Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

Implements Task 1. This is the sequential, single-threaded version of batch gradient descent for linear regression. It processes the entire dataset in one thread, computes gradients serially, and ...

Abstract: The large scale floating point matrix operations are widely used in numerical analysis, image processing and signal processing. This paper studies the design and implementation of the ...