Facility

About the CUDA Research Center at QIBEBT-CAS
QIBEBT-CAS (Qingdao Institute of BioEnergy and Biotechnology Technology, Chinese Academy of Sciences) is a newly-founded national research institute dedicated for science and technology innovation in biology, energy and process technologies. Computational Biology Group of QIBEBT-CAS is one of the early adopters of GPGPU computing with CUDA in its research and teaching.

In Computational Biology Group, researchers develop novel computational methods to enable super-high throughput analyses for genomics, metagenomics, single-cell omics and synthetic biology, all based on “big data”. In these areas, rapid and real-time computations could significantly transform current practices. Over the last three years, the group has utilized GPGPU CUDA computation facilities to tremendously facilitate research projects in computational biology and bioinformatics fields.

Link to the QIBEBT-CRC at NVIDIA

https://research.nvidia.com/content/qingdaoCAS-crc-summary

Super Computing Center

  • 38 * TC 2600 Blade Servers for massive computing, 2.55 Tflops computing capability in total
    • 2.1GHz AMD Opteron 2352 x86_64 quad core processors,
    • 16GB DDR3 ECC RAM
  • 2 * AMAX 2-Way Rack Servers for massive computing, 1.2 Tflops computing capability in total
    • Dual 2.0GHz Intel Xeon E5-2650 x86_64 8 core processors,
    • 64GB DDR3 ECC RAM
    • NVIDIA Tesla K20 GPU
  • 3* AMAX 4-Way Rack Server for massive computing, 1.4 Tflops computing capability in total
    • 4 * 2.2 GHz Intel Xeon E5-4620 8 core processors
    • up to 512GB DDR3 ECC RAM
    • NVIDIA Tesla K40 GPU
  • 6 * A620 r-FX Rack Server for I/O control and normal computing, 0.13 Tflops computing capability in total
    • 2 * 2.1GHz AMD Opteron 2352 x86_64 quad core processors,
    • 8GB DDR3 ECC RAM
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    WorkStation

  • Dual Intel Xeon X5650 with 12 cores in total
  • 72 GB DDR3 RDIMM
  • Tesla C2070 GPU with 448 strream processors and 6 GB GDDR5 ECC
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    UltiMaker 3D printer