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PROJECTS
Variorum logo on a cream background

Variorum

Collecting variants in low-level hardware features across multiple GPU and CPU architectures.

graph showing improved performance data points

SCR

With SCR, jobs run more efficiently, recover more work upon failure, and reduce load on critical shared resources.

unify fs logo

UnifyFS

This open-source file system framework accelerates hierarchical HPC I/O operations with effective, efficient use of node-local storage.

PEOPLE
Brian Van Essen and Bronis de Supinski in front of SambaNova systems

Bronis de Supinski

As CTO of Livermore Computing, de Supinski is responsible for formulating, overseeing, and implementing LLNL’s large-scale computing strategy, requiring managing multiple collaborations with the…

Maya Gokhale

Maya Gokhale

An LLNL Distinguished Member of Technical Staff, Gokhale is considered an expert in her field, and continues to enjoy the fast pace of innovation and change in computing.

Chen Wang in front of fall-colored trees

Chen Wang

As Computing’s sixth Fernbach Fellow, postdoctoral researcher Chen Wang will work on a new I/O programming paradigm and improve HPC storage consistency models under the mentorship of Kathryn…

NEWS
DOE secretary and LLNL officials in the machine room

DOE Secretary Wright gets up-close look at innovation in action during LLNL visit

Wright’s day-long visit—his first to LLNL since being appointed Energy secretary—included behind-the-scenes tours of some of LLNL’s most advanced facilities and machines, from the National Ignition Facility to El Capitan, the world’s most powerful supercomputer.

four people in NIF hard hats

U.S. Energy Secretary Wright visits LLNL

Wright’s daylong visit included briefings and discussions with LLNL experts in key mission areas including stockpile modernization, fusion energy, AI, cybersecurity and supercomputing.

Proteus code snippets showing how the user annotates host functions and device kernel functions

Proteus arrives just in time for faster HPC code compilation

A new just-in-time compilation approach leverages LLVM intermediate representation to optimize GPU kernels with portability to any GPU architecture.