Analyze the effects on eye diagrams, BER, and timing margins by integrating advanced equalization algorithms into channel ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Abstract: In a traditional serial approach to dictionary attacks, passwords are tested one after another. That is, the next password in the list is attempted only after the current one has been fully ...

This project benchmarks XGBoost and PyTorch models for binary classification across serial CPU, parallel CPU, and GPU setups. Parallel XGBoost achieved the fastest training time without loss in ...

Abstract: For processing on image, operations have to be performed on each pixel. If this operations are performed sequentially it will take too much time. So to reduce the time, there is need of ...

ABSTRACT: The stock returns are vulnerable to manipulation of peculiar forms. We propose a novel method, the Intelligent Portfolio Performance Optimization System—IPPOS that extracts hidden patterns ...

This useful study addresses the interesting and challenging problem of how neural networks (including possibly the brain) can optimize performance while multi-tasking. The authors address this problem ...

🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.