If you grew up attending public school, your classroom walls were probably decorated with student artwork, maps, ...
Abstract: We consider the problem of secure distributed matrix multiplication (SDMM) in which a user wishes to compute the product of two matrices with the assistance of honest but curious servers. We ...
Abstract: Arbitrary-precision integer multiplication is the core kernel of many applications including scientific computing, cryptographic algorithms, etc. Existing acceleration of arbitrary-precision ...
Large language models (LLMs) excel in language tasks but struggle on resource-constrained devices due to high memory demands and latency from dense multiplications. Shift-and-add reparameterization ...
Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...
I was bad at multiplication when I was in elementary school myself, so I was worried about whether my daughters would be okay... For someone as shy as I was (though my daughters now call me a ...
KASHIHARA, Nara -- A wooden tablet unearthed in 2001 from the ruins of Japan's late seventh to early eighth century capital Fujiwara-kyo here was part of a multiplication table chart used by ...
Abstract: Recent video recognition models utilize Transformer models for long-range spatio-temporal context modeling. Video transformer designs are based on self-attention that can model global ...
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