HPC and Computational Science
The rise of high-performance computing (HPC) over many decades has led to remarkable advances in all areas of science and engineering. More recently, advances in HPC underly the “big data” revolution and the exciting era of AI and machine learning that now impacts every sector of society.
Virginia Tech has a long tradition of high-impact research and education in HPC systems, algorithms, and software. We also have several faculty members who work on exciting “computational science” problems, where HPC systems are used to do simulation-based studies of complex systems.
Virginia Tech computer science faculty and students regularly participate in premier conferences such as The International Conference for High Performance Computing, Networking, Storage, and Analysis and the SIAM Conference on Computational Science and Engineering.
Here are some ongoing research projects related to HPC and Computational Science.
- MATLODE, DATeS, and other projects from the Computational Science Lab
- mpiBLAST, OpenDwarfs, CU2CL, and other projects from the Synergistic Environments for Experimental Computing
- The Green500
- Pythia, Metis, and other projects from the Distributed Systems & Storage Lab
- VarSys, SeeMore, and other projects from the Scalable Performance Laboratory