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With the increasing complexity and importance of memories in modern ICs, there is a clear need for specialized tools and techniques for the design and verification of embedded memory blocks. Traditional methods like SPICE simulation and cell-based formal verification have limitations; SPICE offers circuit-level accuracy
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With the increasing complexity and importance of memories in modern ICs, there is a clear need for specialized tools and techniques for the design and verification of embedded memory blocks. Traditional methods like SPICE simulation and cell-based formal verification have limitations; SPICE offers circuit-level accuracy
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Read More
A recent TechSpot article suggests that Apple is moving cautiously towards release of some kind of generative AI, possibly with iOS 18 and A17 Pro. This is interesting not just for Apple users like me but also for broader validation of a real mobile opportunity for generative AI. Which honestly had not seemed like a given, for multiple… Read More
-Lam reported in line results on reduced expectations
-Guidance disappoints as memory decline continues
-Memory capex down 50% but still sees “further declines”
-Lam ties future to EUV maybe not good idea after ASML report
Lam comes in above grossly already reduced expectations
and misses on guidance
We always … Read More
The overwhelming majority of transistors produced in the world are used in memory cells, either as the memory itself (Flash, SRAM), or as the access device (DRAM). Yet, it is not necessary to have a transistor in every memory cell. In 2015, 3D XPoint, the first major product based on transistor-less memory cells, was announced [1].
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State-of-the-art chips will always include some portions which are memory arrays, which also happen to be the densest portions of the chip. Arrayed features are the main targets for lithography evaluation, as the feature pitch is well-defined, and is directly linked to the cost scaling (more features per wafer) from generation… Read More
For decades development work on Artificial Intelligence (AI) and Machine Learning (ML) was done on traditional CPUs and memory configurations. Now that we are in the “hockey stick” upturn in deployment of AI and ML, the search is on for the most efficient types of processing architectures. The result is a wave of development for… Read More
If you are designing an SOC for an IoT application and looking to minimize power consumption, there are a lot of choices. However, more often than not, looking at reducing SRAM power is a good place to start. SRAMs can consume up to 70% of an IC’s power. SureCore, a leading memory IP supplier, offers highly optimized SRAM instances … Read More
Life is full of convenience-security tradeoffs. Sometimes these are explicit, where you get to make an active choice about how secure or insecure you want things to be. Other times we are unaware of the choices we are making, and how risky they are for the convenience provided. If you leave your bike unlocked, you can expect it to be… Read More
In the wake of TSMC’s recent Open Innovation Platform event, I spoke to Frank Ferro, Senior Director of Product Management at Rambus. His presentation on advanced memory interfaces for high-performance systems helped to shed some light on the evolution of system memory for leading edge applications. System implementers now… Read More