SGI UV300 SuperComputer

Stanford provides access to an on-site supercomputer for biomedical researchers who need to run analyses requiring large, dedicated computing resources to be applied to their solutions simultaneously, such as many CPUs, large memory, fast local storage, and/or high-powered GPUs. This supercomputer, an SGI (now part of Hewlett Packard Enterprise) UV300 machine, was acquired via a NIH S10 Shared Instrumentation Grant. It has:

  • 360 cores
  • 10 terabytes of random-access memory (RAM)
  • 20 terabytes of flash memory
  • 4 NVidia Pascal GPUs (P100s, especially suited to deep learning)
  • 150+ terabytes of local scratch storage.

The UV300 is available on the SCG cluster in the nih_s10 partition. For more information about how to use it see:

This supercomputer is made available to the Stanford community via the Genetics Bioinformatics Service Center (GBSC). For more background information about the UV-300 and the GBSC, see the GBSC website.

Configuration Details

  • High memory-to-processor ratio
  • Intel Xeon E7-8867 v4 with 24 CPUs/socket
  • SGI NUMALink™ 7 interconnect (NL7; 7.47GB/s bidirectional peak)
  • Ultra low latency: All-to-All & Multi-dimensional All-to-all network topology
  • Extreme I/O: 12 PCIe Gen3 slots per chassis
  • NVidia Pascal GPUs
    • 5.3 TFLOPS of double-precision floating point (FP64) performance
    • 10.6 TFLOPS of single-precision floating point (FP32) performance
    • 21.2 TFLOPS of half-precision floating point (FP16) performance
  • NVIDIA’s NVLink: provides GPU-to-GPU data transfers at up to 160 Gigabytes/second of bidirectional bandwidth
  • HBM2: offering three times (3x) the memory bandwidth of the Maxwell GM200 GPU
  • Unified Memory and Compute Preemption via CUDA 8+