tag: Tsinghua University

Rotating neurons for all-analog implementation of cyclic reservoir computing
By Technical Paper Link - 23 Mar, 2022 - Comments: 0

Abstract "Hardware implementation in resource-efficient reservoir computing is of great interest for neuromorphic engineering. Recently, various devices have been explored to implement hardware-based reservoirs. However, most studies were mainly focused on the reservoir layer, whereas an end-to-end reservoir architecture has yet to be developed. Here, we propose a versatile method for implemen... » read more

Technical Paper Round-Up: March 22
By Linda Christensen - 22 Mar, 2022 - Comments: 0

New memories, materials, and transistor types, and processes for making those devices, highlighted the past week's technical papers. That includes everything from vertical MoS2 to programmable black phosphorus image sensors and photonic lift-off processes for flexible thin-film materials. Papers continue to flow from all parts of the supply chain, with some new studies out of Pakistan, Seoul... » read more

Vertical MoS2 transistors with sub-1-nm gate lengths
By Technical Paper Link - 15 Mar, 2022 - Comments: 0

Abstract "Ultra-scaled transistors are of interest in the development of next-generation electronic devices. Although atomically thin molybdenum disulfide (MoS2) transistors have been reported, the fabrication of devices with gate lengths below 1 nm has been challenging. Here we demonstrate side-wall MoS2 transistors with an atomically thin channel and a physical gate length of sub-1 nm ... » read more

Power/Performance Bits: Oct. 19
By Jesse Allen - 19 Oct, 2021 - Comments: 0

Post-quantum crypto chip Researchers at the Technical University of Munich (TUM) designed and had fabricated an ASIC to run new encryption algorithms that can stand up to quantum computing. “Ours is the first chip for post-quantum cryptography to be based entirely on a hardware/software co-design approach,” said Georg Sigl, Professor of Security in Information Technology at TUM. “As a... » read more

NN-Baton: DNN Workload Orchestration & Chiplet Granularity Exploration for Multichip Accelerators
By Technical Paper Link - 14 Jun, 2021 - Comments: 0

"Abstract—The revolution of machine learning poses an unprecedented demand for computation resources, urging more transistors on a single monolithic chip, which is not sustainable in the Post-Moore era. The multichip integration with small functional dies, called chiplets, can reduce the manufacturing cost, improve the fabrication yield, and achieve die-level reuse for different system scales... » read more

Power/Performance Bits: March 23
By Jesse Allen - 23 Mar, 2021 - Comments: 0

Metasurface for optical media Researchers at Purdue University proposed a new way to store information in optical media, such as CDs and DVDs, that could improve both storage capacity and read times. The development focuses on encoding information in the angular position of tiny antennas, allowing them to store more data per unit area. "The storage capacity greatly increases because it is o... » read more

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud
By Technical Paper Link - 06 Mar, 2021 - Comments: 0

SOURCE: Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang(Tsinghua University, Beijing, China).  Published on arXiv:2003.12101 [cs.DC])   ABSTRACT: "FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accel... » read more

Power/Performance Bits: Sept. 22
By Jesse Allen - 22 Sep, 2020 - Comments: 0

Drawing sensors on skin Researchers from the University of Houston and University of Chicago created an ink pen that can draw multifunctional sensors and circuits directly on skin. These "drawn-on-skin electronics" aim to provide more precise health data, free of the artifacts that are associated with wearable devices and flexible electronic patches. Caused when the sensor doesn't move prec... » read more

New Ways To Optimize Machine Learning
By Bryon Moyer - 02 Apr, 2020 - Comments: 1

As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

Manufacturing Bits: Aug. 27
By Mark LaPedus - 27 Aug, 2019 - Comments: 0

Holographic lithography Switzerland’s Nanotech SWHL GmbH has come out of stealth mode and disclosed its initial technology—a holographic lithography system. Founded in 2015, Nanotech SWHL has developed a sub-wavelength holographic lithography system that generates and prints 3D images on surfaces with one mask at one exposure. Still in R&D, the system is initially targeted for advanced ... » read more

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