Supported by the Grove School
of Engineering (GSOE) at CCNY, PSC-CUNY and NSF, the GeoTECI lab currently is
equipped with the state-of-the-art computing hardware, including a 2-node
mini-cluster, high-end graphics workstations, laptops, tablets and network and
storage devices. All the graphics cards attached to these computers are capable
of general computing.
|
Name |
Quantity |
CPU |
Memory |
Disk |
GPGPU Devices |
|
Microway Workstation |
1 |
Dual eight core |
128 GB |
8 TB (7200RPM) |
Nvidia
Titan (2688 cores, 6GB) Intel
Xeon Phi 3120A (57 cores, 6GB) |
|
DIY Workstation |
1 |
Quadcore |
16 GB |
1 TB (7200RPM) |
Nvidia
Titan(2688 cores, 6GB) AMD Radeon 7970 (3
GB) |
|
1 |
(Dual quadcore)*2 |
48GB *2 |
4 TB*2 (7200RPM) |
(Nvidia Tesla
C2050*2)*2 (448core/3GB) |
|
|
2 |
Dual six core |
40GB/24GB |
256G (SSD)+ 300G (10K RPM) |
(448 core/6GB) |
|
|
2 |
Dual quadcore |
16G |
1.5T (7200RPM) |
Nvidia Quadro FX 3700 (112core/768MB) |
|
|
2 |
Quadcore |
8G |
500G (7200RPM) |
(320 core/2GB) |
|
|
2 |
|
|
|
|
|
|
1 |
|
|
|
|
|
|
2 |
|
|
|
|
|
|
External Storage |
4 |
|
|
2T |
|
|
1 |
|
|
|
|