Service Overview

The Super Intelligent Computing Center (SICC) contains multiple sets of computing platforms to provide PaaS for unit use, and GPU computing platforms for deep learning. Set of computing platforms to provide services:

  1. HCS service: mainly provide PaaS (Platform as a Service), mainly used to create VDC and VM for long-term use by users. It can not only allocate resources to multiple users, but also provide resources for users to build customized platforms and services. Provides more than 2,000 virtual computing cores, 48 servers and 16 graphics processors (GPUs), and is equipped with a computing server with a large memory of 10TB and a capacity of 500TB.
  2. GPU supercomputer service: NVIDIA DGX-2 is equipped with 16 fully interconnected Tesla-v100 GPUs as the core, becoming the first intelligent computing system with 2 gigabytes per second floating-point operation (petaFLOPS), which is in deep learning can reach the level of traditional large-scale supercomputing centers.
  3. GPU computing platform:
    • Lico GPU cluster with 12 GPU servers and 48 GPUs, and equipped with 3 storage servers and 2 network servers for multi-users to use and share GPU resources simultaneously,
    • Scheduling GPU cluster with 3 login nodes and 12 GPU servers with 70 GPUs, provides computing capability to various research teams.

Getting started

Access

SSH Client (For off-campus access, please connect to SSL VPN first.)

Apply

Equipment

HCS (Huawei Cloud Service)

NodeQuantityComputing CoresRAM (GB)HDD (TB)GPU
Management Node3961344
Network Node264768
Compute and Storage Node2496015360500
GPU Computing Node29676816 x NVIDIA® Tesla® V100

Login Information: https://console.sicc.um.edu.mo/

GPU Super Computing Service (DGX-2)

NodeQuantityComputing CoresRAM (GB)HDD (TB)SSD(TB)GPU
Head Node1321281.5
GPU Computing Node19615003016 x NVIDIA® Tesla® V100

Login and Job Submit Information: SSH Client and Submit jobs by Slurm 

GPU Cluster: Lico & Cambricon Cluster

NodeQuantityComputing CoresRAM (GB)HDD (TB)SSD (TB)GPU
Head Node140128
Login Node3120768
GPU Computing Node12480307248 x Cambricon MLU100 GPU Deep Learning Card
Storage Node128.811.2

 

GPU Cluster for job Scheduling

NodeQuantityComputing CoresRAM (GB)HDD (TB)SSD (TB)GPU
Head Node1321281.2
Login Node2642562.4
GPU Computing Node1260831523019.4

8  x Nvidia Titan V
50 x GeForce RTX 2080 Ti
4   x Nvidia Titan Xp
4   x GeForce RTX 2080

Storage Node10011.2

Contact us

  • for HCS Service, please contact your department technician
  • for typical cluster operations

IOTSC will provide technical support as much as possible, if assistance is required.

Acknowledgement in Research Publications

Please acknowledge the support of Super Intelligent Computing Center (SICC) in your research report, journal, or publications. This information is very important for us to acquire funding for new resources. The author(s) of the paper can word the acknowledgement, and below is the recommend acknowledgement for publications:

Acknowledgement
THIS WORK WAS PERFORMED IN PART AT SICC WHICH IS SUPPORTED BY IOTSC OF THE UNIVERSITY OF MACAU.