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Benchmarks For The Edge

Geoff Tate, CEO of Flex Logix, talks about benchmarking in edge devices, particularly for convolutional neural networks. The post Benchmarks For The Edge appeared first on Semiconductor Engineering.

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Designing Networking Chips

Susheel Tadikonda, vice president of networking and storage at Synopsys, talks about what’s changed in the way networking chips are being designed to deal with a massive increase in data. One of those...

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The Promise Of GDDR6 And 7nm

Research Nester, a market research and consulting firm, estimates that the “global market of computer graphics may witness a remarkable growth and reach at the valuation of $215.5 billion by the end of...

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New Challenges For Data Centers

Rita Horner, senior technical marketing manager in Synopsys’ Solutions Group, looks at the impact of a significant rise in data, why this often leads to big cost increases, and where the bottlenecks...

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Inferencing At The Edge

Geoff Tate, CEO of Flex Logix, talks about the challenges of power and performance at the edge, why this market is so important from a business and technology standpoint, and what factors need to be...

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Speeding Up AI

Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about AI, which processors work best where, and different approaches to accelerate performance. SE: How is...

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Inferencing Efficiency

Geoff Tate, CEO of Flex Logix, talks with Semiconductor Engineering about how to measure efficiency in inferencing chips, how to achieve the most throughput for the lowest cost, and what the benchmarks...

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DRAM Tradeoffs: Speed Vs. Energy

Semiconductor Engineering sat down to talk about new DRAM options and considerations with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product...

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Why DRAM Won’t Go Away

Semiconductor Engineering sat down to talk about DRAM’s future with Frank Ferro, senior director of product management at Rambus; Marc Greenberg, group director for product marketing at Cadence; Graham...

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Making Sense Of ML Metrics

Steve Roddy, vice president of products for Arm’s Machine Learning Group, talks with Semiconductor Engineering about what different metrics actually mean, and why they can vary by individual...

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HBM Issues In AI Systems

All systems face limitations, and as one limitation is removed, another is revealed that had remained hidden. It is highly likely that this game of Whac-A-Mole will play out in AI systems that employ...

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AI Inference Acceleration

Geoff Tate, CEO of Flex Logix, talks about considerations in choosing an AI inference accelerator, how that fits in with other processing elements on a chip, what tradeoffs are involved with reducing...

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Faster Inferencing At The Edge

Cheng Wang, senior vice president of engineering at Flex Logix, talks about inferencing at the edge, what are some of the main considerations in designing and choosing an inferencing chip, why...

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Extremely Large Exposure Field w/Fine Resolution Lithography Tech To Enable...

Abstract—”The growing demand for heterogeneous integration is driven by the 5G market that includes smartphones, data centers, servers, HPC, AI and IoT applications. Next-generation packaging...

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Working With RISC-V

RISC-V is coming on strong, but working with this open-source processor core isn’t as simple as plugging in a commercial piece of IP. Zdenek Prikryl, CTO at Codasip, talks about utilizing hypervisors...

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How To Boost ATE Power Supply Throughput

The test engineer’s job is not an easy one. There is constant pressure to improve system throughput. This white paper will guide you on how to increase throughput to reduce costs. Increased throughput...

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