XieResearchGroup
  • About the Group
  • HPC Environments
    • Summary of HPCs
      • DGX (Group)
      • DLS (Department)
      • Dragon (Group)
    • HPC User Guide (Must Read)
      • Overall Workflow
      • Connect to HPCs
      • User Directories
      • Run Jobs
      • Data Backup
  • Useful Tutorials
    • Linux Tutorial
      • Linux Commands
    • Docker Tutorial
      • Intro to Docker
      • Intro to NVIDIA Docker
      • Use Docker for Deep Learning
      • Docker Useful Commands
    • Jupyter Notebook Tutorial
      • Run Jupyter Server with GPU Access on HPCs
    • HTCondor Tutorial
      • Introduction of HTCondor
      • Quick Start Guide
      • Submitting Vanilla Job
      • Submitting Docker Job
      • HTCondor Useful Commands
    • Better Deep Learning
      • Better Training
      • Better Generalization
      • Better Prediction
    • About Graph Neural Networks
    • Data Preprocessing
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  • Hardware Summary
  • Processors
  • System Memory and Storage
  • Administrators

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  1. HPC Environments
  2. Summary of HPCs

DLS (Department)

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Last updated 11 months ago

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The Deep Learning Server (DLS) in the CS department of Hunter College is the Supermicro SuperServer 4028GR-TR:

Hardware Summary

Processors

Component
Qty
Description

CPU

2

Intel Xeon E5-2650 v4 2.2 GHz 12-Core (48 threads total)

GPU

8

NVIDIA Tesla® V100 with 32 GB per GPU (256 GB total of GPU memory)

System Memory and Storage

Component
Qty
Unit Capacity
Total Capacity
Description

System memory

8

64 GB

512 GB

ECC Registered LRDIMM DDR4 SDRAM

Data storage

2

1.92 TB

3.84 TB

2.5” 6 Gb/s SATA III SSD in RAID 0 configuration

OS storage

1

1.92 TB

1.92 TB

2.5” 6 Gb/s SATA III SSD

Administrators

If you have any problems of using DLS. Please contact the administrators of DLS:

Name
Email

Jonathan Stricoff

js12852@hunter.cuny.edu

Shuo Zhang

szhang4@gradcenter.cuny.edu