Advanced Computing Laboratory

Welcome to advanced computing laboratory, located in Department of Physics building (1st FL) – Faculty of Mathematics and Natural Sciences, ITB. In this laboratory we are studying the physical phenomenon by computer simulation from nano scale dimension (in nano meter) to ‘eye‘scale dimension (in meter). We investigate the properties of nanoscale material by first principle calculations or molecular dynamic. In the larger scale, we also study fluid dynamics by mesh-free method. In application view, we also study image processing and apply it on various field, such as robotics and medical imaging.

Any student and researcher from any major who want to use our facilities are encourage to join our laboratory. You can either directly come to our laboratory or contact us via email for first visit.

The following are the facilities in our laboratory:

Teleconference and Meeting Facility

 

Computing Facility (per 23.04.2015):

QC Cluster with 68 threats and 208 GB of total memory.

GPU with 2652 Stream Processors.

Special server for student practice and support e-learning facility in courses.fi.itb.ac.id

All of computing facility can be remotely accessed from ITB and external (need VPN connection) networks.

 

 

Machine Spesification :
Node Type Status Core (Thread) Memory Time Limit
CPHYS Intel Xeon X3440 2.53 GHz Head 4(8) 16
Compute0-0 Intel Xeon E5606 2.13 GHz medium 4(4) 16 24 hours
Compute0-3 Intel Xeon E5620 2.40 GHz high 4(8) 32 24 hours
Compute0-6 Intel Xeon E5520 2.27 GHz high 4(8) 24 48 hours
Compute0-9 Intel Xeon E5620 2.40 GHz high 4(8) 24 48 hours
Compute0-11 Intel i7 – 3770 3.40 GHz low 4(8) 16 24 hours
Compute0-14 Intel Xeon E5-2640 2.53 GHz high2 12(24) 64 48 hours
Compute0-15 Intel Xeon X5620 2.40 GHz high 4(8) 32 48 hours

 

 

Other Machine :
  • DSP – Intel Xeon E5520 2.27 GHz – 4 Cores (8 threads) – 4 GB RAM
  • CUDA low   – GeForce GTX 650 – 384 CUDA Cores
  • CUDA high – GeForce GTX 780 – 2304 CUDA Cores

 

The facilities we have are also used to serve several courses, namely:
  • FI4171 Computation and Smart Instrumentation System
  • FI3201 Computational Physics