https://www.nas.nasa.gov/hecc/support/kb/149/ https://www.nas.nasa.gov/hecc/support/kb/preparing-to-run-on-endeavour_652.html The Endeavour supercomputer comprises two nodes, Endeavour3 and Endeavour4. Each of the two systems includes 896 cores and six terabytes (TB) of global shared memory. See Endeavour Configuration Details for more hardware information. Endeavour 3... Systems Reference/Endeavour Wed, 04 Nov 2026 12:52:58 -0800 https://www.nas.nasa.gov/hecc/support/kb/nas-lustre-filesystems_225.html All NAS systems share several filesystems intended to provide working space for compute jobs. These filesystems, called "nobackup" (/nobackuppX), provide more than 90 petabytes (PB) of disk space and serve many thousands of cores. The /nobackup... Systems Reference/Filesystems Tue, 03 Nov 2026 11:15:02 -0800 https://www.nas.nasa.gov/hecc/support/kb/pbs-job-queue-structure_187.html Running Jobs on Athena To run a PBS job on the Athena compute nodes, submit the job from one of the Athena front-end systems (ATHFEs) to one of the queues managed by the PBS server pbs06a: devel, normal, long, and wide. Note: You cannot submit... Systems Reference/Athena Wed, 14 Oct 2026 13:50:20 -0700 https://www.nas.nasa.gov/hecc/support/kb/requesting-cabeus-gpu-resources_646.html The Cabeus cluster comprises two types of NVIDIA GPU nodes, including nodes with x86_64-based CPUs and nodes with aarch64-based CPUs. Note: You must have a Standard Billing Unit (SBU) allocation specifically for GPUs in order to use the GPU... Systems Reference/Cabeus Tue, 13 Oct 2026 11:49:45 -0700 https://www.nas.nasa.gov/hecc/support/kb/cabeus-gpu-nodes_298.html Cabeus, named after a lunar crater in the south polar region of the Moon, is a cluster system that supports HPC and machine learning/artificial intelligence (ML/AI) applications that can benefit from the GPU technology. GPU Hardware Summary The... Systems Reference/Cabeus Tue, 13 Oct 2026 11:32:01 -0700 https://www.nas.nasa.gov/hecc/support/kb/cuda-toolkit-and-cuda-driver_705.html CUDA stands for Compute Unified Device Architecture. It is a parallel computing platform and programming model created by NVIDIA in 2006 for accelerating computing on General-Purpose Graphics Processing Units (GPGPUs). This article provides a... Systems Reference/Cabeus Tue, 13 Oct 2026 11:30:27 -0700 https://www.nas.nasa.gov/hecc/support/kb/preparing-to-run-on-cabeus-grace-hopper-nodes_702.html Cabeus includes 538 GPU nodes based on the NVIDIA GH200 Grace Hopper Superchip. To help you prepare for running jobs on the Grace Hopper GPU nodes, this short user guide includes information on the general configuration of the nodes, compiling... Systems Reference/Cabeus Tue, 13 Oct 2026 09:47:41 -0700 https://www.nas.nasa.gov/hecc/support/kb/performance-analysis-of-your-gpu-cuda-kernels-with-nsight-compute-cli_706.html Nsight Compute is a tool that collects metrics via hardware counters and software instrumentations for deep-dive profiling and guided performance analysis of the CUDA kernels. GPU architectures supported by Nsight Compute started with the NVIDIA... Systems Reference/Cabeus Mon, 14 Sep 2026 17:31:34 -0700 https://www.nas.nasa.gov/hecc/support/kb/basics-on-nvidia-gpu-hardware-architecture_704.html This article provides basic hardware architecture information to help you get familiar with the NVIDIA A100 and H100 graphics proessing units (GPUs) used in the NAS GPU nodes (mil_a100 and gh200). Refer to the official guides from NVIDIA listed in... Systems Reference/Cabeus Mon, 14 Sep 2026 17:29:57 -0700 https://www.nas.nasa.gov/hecc/support/kb/simplifying-gpu-programming-with-unified-memory_703.html This article introduces the unified memory feature available in all of the NAS GPU nodes and describes how to take advantage of this feature to simplify GPU programming. Introduction In a heterogeneous compute system containing a CPU host and... Systems Reference/Cabeus Mon, 14 Sep 2026 17:28:15 -0700 https://www.nas.nasa.gov/hecc/support/kb/performance-analysis-of-your-gpu-applications-with-nsight-systems_701.html NVIDIA Nsight Systems is a low-overhead statistical sampling profiler with tracing features to check overall performance of your GPU applications. The Feature Table in Get Started with Nsight Systems provides a glimpse of its capabilities,... Systems Reference/Cabeus Mon, 14 Sep 2026 17:24:05 -0700 https://www.nas.nasa.gov/hecc/support/kb/compiling-cuda-applications-for-different-generations-of-nvidia-gpus-at-nas_700.html The NAS Cabeus cluster currently includes NVIDIA GPUs with the Ampere (mil_a100) and Hopper (gh200) microarchitectures. This article provides some information on the compute capability of the various microarchitectures and how to compile... Systems Reference/Cabeus Mon, 14 Sep 2026 17:21:02 -0700 https://www.nas.nasa.gov/hecc/support/kb/using-tmpdir-as-a-temporary-filesystem-for-gpu-jobs_687.html For single-node I/O that uses memory-based temporary filesystem, we recommend using a job-based temporary directory, $TMPDIR, instead of the node-wide /tmp directory. This recommendation is particularly important for jobs running on the NAS GPU... Systems Reference/Cabeus Mon, 14 Sep 2026 17:08:35 -0700 https://www.nas.nasa.gov/hecc/support/kb/preparing-to-run-on-cabeus-a100-gpu-nodes_686.html The Cabeus cluster comprises multiple NVIDIA GPU nodes, including: 128 nodes with Milan CPU and NVIDIA A100 GPUs (model=mil_a100) 350 nodes with NVIDIA GH200 Superchip (model=gh200) Among them, the gh200 nodes are served by their own front... Systems Reference/Cabeus Mon, 14 Sep 2026 17:06:11 -0700 https://www.nas.nasa.gov/hecc/support/kb/programming-for-nvidia-gpus_647.html UPDATE IN PROGRESS: On August 24, 2026, the Skylake/V100 and Cascade Lake/V100 nodes were decommissioned from the Cabeus supercomputer. This article is currently undergoing updates to reflect the changes in the NAS environment and may not accurately... Systems Reference/Cabeus Wed, 02 Sep 2026 16:50:39 -0700