Manufacturing Bits: Sept. 14

By Mark LaPedus - 14 Sep, 2021 - Comments: 0

Probabilistic computers Sandia National Laboratories and others are developing what researchers call a probabilistic computer. Instead of traditional computing, Sandia is developing a system with built-in randomness that computes information differently every time. As part the research program, the Department of Energy awarded the project $6 million over the next three years to develop t... » read more

Week In Review: Manufacturing, Test

By Mark LaPedus - 02 Jul, 2021 - Comments: 0

Chipmakers and OEMs More delays and product woes at Intel. “INTC disclosed that it is delaying the launch of its next-generation Xeon server processor Sapphire Rapids (10nm) from the end of this year to 1Q22 due to additional validation needed for the chip,” said John Vinh, an analyst at KeyBanc, in a research note. “Production is expected to begin in 1Q22, with the ramp expected to begi... » read more

Manufacturing Bits: March 30

By Mark LaPedus - 30 Mar, 2021 - Comments: 0

Open access quantum computing Sandia National Laboratories has begun offering an open access program for its quantum computing testbed. Sandia will enable researchers to explore a range of new technologies, such as chemistry, materials science and mathematics, using its so-called Quantum Scientific Computing Open User Testbed (QSCOUT). Quantum computers promise to solve problems that are to... » read more

Manufacturing Bits: March 16

By Mark LaPedus - 16 Mar, 2021 - Comments: 0

Tripping up neural networks For years, Russia has been an active area in R&D. In one example, Russia's Skolkovo Institute of Science and Technology (Skoltech) has demonstrated how certain patterns can cause neural networks to make mistakes in recognizing images. Leveraging the theory behind this research, Skoltech can design defenses for pattern recognition systems that are vulnerable t... » read more

Power/Performance Bits: Feb. 2

By Jesse Allen - 02 Feb, 2021 - Comments: 0

MXene antennas Researchers at Drexel University and Villanova University developed spray-on antennas made of the 2D materials MXene that is flexible and light while maintaining good signal. "This combination of communications performance with extreme thinness, flexibility and durability sets a new standard for antenna technology," said Yury Gogotsi, professor of Materials Science and Engine... » read more

Power/Performance Bits: Jan. 26

By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

Manufacturing Bits: Dec. 29

By Mark LaPedus - 29 Dec, 2020 - Comments: 1

Chiplet-based exascale computers At the recent IEEE International Electron Devices Meeting (IEDM), CEA-Leti presented a paper on a 3D chiplet technology that enables exascale-level computing systems. The United States and other nations are working on exascale supercomputers. Today’s supercomputers are measured in floating point operations per second. The world’s fastest supercomputers c... » read more

Manufacturing Bits: Dec. 7

By Mark LaPedus - 07 Dec, 2020 - Comments: 0

Cybersecurity for manufacturing The University of Texas at San Antonio (UTSA) has launched a center to address cybersecurity issues in the U.S. manufacturing sector. The center, called the Cybersecurity Manufacturing Innovation Institute (CyManII), is a $111 million public-private partnership. As part of the effort, UTSA will enter into a five-year corporative agreement with the U.S. Depart... » read more

Spiking Neural Networks Place Data In Time

By Katherine Derbyshire - 16 Jul, 2020 - Comments: 0

Artificial neural networks have found a variety of commercial applications, from facial recognition to recommendation engines. Compute-in-memory accelerators seek to improve the computational efficiency of these networks by helping to overcome the von Neumann bottleneck. But the success of artificial neural networks also highlights their inadequacies. They replicate only a small subset of th... » read more

Manufacturing Bits: March 9

By Mark LaPedus - 09 Mar, 2020 - Comments: 0

Finding cures for coronavirus The Department of Energy’s Oak Ridge National Laboratory (ORNL) is using the world’s most powerful supercomputer to identify drug compounds and cures for the coronavirus. [caption id="attachment_24162601" align="alignleft" width="300"] Summit supercomputer. Source: Oak Ridge National Laboratory[/caption] The supercomputer, called Summit, has identified 7... » read more

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

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