Week In Review: Manufacturing, Test

By Mark LaPedus - 07 Jun, 2019 - Comments: 0

Market research IC Insights has released its forecast for chips in terms of applications. Communications is still the biggest IC market, but automotive is growing the fastest. In its first forecast of artificial intelligence (AI) edge processors, International Data Corp. (IDC) estimates that worldwide shipments of AI-optimized processors for edge systems will reach 340.1 million units in 20... » read more

5G Design Changes

By Ed Sperling - 07 Jun, 2019 - Comments: 0

Mike Fitton, senior director of strategic planning at Achronix, talks with Semiconductor Engineering about the two distinct parts of 5G deployment, how to get a huge amount of data from the core to the edge of a device where it is usable, and how a network on chip can improve the flow of data. » read more

Week In Review: Design, Low Power

By Jesse Allen - 07 Jun, 2019 - Comments: 0

M&A Infineon Technologies will acquire Cypress Semiconductor for $23.85 per share in cash, or $10.1 billion. The deal will place Infineon as the number eight chip manufacturer in the world based on 2018 revenues and create an automotive powerhouse, making the combined company the largest supplier of chips to the automotive market. Infineon sees potential to reach into new industrial and co... » read more

Week in Review: IoT, Security, Auto

By Jeff Dorsch - 07 Jun, 2019 - Comments: 0

Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

Algorithms And Security

By Ed Sperling - 06 Jun, 2019 - Comments: 0

From a security standpoint, the best thing AI has going for it is that it's in a state of perpetual change. That also may be the worst thing. The problem, at least for now, is that no one knows for sure. What’s clear is that security is not a primary concern when it comes to designing and building AI systems. In many cases it’s not even an action item because architectures are constantly... » read more

Artificial Intelligence: Let Us Get The Math Right First!

By Ravindra Aneja - 06 Jun, 2019 - Comments: 0

Artificial intelligence is a hot topic these days and therefore doesn’t require a repeat of the current and future potential uses for AI. For most people, it means technology advancements on the software side. But if you ask people who are very close to this technology domain, building your own optimized hardware chips is where a significant part of the competitive edge lies. A few days ba... » read more

Do Large Batches Always Improve Neural Network Throughput?

By Geoff Tate - 06 Jun, 2019 - Comments: 1

Common benchmarks like ResNet-50 generally have much higher throughput with large batch sizes than with batch size =1. For example, the Nvidia Tesla T4 has 4x the throughput at batch=32 than when it is processing in batch=1 mode. Of course, larger batch sizes have a tradeoff: latency increases which may be undesirable in real-time applications. Why do larger batches increase throughput... » read more

Machine Learning Drives High-Level Synthesis Boom

By Kevin Fogarty - 06 Jun, 2019 - Comments: 0

High-level synthesis (HLS) is experiencing a new wave of popularity, driven by its ability to handle machine-learning matrices and iterative design efforts. The obvious advantage of HLS is the boost in productivity designers get from working in C, C++ and other high-level languages rather than RTL. The ability to design a layout that should work, and then easily modify it to test other confi... » read more

Accelerating Endpoint Inferencing

By Kevin Fogarty - 06 Jun, 2019 - Comments: 0

Chipmakers are getting ready to debut inference chips for endpoint devices, even though the rest of the machine-learning ecosystem has yet to be established. Whatever infrastructure does exist today is mostly in the cloud, on edge-computing gateways, or in company-specific data centers, which most companies continue to use. For example, Tesla has its own data center. So do most major carmake... » read more

Designing In The Cloud

By Ranjit Adhikary - 06 Jun, 2019 - Comments: 0

Amazon AWS was launched back in 2006. Web based services such as Netflix and Expedia were early adopters, and AWS has grown rapidly, bringing in competition from Google (GCP), Microsoft (Azure) and others. It has taken a while for the design community to embrace the ‘cloud’ as some of the needs and concerns of design teams are different. Cloud vendors have recognized this untapped market ... » read more

← Older posts Newer posts →