Catalyst allows us to explore different approaches for utilizing large amounts of high performance non-volatile memory.
Matt Leininger, Livermore Computing
Catalyst Supercomputer


The 150 teraFLOP/s Catalyst is a unique high performance computing (HPC) cluster. Catalyst serves as a proving ground for new HPC and big data technologies, architectures, and applications. Developed by a partnership of Cray, Intel, and Lawrence Livermore, this Cray CS300 system is available for collaborative projects with industry through Livermore’s HPC Innovation Center. Catalyst also supports the LLNL’s Advanced Simulation and Computing program.

Catalyst features include 128 gigabytes of dynamic random access memory (DRAM) per node and 800 gigabytes of non-volatile memory (NVRAM) per compute node. The increased storage capacity of the system represents a major departure from classic simulation-based computing architectures common at Department of Energy laboratories. It also enables researchers to explore the potential of combining floating point-focused capability with data analysis in one environment.

In addition, the machine’s expanded DRAM and fast, persistent NVRAM are well-suited to solving big data problems, such as those found in the areas of bioinformatics, graph networks, machine learning, and natural language processing. Its capabilities are ideal for exploring new approaches to application checkpointing, in-situ visualization, out-of-core algorithms and data analytics. Catalyst should help extend the range of possibilities for the processing, analysis, and management of the complex data sets that many areas of business and science now confront.

Processor Architecture

12-core Intel Xeon E5-2695v2 processors

Operating System


Cluster/System Usage

capacity parallel computing

Processor Clock Rate/Process Clock Speed

2.4 GHz



Cores per Node

48 (login); 24 (compute)

Total Cores


Memory per Node

128 GB

Total Memory

41.5 TB