tag: neural networks

High Neural Inferencing Throughput At Batch=1
By Geoff Tate - 06 Dec, 2018 - Comments: 0

Microsoft presented the following slide as part of their Brainwave presentation at Hot Chips this summer: In existing inferencing solutions, high throughput (and high % utilization of the hardware) is possible for large batch sizes: this means that instead of processing say one image at a time, the inferencing engine processes say 10 or 50 images in parallel. This minimizes the number of... » read more

Inferencing In Hardware
By Ed Sperling - 06 Dec, 2018 - Comments: 0

Cheng Wang, senior vice president of engineering at Flex Logix, examines shifting neural network models, how many multiply-accumulates are needed for different applications, and why programmable neural inferencing will be required for years to come. https://youtu.be/jb7qYU2nhoo         See other tech talk videos here. » 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 Chip Architectures Race To The Edge
By Kevin Fogarty - 28 Nov, 2018 - Comments: 0

As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

The Week In Review: Design
By Jesse Allen - 02 Nov, 2018 - Comments: 0

M&A GlobalFoundries formed Avera Semiconductor, a wholly-owned subsidiary focused on custom ASIC designs. While Avera will use its relationship with GF for 14/12nm and more mature technologies, it has a foundry partnership lined up for 7nm. The new company's IP portfolio includes high-speed SerDes, high-performance embedded TCAMs, ARM cores and performance and density-optimized embedded SR... » read more

Real-Time Object Recognition At Low Cost/Power/Latency
By Geoff Tate - 01 Nov, 2018 - Comments: 0

Most neural network chips and IP talk about ResNet-50 benchmarks (image classification at 224x224 pixels). But we find that the number one neural network of interest for most customers is real-time object recognition, such as YOLOv3. It's not possible to do comparisons here because nobody shows a YOLOv3 benchmark for their inferencing. But it's very possible to improve on the inferencing per... » read more

System Bits: Oct. 30
By Ann Mutschler - 30 Oct, 2018 - Comments: 0

Ethics, regional differences for programming autonomous vehicles MIT researchers have revealed some distinct global preferences concerning the ethics of autonomous vehicles, as well as some regional variations in those preferences based on a recently completed survey. [caption id="attachment_24139620" align="alignleft" width="300"] Ethical questions involving autonomous vehicles are the foc... » read more

Implementing Mathematical Algorithms In Hardware For Artificial Intelligence
By John Swanson - 25 Oct, 2018 - Comments: 0

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many operations that the processing unit would have to execute. As the mathematical algorithms used in AI-based systems evolve, and in some cases stabilize, the demand to implement them in hardware increase... » read more

Machine Learning Invades IC Production
By Mark LaPedus - 18 Oct, 2018 - Comments: 0

Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

Processors Are Exciting Again
By Lazaar Louis - 11 Oct, 2018 - Comments: 0

Today is a very exciting time in the world of processor architectures. Domain-specific processor architectures are now fully realized as the best answers to the challenges of low power and high performance for many applications. Advancements in artificial intelligence are leading the way to exciting new experiences and products today and in our future. There have been more advances in deep lear... » read more

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