HPC Systems

For over 35 years, SDSC has led the way in deploying and supporting cutting-edge high performance computing systems for a wide range of users, from the campus to the national research community. From the earliest Cray systems to today’s data-intensive systems, SDSC has focused on providing innovative architectures designed to keep pace with the changing needs of science and engineering.

Whether you’re looking to expand computing beyond your lab or a business looking for that competitive advantage, SDSC’s HPC experts will guide potential users in selecting the right resource, thereby reducing time to solution while taking your science to the next level.

Take a look at what SDSC has to offer and let us help you discover your computing potential.

System	Performance	Key Features
Expanse Expanse Home User Guide	5 Pflop/s peak; 93,184 CPU cores; 208 NVIDIA GPUs; 220 TB total DRAM; 810 TB total NVMe	Standard Compute Nodes (728 total) AMD EPYC 7742 (Rome) Compute Nodes; 2.25 GHz; 128 cores per node; 1 TB NVMe per node; 256 GB DRAM per node GPU Nodes (52 total) NVIDIA V100s SMX2 with 4 GPUs per node; 40 6248 Xeon CPU cores per node; 384 GB CPU DRAM per node; 2.5 GHz CPU clock speed; 32 GB memory per GPU; 1.6 TB NVMe per node; connected via NVLINK Large-memory Nodes (4 total) AMD Rome nodes; 2 TB DRAM per node; 3.2 TB SSD memory per node; 128 cores per node; 2.25 GHz Interconnect HDR InfiniBand, Hybrid Fat-Tree topology; 100 Gb/s (bidirectional) link bandwidth; 1.17-x.xx µs MPI latency Storage Systems Access to Lustre (12 PB) and Ceph (7 PB) storage SDSC Scalable Compute Units (13 total) Entire system organized as 13 complete SSCUs, consisting of 56 standard nodes and four GPU nodes connected with 100 GB/s HDR InfiniBand
TSCC: Triton Shared Computing Cluster TSCC Home User Guide	80+ Tflop/s (and growing!)	General Computing Nodes Dual-socket, 12-core, 2.5GHz Intel Xeon E5-2680 (coming) and Dual-socket, 8-core, 2.6GHz Intel Xeon E5-2670 GPU Nodes Host Processors: Dual-socket, 6-core, 2.6GHz Intel Xeon E5-2630v2 GPUs: 4 NVIDIA GeForce GTX 980 Interconnect 10GbE (QDR InfiniBand optional) Lustre-based Parallel File System Access to Data Oasis

System

Performance

Key Features

Expanse

Expanse Home

User Guide

5 Pflop/s peak; 93,184 CPU cores; 208 NVIDIA GPUs; 220 TB total DRAM; 810 TB total NVMe

Standard Compute Nodes (728 total)
AMD EPYC 7742 (Rome) Compute Nodes; 2.25 GHz; 128 cores per node; 1 TB NVMe per node; 256 GB DRAM per node

GPU Nodes (52 total)
NVIDIA V100s SMX2 with 4 GPUs per node; 40 6248 Xeon CPU cores per node; 384 GB CPU DRAM per node; 2.5 GHz CPU clock speed; 32 GB memory per GPU; 1.6 TB NVMe per node; connected via NVLINK

Large-memory Nodes (4 total)
AMD Rome nodes; 2 TB DRAM per node; 3.2 TB SSD memory per node; 128 cores per node; 2.25 GHz

Interconnect
HDR InfiniBand, Hybrid Fat-Tree topology; 100 Gb/s (bidirectional) link bandwidth; 1.17-x.xx µs MPI latency

Storage Systems
Access to Lustre (12 PB) and Ceph (7 PB) storage

SDSC Scalable Compute Units (13 total)

Entire system organized as 13 complete SSCUs, consisting of 56 standard nodes and four GPU nodes connected with 100 GB/s HDR InfiniBand

TSCC:
Triton Shared
Computing Cluster

TSCC Home

User Guide

80+ Tflop/s
(and growing!)

General Computing Nodes
Dual-socket, 12-core, 2.5GHz Intel Xeon E5-2680 (coming) and Dual-socket, 8-core, 2.6GHz Intel Xeon E5-2670

GPU Nodes
Host Processors: Dual-socket, 6-core, 2.6GHz Intel Xeon E5-2630v2
GPUs: 4 NVIDIA GeForce GTX 980

Interconnect

10GbE (QDR InfiniBand optional)

Lustre-based Parallel File System
Access to Data Oasis

Expanse

Trial Accounts

Trial Accounts give users rapid access for the purpose of evaluating Expanse for their research. This can be a useful step in accessing the value of the system by allowing potential users to compile, run, and do initial benchmarking of their application prior to submitting a larger Startup or Research allocation. Trial Accounts are for 1000 core-hours, and requests are fulfilled within 1 working day.

Visit the Expanse page for full details of the system.

TSCC

TSCC Home

Visit the TSCC Home page for all the details.

TSCC User Documentation

The TSCC User Guide has complete information on accessing and running jobs on TSCC.