category: Blogs – LPHP

category: Auto, Security & Edge AI

The Emergence Of Hardware As A Key Enabler For The Age Of Artificial Intelligence
By Stelios Diamantidis - 13 Aug, 2020 - Comments: 0

Over the past few decades, software has been the engine of innovation for countless applications. From PCs to mobile phones, well-defined hardware platforms and instruction set architectures (ISA) have enabled many important advancements across vertical markets. The emergence of abundant-data computing is changing the software-hardware balance in a dramatic way. Diverse AI applications in fa... » read more

Mission Profiles In The Automotive Development Process
By Christoph Sohrmann - 13 Aug, 2020 - Comments: 0

The automotive industry's roadmap for the coming years is e-mobility and autonomous driving. Its implementation is likely to bring about changes on a par with the invention of the automobile itself. While the motor vehicle used to be primarily a mechanical product, it is now an entirely electronic system. Many of the new functions increase the safety of the driver and other road users, and t... » read more

How UVM Callbacks Simplify Assertion Validation
By Akshay Sarup - 13 Aug, 2020 - Comments: 0

By Akshay Sarup and Mark Olen Assertions bring immediate benefits to the whole design and verification cycle; thus any challenges engineers face in coding and testing them are worth resolving. When a large number of assertions are to be validated, callbacks save time by eliminating the need to code a new sequence for each scenario. Callbacks also provide more dynamic and fine-grained cont... » read more

Scaling AI/ML Training Performance With HBM2E Memory
By Frank Ferro - 13 Aug, 2020 - Comments: 0

In my April SemiEngineering Low Power-High Performance blog, I wrote: “Today, AI/ML neural network training models can exceed 10 billion parameters, soon it will be over 100 billion.” “Soon” didn’t take long to arrive. At the end of May, OpenAI unveiled a new 175-billion parameter GPT-3 language model. This represented a more that 100X jump over the size of GPT-2’s 1.5 billion param... » read more

Semiconductors And The Climate Curve
By Rob Aitken - 13 Aug, 2020 - Comments: 0

On July 22 I participated in a panel at the virtual SEMICON West conference called “Bending the Climate Curve: Enabling Sustainable Growth of Big Data, AI, and Cloud Computing.” Virtual conferences are mandatory these days, but give a different experience than physical ones. They are very good at disseminating information and are reasonably effective at networking. But, in my experience... » read more

Managing Worst Case Power Conditions
By Richard McPartland - 13 Aug, 2020 - Comments: 0

With each new technology node, especially FinFET, the dynamic conditions within a chip are changing and becoming more complex in terms of process speeds, thermal activity and supply variation. Dennard scaling brought about the ability for power to be scaled down with each successive node so that power per unit area stayed roughly constant. However, as highlighted by John Hennessy at last y... » read more

Make Acute Angles A Sharp Problem Of The Past
By Tyler Lockman - 13 Aug, 2020 - Comments: 0

Sharp angles, whether they create a spike in a poured shape or form an acid trap between two different pieces of metal, are a problem for us all. As designers, we will go out of our way to try and avoid creating these situations; they will still creep into your design despite the best of intentions. How, then, can you efficiently rid your design of them with the minimal change to your routin... » read more

Expanding Automotive Safety With SOTIF
By Krista Loeffler - 13 Aug, 2020 - Comments: 0

For years, automotive engineering teams have worked to comply with the industry standard ISO 26262, uncovering and addressing functional safety (FuSa) hazards such as software bugs and hardware failures. This standard aims to ensure that complex electronics in today’s cars are reliable ― delivering consistent performance over time, with no critical system failures. With the emergence of ... » read more

Machine Learning Enabled Root Cause Analysis For Low Power Verification
By Himanshu Bhatt - 13 Jul, 2020 - Comments: 0

By Himanshu Bhatt and Susantha Wijesekara Next-generation SoCs with advanced graphics, computing and artificial intelligence capabilities are posing unforeseen challenges in verification. Designers and verification engineers using static verification technologies for low power often see many violations in the initial stages. Efficient debugging and determining root cause is a real issue and ... » read more

An Expanding Application Space For GDDR6 Memory
By Frank Ferro - 09 Jul, 2020 - Comments: 0

The origins of graphics double data rate (GDDR) memory can be traced to the rise of 3D gaming on PCs and consoles. The first GPUs used single data rate (SDR) and double data rate (DDR) DRAM, the same memory used for CPU main memory. The quest for higher frame rates at higher resolutions drove the need for a graphics-workload specific memory solution. The commercial success of gaming PCs and con... » read more

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