tag: ML

Power Management Becomes Top Issue Everywhere
By Ann Mutschler - 12 Mar, 2020 - Comments: 1

Power management is becoming a bigger challenge across a wide variety of applications, from consumer products such as televisions and set-top-boxes to large data centers, where the cost of cooling server racks to offset the impact of thermal dissipation can be enormous. Several years ago, low-power design was largely relegated to mobile devices that were dependent on a battery. Since then, i... » read more

Implementing Strong Security For AI/ML Accelerators
By Paul Karazuba - 05 Mar, 2020 - Comments: 0

A number of critical security vulnerabilities affecting high-performance CPUs identified in recent years have rocked the semiconductor industry. These high-profile vulnerabilities inadvertently allowed malicious programs to access sensitive data such as passwords, secret keys and other secure assets. The real-world risks of silicon complexity The above-mentioned vulnerabilities are primaril... » read more

Chip Design Is Getting Squishy
By Ed Sperling - 27 Feb, 2020 - Comments: 0

So many variables, uncertainties and new approaches are in play today across the chip industry today that previous rules are looking rather dated. In the past, a handful of large companies or organizations set the rules for the industry and established an industry roadmap. No such roadmap exists today. And while there are efforts underway to create new roadmaps for different industries, inte... » read more

The Challenges Of Building Inferencing Chips
By Ann Mutschler - 27 Feb, 2020 - Comments: 0

Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

The MCU Dilemma
By Brian Bailey - 13 Feb, 2020 - Comments: 2

The humble microcontroller is getting squeezed on all sides. While most of the semiconductor industry has been able to take advantage of Moore's Law, the MCU market has faltered because flash memory does not scale beyond 40nm. At the same time, new capabilities such as voice activation and richer sensor networks are requiring inference engines to be integrated for some markets. In others, re... » read more

Blog Review: Feb. 12
By Ed Sperling - 12 Feb, 2020 - Comments: 0

Complexity is growing by process node, by end application, and in each design. The latest crop of blogs points to just how many dependencies and uncertainties exist today, and what the entire supply chain is doing about them. Mentor's Shivani Joshi digs into various types of constraints in PCBs. Cadence's Neelabh Singh examines the complexities of verifying a lane adapter state machine in... » read more

Big Growth Areas: Connectivity, AI, Reliability
By Brian Bailey - 14 Jan, 2020 - Comments: 0

Connectivity and artificial intelligence (AI) will be the biggest drivers for 2020, with an emphasis on improved reliability across all areas. New standards, new applications, and new pressures being placed on old technology will created boundless opportunities for those ready to fill the need. Of course, there will also be a lot of carnage along the way, and we can expect to see a lot of that ... » read more

Scaling, Packaging, And Partitioning
By Ed Sperling - 17 Dec, 2019 - Comments: 0

Prior to the finFET era, most chipmakers either focused on shrinking or packaging, but they rarely did both. Going forward, the two will be inseparable, and that will lead to big challenges with partitioning of data and processing. The key driver here, of course, is that device scaling no longer provides appreciable benefits in power, performance and cost. Nevertheless, scaling does provide ... » read more

Defining And Improving AI Performance
By Brian Bailey - 12 Dec, 2019 - Comments: 2

Many companies are developing AI chips, both for training and for inference. Although getting the required functionality is important, many solutions will be judged by their performance characteristics. Performance can be measured in different ways, such as number of inferences per second or per watt. These figures are dependent on a lot of factors, not just the hardware architecture. The optim... » read more

Why Standard Memory Choices Are So Confusing
By Ann Mutschler - 19 Nov, 2019 - Comments: 0

System architects increasingly are developing custom memory architectures based upon specific use cases, adding to the complexity of the design process even though the basic memory building blocks have been around for more than half a century. The number of tradeoffs has skyrocketed along with the volume of data. Memory bandwidth is now a gating factor for applications, and traditional memor... » read more

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