Computational Facilities

ECL is building its own computational facilities. There are a four powerful workstations available at ECL with 256 CPU cores and 80384 GPU cores in total:

UlughbegProcessor: AMD Ryzen Threadripper 3990X (64-cores, 128 threads)
RAM: 64GB
Storage: 1xSSD 512 GB, 1xHDD 8 TB and 2xHDD 10 TB
GPU-1: Nvidia GeForce RTX 3080 (8704 CUDA cores, 10GB memory)
GPU-2: Nvidia GeForce RTX 3080 (8704 CUDA cores, 10GB memory)
VegaProcessor: AMD Ryzen Threadripper 3990X (64-cores, 128 threads)
RAM: 128GB
Storage: 1xSSD 512 GB and 1xHDD 8 TB
GPU-1: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)
GPU-2: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)
WestProcessor: AMD Ryzen Threadripper 3990X (64-cores, 128 threads)
RAM: 128GB
Storage: 1xSSD 512 GB and 1xHDD 8 TB
GPU-1: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)
GPU-2: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)
SiriusProcessor: AMD Ryzen Threadripper 3990X (64-cores, 128 threads)
RAM: 128GB
Storage: 1xSSD 512 GB and 1xHDD 8 TB
GPU-1: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)
GPU-2: Nvidia GeForce RTX 3090 (10496 CUDA cores, 24GB memory)

The workstations were purchased within the framework of the grant funding from the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (AP05135753 Understanding Fast Radio Bursts, and Exploiting Them as Probes of New Physics and Cosmology and AP08856149 Star Cluster dissolution mechanisms in the Milky-Way-like galaxies).