Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...
A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...
The goal of this assignment is to implement high-performance CUDA kernels for tensor operations and integrate them with the MiniTorch framework. You will implement low-level operators in CUDA C++ and ...
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