TorchStore provides a distributed, asynchronous tensor storage system built on top of Monarch actors. It enables efficient storage and retrieval of PyTorch tensors across multiple processes and nodes ...
Abstract: The tensor train (TT) is a popular way of representing high-dimensional hyper-rectangular data structures called tensors. It is widely used, for example, in quantum chemistry under the name ...
Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur ...
Abstract: We introduce a novel tensor contraction processor (TCP) architecture that offers a paradigm shift from traditional architectures that rely on fixed-size matrix multiplications. TCP aims at ...
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