Impacts Of Reliability On Power And Performance


Making sure a complex system performs as planned, and providing proper access to memories, requires a series of delicate tradeoffs that often were ignored in the past. But with performance improvements increasingly tied to architectures and microarchitectures, rather than just scaling to the next node, approaches such as determinism and different kinds of caching increasingly are becoming criti... » read more

Making Sense Of DRAM


Graham Allan, senior manager for product marketing at Synopsys, examines the different types of DRAM, from GDDR to HBM, which markets they’re used in, and why there is such disparity between them. https://youtu.be/ynvcPfD2cZU     __________________________________ See more tech talk videos here. » read more

Fusion Compiler: Comprehensive RTL-to-GDSII Implementation System


The semiconductor industry is going through a renaissance period with waves of technological advancements and innovation. There has been a significant uptick in demand for silicon in recent years, driven by market sectors including automotive, artificial intelligence, cloud computing, and internet of things (IoT) that have their own unique mix of design and implementation requirements. The mobi... » read more

AI Training Chips


Kurt Shuler, vice president of marketing at Arteris IP, talks with Semiconductor Engineering about how to architect an AI training chip, how different processing elements are used to accelerate training algorithms, and how to achieve improved performance. https://youtu.be/4cnBCX-9jlk     See other tech talk videos here. » read more

Power Issues Grow For Cloud Chips


Performance levels in traditional or hyperscale data centers are being limited by power and heat caused by an increasing number of processors, memory, disk and operating systems within servers. The problem is so complex and intertwined, though, that solving it requires a series of steps that hopefully add up to a significant reduction across a system. But at 7nm and below, predicting exactly... » read more

Using ASICs For AI Inferencing


Flex Logix’s Cheng Wang looks at why ASICs are the best way to improve performance and optimize power and area for inferencing, and how to add flexibility into those designs to deal with constantly changing algorithms and data sets. https://youtu.be/XMHr7sz9JWQ » read more

eFPGA vs. FPGA Design Methodologies


Namit Varma, senior director of Achronix’s India Technology Center, discusses the differences between discrete and embedded FPGAs. https://youtu.be/Vwo3ktQvcKc » read more

The Security Penalty


It's not clear if Meltdown, Spectre and Foreshadow caused actual security breaches, but they did prompt big processor vendors like Intel, Arm, AMD and IBM to fix these vulnerabilities before they were made public by Google's Project Zero. While all of this may make data center managers and consumers feel better in one respect, it has created a level of panic of a different sort. For decades,... » read more

Scalable, Cloud-Ready IC Validator Solution For Advanced DRC Nodes


As we move to a data-centric world, semiconductor companies across the globe are working at a furious pace to develop and manufacture Artificial Intelligent [AI] chips. AI is all about an algorithm that mimics a human’s ability to learn and decide. For example, AI can be used to interpret and understand an image that helps a doctor make a better diagnosis for a patient. This requires chips to... » read more

Safety, The Non-Negotiable Requirement Driving Autonomous Vehicle SoC Designs


The automotive industry has set itself the goal of achieving autonomous driving and is accruing the building blocks to make that happen. The challenge is in architecting the next generation automotive SoCs which must deliver exploding performance while meeting requirements for real-time latency, end-to-end QoS, FuSa (ISO 26262) and security. These SoCs need to include heterogeneous architecture... » read more

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