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Ascend, Cardinal, Pitzer
MRIcroGL is medical image viewer that allows you to load overlays (e.g. statistical maps), draw regions of interest (e.g. create lesion maps).
Availability and Restrictions
Versions
MRIcroGL is available on Pitzer cluster. These are the versions currently available:
Ascend, Cardinal, Pitzer
dcm2niix is designed to convert neuroimaging data from the DICOM format to the NIfTI format. The DICOM format is the standard image format generated by modern medical imaging devices. However, DICOM is very complicated and has been interpreted differently by different vendors. The NIfTI format is popular with scientists, it is very simple and explicit. However, this simplicity also imposes limitations (e.g. it demands equidistant slices).
SUG Conference - April 20, 2023
Agenda
Ascend
The following are technical specifications for Ascend.
- Number of Nodes
-
24 nodes
- Number of CPU Sockets
-
48 (2 sockets/node)
- Number of CPU Cores
-
2,304 (96 cores/node)
- Cores Per Node
-
96 cores/node (88 usable cores/node)
- Internal Storage
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12.8 TB NVMe internal storage
Ascend
For more information about citations of OSC, visit https://www.osc.edu/citation.
To cite Ascend, please use the following Archival Resource Key:
ark:/19495/hpc3ww9d
Please adjust this citation to fit the citation style guidelines required.
Ascend, Cardinal, Pitzer
NVHPC, or NVIDIA HPC SDK, C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming.
Ascend, Pitzer
The AMD Optimizing C/C++ and Fortran Compilers (“AOCC”) are a set of production compilers optimized for software performance when running on AMD host processors using the AMD “Zen” core architecture. Supported processor families are AMD EPYC™, AMD Ryzen™, and AMD Ryzen™ Threadripper™ processors. The AOCC compiler environment simplifies and accelerates development and tuning for x86 applications built with C, C++, and Fortran languages.
Ascend
Users who would like to use the Ascend cluster will need to request access. This is because of the particulars of the Ascend environment, which includes its size, GPUs, and scheduling policies.
Motivation
Access to Ascend is done on a case by case basis because:
Ascend
These are the public key fingerprints for Ascend:
ascend: ssh_host_rsa_key.pub = 2f:ad:ee:99:5a:f4:7f:0d:58:8f:d1:70:9d:e4:f4:16
ascend: ssh_host_ed25519_key.pub = 6b:0e:f1:fb:10:da:8c:0b:36:12:04:57:2b:2c:2b:4d
ascend: ssh_host_ecdsa_key.pub = f4:6f:b5:d2:fa:96:02:73:9a:40:5e:cf:ad:6d:19:e5
Ascend, Cardinal, Pitzer
The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and Networking. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter as well as point-to-point send and receive that are optimized to achieve high bandwidth and low latency over PCIe and NVLink high-speed interconnects within a node and over NVIDIA Mellanox Network across nodes.
