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You will be doing your Intro to Computer Systems (ICS) lab assignments
on a cluster of rack-mounted Intel Nehalem-based servers called the
shark machines. This cluster was donated by the Intel Labs
Higher Education group for the ICS course. The original 15-213
cluster machines were known as the fish machines. Our new
cluster systems are much bigger and faster, so it seems fitting to
call them the shark machines.
Shark machines available to students
There are 10 machines available to students. They run the identical
RHEL 6.1 operating system as the Andrew cluster machines. ICS
students and teaching staff can login to them using their Andrew
credentials. For example, if your Andrew ID is bovik, then
you can login to a random shark machine:
unix> ssh bovik@shark.ics.cs.cmu.edu
or a specific machine:
unix> ssh bovik@angelshark.ics.cs.cmu.edu
| angelshark.ics.cs.cmu.edu | bambooshark.ics.cs.cmu.edu |
baskingshark.ics.cs.cmu.edu | blueshark.ics.cs.cmu.edu |
carpetshark.ics.cs.cmu.edu |
|
catshark.ics.cs.cmu.edu | hammerheadshark.ics.cs.cmu.edu |
houndshark.ics.cs.cmu.edu | lemonshark.ics.cs.cmu.edu |
makoshark.ics.cs.cmu.edu |
Shark machines available to teaching staff only
Greatwhite.ics.cs.cmu.edu is the Autolab server. Teaching
staff can login to it using their Andrew credentials. There are also
10 servers that Autolab uses to autograde student handins. Each
autograding job is performed on a RHEL 6.1 virtual machine managed by the Apache Tashi system,
which was developed by Intel Labs
Pittsburgh and the Carnegie Mellon Parallel Data Lab.
| greatwhite.ics.cs.cmu.edu
|
| megamouth.ics.cs.cmu.edu
| milkshark.ics.cs.cmu.edu
| nurseshark.ics.cs.cmu.edu
| pygmyshark.ics.cs.cmu.edu
| reefshark.ics.cs.cmu.edu
|
| rivershark.ics.cs.cmu.edu
| roughshark.ics.cs.cmu.edu
| sandshark.ics.cs.cmu.edu
| sawshark.ics.cs.cmu.edu
| tigershark.ics.cs.cmu.edu
|
Frequently Asked Questions
Q: How do I get an account?
A: Accounts will be created for you automatically.
If you can't login, please send mail to your instructor.
Technical specs
- Head node (greatwhite)
- Dell R710 with 2 x Intel E5620 CPUs, 2.67 GHz peak,
32 GB DRAM, 8 Nehalem cores, 8 TB SATA RAID.
- 64-bit Enterprise Red Hat (Linux kernel 2.6.18)
- 20 Compute nodes (autograding servers and student machines):
- Dell R410, 2x Intel E5520 CPUS, 2.67 GHz peak,
24 GB DRAM, 8 Nehalem cores, 160 GB SATA disk
- Student machines:
64-bit Enterprise Red Hat (Linux kernel 2.6.18)
- Autograding servers:
Ubuntu Linux running Ubuntu virtual machines managed by Tashi
- Nehalem processor cores:
- 2-way hyperthreading
- L1 d-cache: 32 KB, 8-way associative (per core)
- L1 i-cache: 32 KB, 8-way associative (per core)
- L2 unified cache: 256 KB, 8-way associative (per core)
- L3 cache: 8 MB, 16-way associative (shared by all cores)
- 64-byte block size for L1, L2, and L3
- L1 d-TLB: 64 entries, 4-way associative (per core)
- L1 i-TLB: 128 entries, 4-way associative (per core)
- L2 unified TLB: 512 entries, 4-way associative
- DDR3 on-chip memory controller
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