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Facility
A number of problems of interest to theoretical researchers lie at the forefront of structure formation and evolution of the universe. The fundamental problems are computationally challenging, intrinsically three dimensional and characterized by a wide range of length scales and time scales. In order to attack such problems requiring extensive memory and/or evolutionary time requirements, TIARA provides access to computational resources using many processors on clusters, visualization servers, and software, as outlined below.
Theoretical Clusters
Kawas Cluster (18 nodes, 2,240 cores, 1TB memory) |
16 nodes |
AMD EPYC 7763 @ 2.45GHz x 2 |
512GB RAM |
N/A |
2 nodes |
AMD EPYC 7643 @ 2.30GHz x 2 |
1024GB RAM |
NVIDIA A100-SXM4-80GB (6,912 FP32 CUDA Cores, 80GB) x 8 |
GP Cluster |
4 nodes |
E5-2698 v4 @ 2.20GHz x 2 |
256GB RAM |
NVIDIA Tesla P100-SXM2 (3,584 FP32 CUDA Cores, 16GB) x 4 |
Visualization Servers |
tumaz |
INTEL E5-2620 v4 @ 2.10GHz x 2 |
1.5TB RAM |
NVIDIA TITAN X Pascal (3,584 FP32 CUDA Cores, 12GB) x 8 |
ngabul |
INTEL Gold 5218 CPU @ 2.30GHz x 2 |
1.5TB ram |
NVIDIA Quadro RTX 8000 (4,608 FP32 CUDA Cores, 48GB) x 8 |
kolong |
AMD EPYC 7713 @ 2.00GHz x 2 |
2.0TB ram |
NVIDIA RTX A6000 (10,752 FP32 CUDA Cores, 48GB) x 8 |
kramu |
AMD EPYC 9654 @ 2.40GHz x 2 |
1.5TB ram |
AMD Instinct MI210 (6,656 GPU Cores, 64GB) x 5 |
Software |
IRAF, LAM-MPI, MPICH, OpenMPI, OpenMP, Intel C/Fortran Compiler, PGI, FFTW, HDF,
SuperMongo, Zeus3D, ZeusMP, pgplot, Visit, MatLab, IDL |
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