Zhuozhao Li

Performance Measurement on Scale-Up and Scale-Out Hadoop with Remote and Local File Systems

2016

MapReduce is a popular computing model for parallel data processing on large-scale datasets, which can vary from gigabytes to terabytes and petabytes. Though Hadoop MapReduce normally uses Hadoop Distributed File System (HDFS) local file system, …

Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration

2025 · arXiv (Cornell University)

Tree-based Genetic Programming (TGP) is a widely used evolutionary algorithm for tasks such as symbolic regression, classification, and robotic control. Due to the intensive computational demands of running TGP, GPU acceleration is crucial for achieving …