The Computational Science Laboratory, a collaborative laboratory for
advanced algorithm development and optimization led by Brookhaven computer
scientist Nicholas D’Imperio, brings together expertise in high-performance
computing (HPC), math, and domain science. It
specifically addresses the challenge of developing new tools and techniques to
deliver on the promise of exascale science—the ability to compute at a rate
of 10^{18} (a billion billion) floating point operations per second (exaFLOPS).
These computation rates are necessary to handle the copious amount of data
created by computational models and simulations. The Computational Science
Laboratory employs exascale computation to interpret and analyze
exascale data anticipated from experiments on the horizon.

Without these tools, scientific results would remain hidden in the data generated by these simulations. These tools enable researchers to extract knowledge and share key findings.

- GPU Research Center
- Exascale Performance Portability Strategies for HPC Applications
- Spherically Imploding Plasma Liners as a Standoff Magneto-Inertial-Fusion Driver

(PLX-Alpha Collaboration) - Simulation Studies of Novel Methods for Cooling of Relativistic Particle Beams
- Center for Computational Design of Functional Strongly Correlated Materials and Theoretical Spectroscopy
- SunShot: Multi-Scale Prediction of Photovoltaic System Performance for Smart Grid Integration
- Quantum Espresso GPU Code Development