HPC-Lehigh hardware resources fall in these categories:
Altair is an SGI F1200 super computer. It's a symmetric multiprocessor (SMP) machine consisting of 32 CPU-cores and 128 GB of shared memory. It makes it ideal for shared memory applications or applications that have large memory requirements.
| Name: | Altair |
|---|---|
| Host name: | cs.cc.lehigh.edu or altair.cc.lehigh.edu |
| Computing Cores: | 8 quad core 2.3 GHz Intel Xeon processors (total 32 cores) |
| Cache: | 6MB |
| Architecture: | 64 bit x86_64 |
| Memory: | 128GB |
| Disk: | 1400GB /home on RAID 5. User quota 100MB (extensible on request) |
| Network: | Connected using 1000Mbps Intel PRO/1000 |
| Operating System: | Red Hat Enterprise Linux Server release 5 |
| How to access: | For Service Level Enhanced - I. Batch and Interactive. See instructions for remote login using ssh. |
Three SunFire x2270 Servers are named as Trit 1, Trit 2, and Trit 3. They are three identical machines.
| Name: | Trit |
|---|---|
| Host name: | trit1.cc.lehigh.edu, trit2.cc.lehigh.edu and trit3.cc.lehigh.edu |
| Computing Cores(each): | 2x 2.93GHz Intel Xeon X5570 (Nehalem) quad core 64-bit (total 8 cores) |
| Cache: | 8MB |
| Architecture: | 64 bit x86_64 |
| Memory: | 48GB of DDR3-1333 ECC Memory, (12 x 4GB 1333 MHz DIMM's) |
| Disk: | 1x 500GB SATA 7.2K rpm disk |
| Network: | Connected using 1000Mbps Intel PRO/1000 |
| Operating System: | CentOS 5.3 |
| How to access: | For Service Level
Enhanced - II. Trit1 (Batch Only). Trit2 and Trit3 (Batch and Interactive). See instructions for remote login using ssh. |
Dell R905 Server.
| Name: | Capella |
|---|---|
| Host name: | capella.cc.lehigh.edu |
| Computing Cores(each): | 4x Opteron 8384 (Shanghai) quad core 64-bit CPU's (total 16 cores) |
| Cache: | 6MB |
| Architecture: | 64 bit x86_64 |
| Memory: | 64GB of DDR2-667 Memory (8x 8GB 667 MHz DIMM's) |
| Disk: | 2x 146GB SAS 15K rpm disks |
| Network: | Connected using 1000Mbps Intel PRO/1000 |
| Operating System: | CentOS 5.3 |
| How to access: | For Service Level Enhanced - II. Batch and Interactive. See instructions for remote login using ssh. |
HPC Lehigh maintains Beowulf Clusters with a total of nearly 1400 computing cores with distributed memory. These clusters are comprised by two main clusters: Inferno and Corona, each of which is a group of machines (with a total of over 100 individual compute nodes) that can be scheduled for use.
| Name: | Inferno | Corona | |
|---|---|---|---|
| Host name: | inferno.cc.lehigh.edu
(only accessible through blaze) | corona.cc.lehigh.edu | |
| Nodes | 40 | 64 (16x 4 nodes/2U) | |
| CPU on each node | Dual quad-core Xeon 1.8Ghz | 2 X AMD Opteron 8-core 6128 (16 cores/node) | |
| Total number of compute cores | 320 | 1040 | |
| Cache: | 4MB | L1: 8*128KB, L2: 8*512KB, L3: 12288 KB | |
| Architecture: | 64 bit x86_64 | 64 bit x86_64 | |
| Memory on each node: | 16GB | 32GB or 64GB | |
| Operating System: | CentOS release 5 (Final) | CentOS release 5.5 (Final) | |
| Disk: | 800GB /home mounted on all nodes. Individual users have 10GB quotas. | ||
| Network: | All connections at 1000Mbps | ||
| How to access: | For Service Level
Enhanced - II. Batch and Interactive. PBS submission on Corona, Condor Submission on inferno. See instructions for remote login using ssh. | ||
| CPU limit: | No jobs except compilation and debugging to be run interactively. Use PBS scheduling for Corona and Condor scheduling for inferno. | ||
LEAF is meant to serve the needs of users who can do their computational work on 32-bit space cpu's. LEAF collectively refers to a group of identical machines. Users may login into leaf.cc.lehigh.edu using ssh. They will then be redirected to one of the nodes so that load on all nodes is balanced.
| Name: | LEAF (Lehigh Application Farm) |
|---|---|
| Host name: | leaf.cc.lehigh.edu |
| Number of identical nodes: | 39 |
| Number of CPUs: | 4 per node, 72 total |
| Architecture: | INTEL 686 |
| Memory: | 12GB per node |
| Disk: | User's AFS Space (100MB) |
| Network: | ?? |
| Operating System: | Red Hat Enterprise Linux Server release 5 |
| How to access: | For Service Level basic. Batch and Interactive. See instructions for remote login using ssh. |
| Name: | Cuda0 |
|---|---|
| Host name: | Cuda0.cc.lehigh.edu |
| Number of identical nodes: | 1 |
| Number of CPUs: | One 6 core Intel Xeon (X5650 Westmere 2.66 GHz) CPU |
| GPUs | 2 x nVidia "Fermi" Tesla C2050 GPUs - each have 3 GB of GDDR5 memory and support single and double precision floating point operations (with a Peak Performance rated at 515 GFLOPS double precision floating point and 1.03 TFLOPS single precision floating point performance) across 448 cores. |
| Architecture: | 64 bit x86_64 |
| Memory: | 24GB DDR3 |
| Disk: | /zhome and /Project file systems |
| Network: | Connected using one 1000Mbps Intel PRO/1000 |
| Operating System: | CentOS 5.5 (kernel 2.6.18) |
| How to access: | For Service Level Enhanced - II. Batch and Interactive. See instructions for remote login using ssh. |
The Lehigh University Condor Grid is an application which can be used for High Throughput Computing. The grid composes of most public site PCs managed by the LTS. The grid works like the Beowulf Cluster except that it uses only those processors on the grid that are idle, and not being used by any user. This grid is available through any public site PC or workstation that has condor installed on it. The pool includes machines running MS Windows, Linux and Mac-OSX operating systems with different hardware configurations. Instructions for using this pool are available on this page.