Topic: Power Management

Two LLNL teams have come up with ingenious solutions to a few of the more vexing difficulties. For their efforts, they’ve won awards coveted by scientists in the technology fields.

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

LLNL’s HPC capabilities play a significant role in international science research and innovation, and Lab researchers have won 10 R&D 100 Awards in the Software–Services category in the past decade.

With this year’s results, the Lab has now collected a total of 179 R&D 100 awards since 1978. The awards will be showcased at the 61st R&D 100 black-tie awards gala on Nov. 16 in San Diego.

LLNL's zfp and Variorum software projects are winners. LLNL is a co-developing organization on the winning CANDLE project.

Variorum provides robust, portable interfaces that allow us to measure and optimize computation at the physical level: temperature, cycles, energy, and power. With that foundation, we can get the best possible use of our world-class computing resources.

LLNL participates in the ISC High Performance Conference (ISC23) on May 21–25.

Supercomputers broke the exascale barrier, marking a new era in processing power, but the energy consumption of such machines cannot run rampant.

Highlights include scalable deep learning, high-order finite elements, data race detection, and reduced order models.

Highlights include the latest work with RAJA, the Exascale Computing Project, algebraic multigrid preconditioners, and OpenMP.

libMSR provides a convenient interface to access Model Specific Registers and to allow tools to utilize their full functionality.

These techniques emulate the behavior of anticipated future architectures on current machines to improve performance modeling and evaluation.