6 papers
From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
Yubo Song, Rui Kong, Takuro Umihara +3
The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy av…
Unlocking Innate Computing Abilities in Electric Grids
Yubo Song, Subham Sahoo
Electric power grids are engineered energy systems whose forward electrical responses embody high-dimensional and memory-bearing transformations of input signals. In this work, we…
Carbon and Reliability-Aware Computing for Heterogeneous Data Centers
Yichao Zhang, Yubo Song, Subham Sahoo
The rapid expansion of data centers (DCs) has intensified energy and carbon footprint, incurring a massive environmental computing cost. While carbon-aware workload migration strat…
Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
Yubo Song, Subham Sahoo
Emerging distributed generation demands highly reliable and resilient coordinating control in microgrids. To improve on these aspects, spiking neural network is leveraged, as a gri…
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
Xiaoguang Diao, Yubo Song, Subham Sahoo
In this paper, we infer remote measurements such as remote voltages and currents online with change in AC power flows using spiking neural network (SNN) as grid-edge technology for…
On Noise Resiliency of Neuromorphic Inferential Communication in Microgrids
Yubo Song, Subham Sahoo, Xiaoguang Diao
Neuromorphic computing leveraging spiking neural network has emerged as a promising solution to tackle the security and reliability challenges with the conventional cyber-physical…