tag: Sandia National Labs

Chip Industry Week In Review
By The SE Staff - 11 Oct, 2024 - Comments: 0

Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

Chip Industry’s Technical Paper Roundup: Nov. 21
By Linda Christensen - 21 Nov, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=65 /] » read more

Stabilizing A Hafnium Oxide-Based Thin Film When Sandwiched Between A Metal Substrate And An Electrode
By Technical Paper Link - 17 Nov, 2022 - Comments: 0

A technical paper titled "Origin of Ferroelectric Phase Stabilization via the Clamping Effect in Ferroelectric Hafnium Zirconium Oxide Thin Films" was published by researchers at University of Virginia, Brown University, Sandia National Labs, and Oak Ridge National Lab. Funding was given by U.S. DOE's 3D Ferroelectric Microelectronics Energy Frontier Research Center and the SRC. "This study ... » read more

Chip Industry’s Technical Paper Roundup: Oct 18
By Linda Christensen - 18 Oct, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=57 /] » read more

Transistor-Free Compute-In-Memory Architecture
By Technical Paper Link - 11 Oct, 2022 - Comments: 0

A new technical paper titled "Reconfigurable Compute-In-Memory on Field-Programmable Ferroelectric Diodes" was recently published by researchers at University of Pennsylvania, Sandia National Labs, and Brookhaven National Lab. The compute-in-memory design is different as it is completely transistor-free. “Even when used in a compute-in-memory architecture, transistors compromise the access... » read more

The Race To Make Better Qubits
By Katherine Derbyshire - 18 Nov, 2021 - Comments: 0

One of the big challenges in quantum computing is getting qubits to last long enough to do something useful with them. After decades of research, there now appears to be tangible progress. The challenge with any new semiconductor technology is to improve performance by one or more orders of magnitude without discarding a half-century of progress in other areas. Qubits based on silicon quantu... » read more

Big Changes For eFPGAs
By Ed Sperling - 11 May, 2020 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks with Semiconductor Engineering about the state of embedded FPGAs, why this is easier for some companies than others, why this is important for adding flexibility into an ASIC, and what are the main applications for this technology. » read more

More Multiply-Accumulate Operations Everywhere
By Ed Sperling - 02 Apr, 2020 - Comments: 1

Geoff Tate, CEO of Flex Logix, sat down with Semiconductor Engineering to talk about how to build programmable edge inferencing chips, embedded FPGAs, where the markets are developing for both, and how the picture will change over the next few years. SE: What do you have to think about when you're designing a programmable inferencing chip? Tate: With a traditional FPGA architecture you ha... » read more

Manufacturing Bits: June 4
By Mark LaPedus - 04 Jun, 2019 - Comments: 0

Chiplet printer A number of companies, R&D organizations and universities separately presented a slew of papers and technologies at the recent IEEE Electronic Components and Technology Conference (ECTC) in Las Vegas. It’s difficult to write about all of the papers at ECTC. But one paper that stood out is a prototype chiplet micro-assembly printer developed by the Palo Alto Research Cente... » read more

System Bits: Feb. 21
By Ann Mutschler - 21 Feb, 2017 - Comments: 0

Recreating the brain Stanford University and Sandia National Laboratories researchers have created an organic, high-performance, low-energy artificial synapse for neural network computing that aims to better recreate the way the human brain processes information, and could also lead to improvements in brain-machine technologies. Alberto Salleo, associate professor of materials science and e... » read more

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