Abstract: A high-performance Deep Neural Network (DNN) model is a valuable intellectual property (IP) since designing and training such a model from scratch is very costly. Model transfer learning, ...

Abstract: Split inference facilitates deep neural network (DNN) inference tasks at resource-constrained edge devices. However, a pre-determined split configuration of a DNN limits the inference ...

To effectively utilize heterogeneous specialized hardware units in modern GPUs, such as TensorCores and Tensor Memory Accelerators, this paper introduces PipeThreader, a new DNN compiler. PipeThreader ...

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Denison Mines Corp. engages in the exploration and development of uranium. The firm has interests in the Athabasca Basin, Wheeler River, Midwest Project, McClean Lake, and Waterbury Lake. The company ...

Current state-of-the-art employs approximate multipliers to address the highly increased power demands of DNN accelerators. However, evaluating the accuracy of approximate DNNs is cumbersome due to ...

As of December 31, 2025, Denison Mines Corp. had a $2.4 billion market capitalization, putting it in the 58th percentile of companies in the Oil, Gas & Consumable Fuels industry. Denison Mines Corp.

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.