Abstract: The data stored in submicron technology memories is prone to errors, due to which the reliability of data gained attention. The matrix codes are used in applications where the data needs ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

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We are in the process of adding the source code from all of the tutorials to a public GitHub repository. If anyone would like to contribute, please feel free! 2 - On ...

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CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

A new underground industry has emerged where people are buying raw compounds for Ozempic, Botox, filler and skin-tightening treatments directly from Chinese suppliers — and injecting them at ...

This story is a complementary profile to the 2025 Hypebeast100, our annual recognition of the creatives shaping fashion and culture today. Explore the full Hypebeast100 list, award winners, and this ...

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...