tag: Emory University

Chip Industry Technical Paper Roundup: Oct. 22
By Linda Christensen - 22 Oct, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library: [table id=371 /]   More Reading Chip Industry Week In Review AI CPU chiplet platform; Intel-AMD pact; GDDR7 DRAM; AI-RFIC funding; CHIPS Act awards; NoC tiling; thermal modeling on chiplets; $900M nuclear tech and more. Technical Paper Library home » read more

GPUs: Bandit Based Framework To Dynamically Reduce Energy Consumption
By Technical Paper Link - 17 Oct, 2024 - Comments: 0

A new technical paper titled "Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach" was published by researchers at Illinois Institute of Technology, Argonne National Lab and Emory University. Abstract "Energy consumption has become a critical design metric and a limiting factor in the development of future computing architectures, from small wearable devices to large-scale lea... » read more

Research Bits: Aug. 5
By Jesse Allen - 05 Aug, 2024 - Comments: 0

Measuring temperature with neutrons Researchers from Osaka University, National Institutes for Quantum Science and Technology, Hokkaido University, Japan Atomic Energy Agency, and Tokamak Energy developed a way to rapidly measure the temperature of electronic components inside a device using neutrons. The technique, called ‘neutron resonance absorption’ (NRA), examines neutrons being ab... » read more

System Bits: Aug. 5
By Jeff Dorsch - 05 Aug, 2019 - Comments: 0

Algorithm could advance quantum computing Scientists at the Los Alamos National Laboratory report the development of a quantum computing algorithm that promises to provide a better understanding of the quantum-to-classical transition, enabling model systems for biological proteins and other advanced applications. “The quantum-to-classical transition occurs when you add more and more parti... » read more

Manufacturing Bits: Aug. 7
By Mark LaPedus - 07 Aug, 2018 - Comments: 0

DNA ROMs The National Science Foundation (NSF) and the Semiconductor Research Corp. (SRC) are investing $12 million to develop a new class of memories and other technologies, such as DNA-based read-only memory (ROM), nucleic acid memory (NAM) and neural networks based on yeast cells. The effort is called the Semiconductor Synthetic Biology for Information Processing and Storage Technologies... » read more

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