Tag: High Performance Computing
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New model bridges ferroelectric physics and circuit modeling
Circuit designers can now accurately predict ferroelectric behavior under real-world voltages, helping simulate chip performance for next-generation AI computing.
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A hardware-software co-design to efficiently run AI on edge devices
Adjusting state space models to work with a compute-in-memory architecture demonstrated energy-efficient processing of continuous event sequences.
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Memristor demonstrates use in fully analog hardware-based neural network
The crossbar array memristor made of bismuth selenide (Bi2Se3) sandwiched between gold and titanium electrodes is analog tunable, retention stable and regulator-free in circuit
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How to improve AI energy efficiency with open-source tools: Q&A with Mosharaf Chowdhury
Any company could use our tools to measure and optimize their AI models and reduce AI energy use.
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Autonomy from the inside out
A look at the next-gen semiconductors we need to power tomorrow’s fully self-driving vehicles
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AI, computation and scientific discovery: A Q&A with Karthik Duraisamy
The director of the Michigan Institute for Computational Discovery and Engineering discusses the institute’s past and future.
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First programmable memristor computer aims to bring AI processing down from the cloud
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
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New $32M center reimagines how computers are designed
‘You shouldn’t need a Ph.D. to design new computing systems.’