
Derived Field Generation
Livermore computer scientists have helped create a flexible framework that aids programmers in creating source code that can be used effectively on multiple hardware architectures.

Memory-Centric Architectures
A new, complex memory/storage hierarchy is emerging, with persistent memories offering greatly expanded capacity, and augmented by DRAM/SRAM cache and scratchpads to mitigate latency.

Road to El Capitan 1: It takes a village
This is the first article in a five-part series about Livermore Computing’s efforts to stand up the NNSA’s first exascale supercomputer. El Capitan will come online in 2024 with the processing power of more than 2 exaflops, or 2 quintillion (1018) calculations per second.

Road to El Capitan 4: Storage in the exascale era
This is the fourth article in a five-part series about Livermore Computing’s efforts to stand up the NNSA’s first exascale supercomputer. El Capitan will come online in 2024 with the processing power of more than 2 exaflops, or 2 quintillion (1018) calculations per second.

Visionary report unveils ambitious roadmap to harness the power of AI in scientific discovery
The report lays out a comprehensive vision for the DOE Office of Science and NNSA to expand their work in scientific use of AI by building on existing strengths in world-leading high performance computing systems and data infrastructure.