Sierra During Siting
Sierra 

Sierra, Livermore’s latest advanced technology high performance computing system, joined LLNL’s lineup of supercomputers in 2018. The new system provides computational resources that are essential for nuclear weapon scientists to fulfill the National Nuclear Security Administration’s stockpile stewardship mission through simulation in lieu of underground testing. Advanced Simulation and Computing (ASC) Program scientists and engineers will use Sierra to assess the performance of nuclear weapon systems as well as nuclear weapon science and engineering calculations. These calculations are necessary to understand key issues of physics, the knowledge of which later makes its way into the integrated design codes. This work on Sierra has important implications for other global and national challenges such as nonproliferation and counterterrorism.

The IBM-built Sierra supercomputer is providing over six times the sustained throughput performance and over five times the sustained scalable science performance of Sequoia, with a 125 petaflops peak. Sierra, which combines two types of processor chips — IBM’s Power 9 processors and NVIDIA’s Volta graphics processing units, is over five times more power efficient than Sequoia, with a peak power consumption of approximately 11 megawatts. 

Additional Resources

For the Public

For Users

*Login nodes: sierra[4358-4362]
NOTE: most numbers are for compute nodes only - not login or service nodes.

**NOTE: System memory on Sierra is more accurately reflected as: 1.29 PiB

Zone
SCF
Vendor
IBM
User-Available Nodes
Login Nodes*
5
Total Nodes
4,474
CPUs
CPU Architecture
IBM Power9
Cores/Node
44
Total Cores
190,080
GPUs
GPU Architecture
NVIDIA V100 (Volta)
Total GPUs
4,320
GPU peak performance (TFLOP/s double precision)
7.00
Memory Total (GB)
1,382,400
CPU Memory/Node (GB)
256
Peak Performance
Peak TFLOPS (CPUs)
4,666.0
Peak TFLOPs (GPUs)
120,960.0
Peak TFLOPS (CPUs+GPUs)
125,626.00
Peak single CPU memory bandwidth (GB/s)
170
OS
RHEL
Interconnect
IB EDR
Recommended location for parallel file space
Program
ASC
Year Commissioned
2018
Compilers
Documentation