tag: low-power design

How Much Power Will AI Chips Use?
By Ed Sperling - 12 Mar, 2020 - Comments: 1

AI and machine learning have voracious appetites when it comes to power. On the training side, they will fully utilize every available processing element in a highly parallelized array of processors and accelerators. And on the inferencing side they, will continue to optimize algorithms to maximize performance for whatever task a system is designed to do. But as with cars, mileage varies gre... » read more

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

Power Challenges In ML Processors
By Brian Bailey - 12 Mar, 2020 - Comments: 0

The design of artificial intelligence (AI) chips or machine learning (ML) systems requires that designers and architects use every trick in the book and then learn some new ones if they are to be successful. Call it style, call it architecture, there are some designs that are just better than others. When it comes to power, there are plenty of ways that small changes can make large differences.... » read more

High-Performance Memory For AI And HPC
By Ed Sperling - 09 Mar, 2020 - Comments: 0

Frank Ferro, senior director of product management at Rambus, examines the current performance bottlenecks in high-performance computing, drilling down into power and performance for different memory options, and explains what are the best solutions for different applications and why. » read more

Enterprise-Class DRAM Reliability
By Ed Sperling - 06 Mar, 2020 - Comments: 0

Brett Murdock, product manager for memory interfaces at Synopsys, examines demand for DDR5 and DDR4 in both on-premise and cloud implementations, what features are available for which versions, how they affect performance and power, how ECC is implemented, and how the data moves throughout these systems. » read more

Thinking About AI Power In Parallel
By Ed Sperling - 13 Feb, 2020 - Comments: 0

Most AI chips being developed today run highly parallel series of multiply/accumulate (MAC) operations. More processors and accelerators equate to better performance. This is why it's not uncommon to see chipmakers stitching together multiple die that are larger than a single reticle. It's also one of the reasons so much attention is being paid to moving to the next process node. It's not ne... » read more

Reducing Power At RTL
By Ann Mutschler - 13 Feb, 2020 - Comments: 0

Power management and reduction at the register transfer level is becoming more problematic as more heterogeneous elements are added into advanced designs and more components are dependent on interactions with other components. This has been a growing problem in leading-edge designs for the past couple of process nodes, but similar issues have begun creeping into less-sophisticated designs as... » read more

Changes In AI SoCs
By Ed Sperling - 12 Feb, 2020 - Comments: 0

Kurt Shuler, vice president of marketing at ArterisIP, talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling of both hardware and software together. » read more

Tradeoffs In Embedded Vision SoCs
By Ed Sperling - 28 Jan, 2020 - Comments: 0

Gordon Cooper, product marketing manager for embedded vision processors at Synopsys, talks with Semiconductor Engineering about the need for more performance in these devices, how that impacts power, and what can be done to optimize both prior to manufacturing. » read more

Analog: Avoid Or Embrace?
By Brian Bailey - 16 Jan, 2020 - Comments: 0

We live in an analog world, but digital processing has proven quicker, cheaper and easier. Moving digital data around is only possible while the physics of wires can be safely abstracted away enough to provide reliable communications. As soon as a signal passes off-chip, the analog domain reasserts control for modern systems. Each of those transitions requires a data converter. The usage ... » read more

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