Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...
This repository contains the experimental code and raw results used in the study: "Time, Space and Energy Complexity Analysis of Sorting and Matrix Multiplication Algorithms" The project evaluates ...
Matrix multiplication is expensive O(n^3) operations! But what if we could verify the result without doing the full computation? I implemented Freivalds' algorithm in C to probabilistically verify ...
DeepSeek researchers are trying to solve a precise issue in large language model training. Residual connections made very deep networks trainable, hyper connections widened that residual stream, and ...
Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...
Abstract: Digital Signal Processors (DSPs) rely on VLIW and SIMD architectures to provide significant advantages in real-time, low-power computation. The efficient implementation of matrix LU ...
Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.