Vislab8

Vislab8 is Dario's pc. It hosts an NVIDIA Tesla C1060 GPGPU.

You can access vislab8 by ssh:

 ssh vislab@10.0.3.8

The password is the usual one. The password for the super user (root) is the usual second-level password.

User vislab can use "sudo" to run commands with super user rights:

 sudo ls

Device features and configuration:

 Device 0: "Tesla C1060"
 CUDA Driver Version:                           4.0.17 (build 270.41.19) Installed on Nov. 3 2011
 CUDA Runtime Version:                          4.0.17 Installed on Nov. 3 2011
 CUDA Capability Major revision number:         1
 CUDA Capability Minor revision number:         3
 Total amount of global memory:                 4294770688 bytes
 Number of multiprocessors:                     30
 Number of cores:                               240
 Total amount of constant memory:               65536 bytes
 Total amount of shared memory per block:       16384 bytes
 Total number of registers available per block: 16384
 Warp size:                                     32
 Maximum number of threads per block:           512
 Maximum sizes of each dimension of a block:    512 x 512 x 64
 Maximum sizes of each dimension of a grid:     65535 x 65535 x 1
 Maximum memory pitch:                          2147483647 bytes
 Texture alignment:                             256 bytes
 Clock rate:                                    1.30 GHz
 Concurrent copy and execution:                 Yes
 Run time limit on kernels:                     No
 Integrated:                                    No
 Support host page-locked memory mapping:       Yes
 Compute mode:                                  Default (multiple host threads can use this device simultaneously)
 Concurrent kernel execution:                   No
 Device has ECC support enabled:                No