Table of Contents

Cluster Calcolo

Il cluster R&D del CNAF si compone attualmente delle seguenti macchine:



Descrizione Hardware

Name Chassis MotherBoard Cores Memory GPU/Co-processor OS
rd-coka-01 E4 Supermicro X9DRG-HF SandyBridge 2 x 12 cores @ 2.00 GHz 32GB @ 1333MHz 2 x nVidia K20m + Intel Xeon Phi 3110P CentOS 6.4
rd-coka-02 E4 Supermicro X9DRG-HF SandyBridge 2 x 12 cores @ 2.00 GHz 32GB @ 1333MHz 2 x Intel Xeon Phi 5110P SL 6.4
rd-gpu-02 E4 Supermicro X8DTG-QF Westmere 2 x 8 cores @ 2.40 GHz 24GB @ 1066MHz 3 x nVidia C2050 CentOS 6.4
carma-devkit Seco cardhu ARM A9 1 x 4 cores @ 1.4GHz 2GB DDR3 nVidia Quadro 1000M Ubuntu 12.04


Dettagli Hardware
GPU K20
Modello NVIDIA Tesla K20m
Cores 13 (Multiprocessors) x 192 (CUDA cores) = 2496 CUDA cores
GPU clock rate 706 MHz
Memory 5 GB GDDR5
Memory clock rate 2600 MHz
Memory bandwidth 208 GB/sec
Max power cons. 225 Watt
Peak SP perf. 3.52 Tflops
Peak DP perf. 1.17 Tflops
GPU C2050
Modello NVIDIA Tesla C2050
Cores 14 (Multiprocessors) x 32 (CUDA cores) = 448 CUDA cores
GPU clock rate 1147 MHz
Memory 3 GB GDDR5
Memory clock rate 1500 MHz
Memory bandwidth 144 GB/sec
Max power cons. 238 Watt
Peak SP perf. 1.03 Tflops
Peak DP perf. 515 Gflops
GPU Quadro 1000M
Modello NVIDIA Quadro 1000M
Cores 2 (Multiprocessors) x 48 (CUDA cores) = 96 CUDA cores
GPU clock rate 1400 MHz
Memory 2048 MBytes
Memory clock rate 900 MHz
Memory bandwidth 28.8 GB/sec
Max power cons. 45 Watt
Peak SP perf. 268.8 Gflops
Peak DP perf. … Tflops
MIC 3110P
Modello Intel Xeon Phi 3110P
Cores 57 (Multiprocessors) x 4 (hardware threads) = 228 cores
CPU clock rate 1100 MHz
Memory 3 GBytes
Memory clock rate 2500 MHz
Memory bandwidth 240 GB/s
Max power cons. 225 Watt
Peak SP perf. … Tflops
Peak DP perf. 1.0 Tflops
MIC 5110P
Modello Intel Xeon Phi 5110P
Cores 60 (Multiprocessors) x 4 (hardware threads) = 240 cores
CPU clock rate 1053 MHz
Memory 8 GBytes
Memory clock rate 2500 MHz
Memory bandwidth 320 GB/s
Max power cons. 225 Watt
Peak SP perf. … Tflops
Peak DP perf. 1.01 Tflops

Descrizione Software

GPU

Per utilizzare le GPU sono disponibili:

Intel Xeon Phi

Per l'uso dei co-processori Phi sono disponibili:

MPI