Se... » read more

GPU Microarchitecture Integrating Dedicated Matrix Units At The Cluster Level (UC Berkeley)


A new technical paper titled "Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency" was published by UC Berkeley. Abstract "Modern GPUs incorporate specialized matrix units such as Tensor Cores to accelerate GEMM operations central to deep learning workloads. However, existing matrix unit designs are tightly coupled to the SIMT core, limiting the size a... » read more

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