tag: machine learning

A Framework For Ultra Low-Power Hardware Accelerators Using NNs For Embedded Time Series Classification
By Fraunhofer IIS/EAS - 09 Mar, 2022 - Comments: 0

In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quantization of the NN or analog calculation of arithmetic operations. However, there is no holistic approach for a complete embedded system design ... » read more

Machine Learning Showing Up As Silicon IP
By Bryon Moyer - 03 Mar, 2022 - Comments: 0

New machine-learning (ML) architectures continue to appear. Up to now, each new offering has been implemented in a chip for sale, to be placed alongside host processors, memory, and other chips on an accelerator board. But over time, more of this technology could be sold as IP that can be integrated into a system-on-chip (SoC). That trend is evident at recent conferences, where an increasing... » read more

Why RISC-V Is Succeeding
By Brian Bailey - 24 Feb, 2022 - Comments: 5

There is no disputing the excitement surround the introduction of the RISC-V processor architecture. Yet while many have called it a harbinger of a much broader open-source hardware movement, the reasons behind its success are not obvious, and the implications for an expansion of more open-source cores is far from certain. “The adoption of RISC-V as the preferred architecture for many sili... » read more

Addressing Library Characterization And Verification Challenges Using ML
By Siemens EDA - 23 Feb, 2022 - Comments: 0

At advanced process nodes, Liberty or library (.lib) requirements are more demanding due to design complexities, increased number of corners required for timing signoff, and the need for statistical variation modeling. This results in an increase in size, complexity, and the number of .lib characterizations. Validation and verification of these complex and large .lib files is a challenging task... » read more

Technology Advances, Shortages Seen For Wire Bonders
By Mark LaPedus - 17 Feb, 2022 - Comments: 2

A surge in demand for IC packages is causing long lead times for wire bonders, which are used to assemble three-fourths of the world’s packages. The wire bonder market doubled last year, alongside advanced packaging’s rise. Wirebonding is an older technology that typically flies under the radar. Still, packaging houses have multitudes of these key tools that help assemble many — but no... » read more

Improving PPA In Complex Designs With AI
By John Koon - 14 Feb, 2022 - Comments: 0

The goal of chip design always has been to optimize power, performance, and area (PPA), but results can vary greatly even with the best tools and highly experienced engineering teams. Optimizing PPA involves a growing number of tradeoffs that can vary by application, by availability of IP and other components, as well as the familiarity of engineers with different tools and methodologies. Fo... » read more

Enhancing Datasets For Artificial Intelligence Through Model-Based Methods
By Dirk Mayer - 10 Feb, 2022 - Comments: 0

By Dirk Mayer and Ulf Wetzker Industrial plants and processes are now digitized and networked, and AI can be used to evaluate the data generated by those facilities to increase productivity and quality. Machine learning (ML) methods can be applied to: Product quality classification in complex production processes. Condition monitoring of technical systems, which is used, for examp... » read more

Why Data Center Power Will Never Come Down
By Bryon Moyer - 10 Feb, 2022 - Comments: 3

Data centers have become significant consumers of energy. In order to deal with the proliferation of data centers and the servers within them, there is a big push to reduce the energy consumption of all data center components. With all that effort, will data center power really come down? The answer is no, despite huge improvements in energy efficiency. “Keeping data center power consum... » read more

Technology Advancements For Dynamic Function eXchange In Vivado ML Edition
By Xilinx - 08 Feb, 2022 - Comments: 0

As systems become more complex and designers are asked to do more with less, adaptability is a critical asset. While Xilinx FPGAs and SoCs always provided the flexibility to perform on-site device reprogramming, current constraints including increased cost, tighter board space, and power consumption demand even more efficient design strategies. Xilinx Dynamic Function eXchange (DFX) extends the... » read more

ML Focus Shifting Toward Software
By Bryon Moyer - 03 Feb, 2022 - Comments: 1

New machine-learning (ML) architectures continue to garner a huge amount of attention as the race continues to provide the most effective acceleration architectures for the cloud and the edge, but attention is starting to shift from the hardware to the software tools. The big question now is whether a software abstraction eventually will win out over hardware details in determining who the f... » read more

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