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SGI Altix Technical Summary |
Production Date: March 1, 2005
[cobalt.ncsa.uiuc.edu]
[login-co.ncsa.teragrid.org]
| Machine Name |
Model |
Function |
Processor type |
# Procs |
L3 Cache
(per processor) |
Memory |
Internal Interconnect |
| co-login |
SGI Altix 3700 Bx2 |
interactive use |
1.6 GHz Itanium 2 |
32 |
9 MB |
134 GB |
SGI NUMAlink |
| co-compute1 |
batch jobs |
480 |
960 GB |
| co-compute2 |
512 |
3 TB |
 co-compute3 |
SGI Altix 4700 |
1.66 GHz dual core Itanium 2 |
128 (256 cores) |
2x8 MB [*] |
768 GB |
co-viz3 - co-viz8
(6 systems) |
SGI Prism |
1.6 GHz Itanium 2 |
8 CPUs |
9 MB |
16 GB |
[*] 8 MB shared by 2 cores
Common Attributes
| COMPONENT |
DESCRIPTION |
| Hardware & Networking |
Architecture |
Distributed Shared Memory (ccNUMA) |
| Parallel Filesystem |
SGI CXFS
| Scratch: |
43 TB
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| Projects: |
86 TB
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| Software |
Operating System |
SGI ProPack 5
Kernel: 2.6.16
(as of August 6 2008) |
| Compilers |
Intel 10.1: Fortran77/90/95 C C++
GNU: Fortran77 C C++
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| Programming Model |
OpenMP, Message Passing Interface (MPI) |
| Program Analysis Tools |
Totalview |
| Floating point format |
IEEE |
| Batch System |
Portable Batch System (PBS Pro) with
MOAB Scheduler |
| Policies/User Limits |
Home directory disk quota |
50 GBytes |
| Interactive scratch quota |
None currently |
| Maximum disk per job |
No limits currently |
| Charging Algorithm |
(as of August 6 2008)
# SUs = ServiceLevel * Time
where
ServiceLevel = 1.0 for Normal Interactive
Normal Batch
Normal Dedicated Batch
= 1.25 for Industrial Batch
Industrial Dedicated Batch
Timeshared jobs:
Time = # CPUs allocated * Total Wall Clock
to the job Hours
Dedicated jobs:
Time = # CPUs on the host * Total Wall Clock
Hours
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The NCSA SGI Altix System (cobalt) is primarily intended to run applications
with moderate to high levels of parallelism (32-512 processors). Applications
running with a relatively small number of processors (ie. less than 16 CPUs), MPI
codes that perform well in a distributed cluster environment, and condor-type
computations are better suited to other HPC resources available at NCSA.
In particular, the cobalt is intended for:
- applications requiring large shared-memory (over 250GB)
- large scale simulations and hero runs
- high-end vizualization (via access to the Prism systems)
- codes with high inter-processor communications or inherent load
balancing challenges which perform better in an SMP environment
- large-scale interactive data analysis
- on-demand computing
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