内存参数
| 图形适配器内存类型 |
GDDR5 |
| 数据宽度 |
384 bit |
| 独立显卡适配器內存 |
6 GB |
处理器
| CUDA核心 |
512 |
| 图形处理器系列 |
NVIDIA |
| CUDA |
Y |
| 并行处理技术支持 |
Not supported |
另外
| 图形处理器 |
Tesla M2075 |
| 双dvi(互应式数字视频) |
N |
Tesla M2075, 6144 Mb DDR5, 384-bit, PCIe x16
- The NVIDIA Tesla Computing Modules enable seamless integration of GPU computing with HP ProLiant servers for scale-out deployments. The Tesla GPUs have a capacity of up to 6 GB of GDDR5 memory with ECC, and peak performance of 655 double-precision Gflops or over 1.3 single-precision Tflop. The Tesla M2070Q combines Tesla’s high performance computation with the NVIDIA Quadro® professional-class visualization in the same GPU. The HP GPU Ecosystem includes the CUDA programming interface and third-party CUDA development tools, as well as HP-supported GPU-aware cluster software such as the HP Cluster Management Utility (CMU). CMU will monitor and display GPU health such as temperature and will also install and provision the GPU drivers and the CUDA software. In addition, HP HPC Linux Value Pack includes a GPU-enhanced version of Platform LSF, with the capability of scheduling jobs based on GPU requirements.
- May dramatically reduce computational time for parallel applications. Reduces time to solution, thus enabling businesses to solve problems previously limited by CPU speed