These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...

A new method has been developed to rapidly simulate array laterolog (ALL) responses in invaded formations drilled by deviated wells. This method is characterized by two key aspects: simplification of ...

For anyone who thought designs for LNG carriers had resolved into a standard that would only change with small tweaks, they only had to take a stroll around the vast halls at the Gastech exhibition ...

Abstract: Large-scale floating-point matrix multiplication is a fundamental kernel in many scientific and engineering applications. Most existing work only focus on accelerating matrix multiplication ...

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🇺🧮️ ️⚫️ The official source repository for the UCALC (Ultimate Calculator) Multiplication with decimals calculator mode project.

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Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results ...

Matrix multiplication (MatMul) is a fundamental operation in most neural networks, primarily because GPUs are highly optimized for these computations. Despite its critical role in deep learning, ...