Node and GPU Configuration
Compute Nodes
Dirac is a 50 GPU node cluster connected with QDR IB. Each GPU node also contains 2 Intel 5530 2.4 GHz, 8MB cache, 5.86GT/sec QPI Quad core Nehalem processors (8 cores per node) and 24GB DDR3-1066 Reg ECC memory.
- 44 nodes: 1 NVIDIA Tesla C2050 (code named Fermi) GPU with 3GB of memory and 448 parallel CUDA processor cores.
- 4 nodes: 1 C1060 NVIDIA Tesla GPU with 4GB of memory and 240 parallel CUDA processor cores.
- 1 node: 4 NVIDIA Tesla C2050 (Fermi) GPU's, each with 3GB of memory and 448 parallel CUDA processor cores.
- 1 node: 4 C1060 Nvidia Tesla GPU's, each with 4GB of memory and 240 parallel CUDA processor cores.
Fermi Chip
Specifications
| Form Factor | 9.75" PCIe x16 form factor |
| # of Tesla GPUs | 1 |
| # of CUDA Core | 448 |
| Frequency of CUDA Cores | 1.15 GHz |
| Double Precision floating point performance (peak) | 515 Gflops |
| Single Precision floating point performance (peak) | 1.03 Tflops |
| Total Dedicated Memory* Tesla C2050
Tesla C2070 |
3GB GDDR5 6GB GDDR5 |
| Memory Speed | 1.5 GHz |
| Memory Interface | 384-bit |
| Memory Bandwidth | 144 GB/sec |
| Power Consumption Tesla C2050
|
238W TDP |
| System Interface | PCIe x16 Gen2 |
| Thermal Solution | Active Fansink |
| Display support Dual-Link DVI-I
Maximum Display Resolution @ 60Hz |
1 2560x1600 |
| Software Development Tools | CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio |
Further Information
NVIDIA whitepaper is available to learn more about Fermi.
