PNNL

PNNL @ CBDS&T 2022

PNNL researchers will be presenting and leading discussions during the Chemical and Biological Defense Science and Technology Conference.

PNNL Researchers to Speak About Genesis Mission at National Science Bowl

PNNL’s Robert Rallo and Nathan Hodas speak to students about the future of AI.

Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning

cuAlign: Scalable Network Alignment on GPU Accelerators

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures

GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism

Filtering higher-order datasets

GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover

Malicious Cyber Activity Detection using Zigzag Persistence

A General Spatiotemporal Imputation Framework for Missing Sensor Data