tag: GPUs

Benchmarks For The Edge
By Ed Sperling - 07 Feb, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about benchmarking in edge devices, particularly for convolutional neural networks. https://youtu.be/-beVEpKAM4M » read more

Unsticking Moore’s Law
By Ed Sperling - 04 Feb, 2019 - Comments: 2

Sanjay Natarajan, corporate vice president at Applied Materials with responsibility for transistor, interconnect and memory solutions, sat down with Semiconductor Engineering to talk about variation, Moore's Law, the impact of new materials such as cobalt, and different memory architectures and approaches. What follows are excerpts of that conversation. SE: Reliability is becoming more of an... » read more

The Data Deluge
By Ed Sperling - 23 Jan, 2019 - Comments: 0

Lip-Bu Tan, president and CEO of Cadence, sat down with Semiconductor Engineering to discuss the intersection of big data and technology, from the data center to the edge and vertical markets such as automotive. What follows are excerpts of that conversation. SE: What are the biggest changes you've seen over the past year? Tan: We are moving quickly toward data-driven economics. There... » read more

Looking Beyond The CPU
By Brian Bailey - 29 Nov, 2018 - Comments: 0

CPUs no longer deliver the same kind of of performance improvements as in the past, raising questions across the industry about what comes next. The growth in processing power delivered by a single CPU core began stalling out at the beginning of the decade, when power-related issues such as heat and noise forced processor companies to add more cores rather than pushing up the clock frequency... » read more

AI Begins To Reshape Chip Design
By Ed Sperling - 01 Nov, 2018 - Comments: 1

Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

From Physics To Applications
By Ed Sperling - 25 Oct, 2018 - Comments: 0

Jack Harding, president and CEO of eSilicon, sat down with Semiconductor Engineering to talk about the shift toward AI and advanced packaging, and the growing opportunities at 7nm at a time when Moore's Law has begun slowing down. What follows are excerpts of that conversation. SE: Over the past year, the industry has changed its focus from shrinking features and consolidation to all sorts o... » read more

Power Issues Grow For Cloud Chips
By Ann Steffora Mutschler - 11 Oct, 2018 - Comments: 0

Performance levels in traditional or hyperscale data centers are being limited by power and heat caused by an increasing number of processors, memory, disk and operating systems within servers. The problem is so complex and intertwined, though, that solving it requires a series of steps that hopefully add up to a significant reduction across a system. But at 7nm and below, predicting exactly... » read more

Using ASICs For AI Inferencing
By Ed Sperling - 10 Oct, 2018 - Comments: 0

Flex Logix’s Cheng Wang looks at why ASICs are the best way to improve performance and optimize power and area for inferencing, and how to add flexibility into those designs to deal with constantly changing algorithms and data sets. https://youtu.be/XMHr7sz9JWQ » read more

Intel’s Next Move
By Ed Sperling - 11 Sep, 2018 - Comments: 0

Gadi Singer, vice president and general manager of Intel's Artificial Intelligence Products Group, sat down with Semiconductor Engineering to talk about Intel's vision for deep learning and why the company is looking well beyond the x86 architecture and one-chip solutions. SE: What's changing on the processor side? Singer: The biggest change is the addition of deep learning and neural ne... » read more

AI Architectures Must Change
By Brian Bailey - 13 Aug, 2018 - Comments: 4

Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

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