The CrySP Group's Computing Resources

The following computing resources are available to members of the CrySP group. The name in parens is the person to talk to if you want access.

• crunch.cs.uwaterloo.ca (IanG): 4-core (* 2 for hyperthreading) Intel Xeon E5620 2.40 GHz CPU, 8 GB RAM, 1.4 TB disk, dual 1 Gbit NIC, 2xM2050 GPUs, Ubuntu 22.04.4 LTS Linux 5.15.0 x86_64
• whoomp.cs.uwaterloo.ca (IanG): dual 4-core Intel Xeon E5420 2.50 GHz CPU, 32 GB RAM, 24 TB RAID, dual 1 Gbit NIC, Ubuntu 22.04.1 LTS Linux 5.15.0 x86_64
• chime.cs.uwaterloo.ca (IanG): 16-core (* 2 for hyperthreading) Inter Xeon Gold 6346 3.10 GHz CPU, 128 GB RAM, 196GB NVMe, 67TB SSD RAID, 10Gbps + dual 25Gbps NIC, Ubuntu 22.04 Linux 5.15.0 x86_64, SGX enabled
  • This machine hosts the CrySP git servers (git-crysp.uwaterloo.ca)
• gurgle.cs.uwaterloo.ca (IanG): Dual-core Intel Pentium D 3.00 GHz CPU, 1 GB RAM, 80 GB disk, single 1 Gbit NIC, Ubuntu 18.04.4 LTS Linux 4.15.0 i686
• splash.cs.uwaterloo.ca (IanG): 4-core (* 2 for hyperthreading) Intel Xeon E3-1240 V2 3.4 GHz CPU, 32 GB RAM, 2 TB disk, dual 1 Gbit NIC, Ubuntu 20.04.2 LTS Linux 5.4.0 x86_64
  • splash is the machine hosting our Tor exit node.
• kappel.cs.uwaterloo.ca (Urs): Intel Xeon E3-1220 V6 3 GHz CPU, 8 GB RAM, 2 * 8 TB disk, Ubuntu LTS; intended for running production servers and storing datasets
• ebnat.cs.uwaterloo.ca (Urs): Intel Xeon E5-2640 V4 2.4 GHz CPU, 32 GB RAM, 480 GB SSD, 4 TB disk, Ubuntu LTS; intended as a compute server
• crysp-lt01.cs.uwaterloo.ca (Sergey): 4-core (* 2 for hyperthreading) Intel i7-6500U 2.50GHz CPU 8GB RAM, 500GB drive, single 1 GBit NIC, Windows 10 (Home), SGX enabled
• teeter.cs.uwaterloo.ca (IanG): 4-core (* 2 for hyperthreading) Intel Xeon E3-1270v6 3.8 GhZ CPU, 64 GB RAM, 2 TB SSD, 7.4 TB disk, dual 1 Gbps NIC (only 1 currently connected), Ubuntu 20.04.2 LTS Linux 5.4.0 x86_64, SGX enabled
• whisk.cs.uwaterloo.ca (IanG): 4-core (* 2 for hyperthreading) Intel Xeon E3-1240v2 3.40 GHz CPU, 32 GB RAM, 2 TB disk, Ubuntu 18.04.5 LTS Linux 4.15.0 x86_64
  • This machine hosts a number of production services
• cacr-breakfast.uwaterloo.ca (IanG): 8-core AMD Opteron 6320 2.8 GHz CPU, 64 GB RAM, 2 * 1TB disk, dual 1 Gbps NIC, Ubuntu 18.04.5 LTS Linux 4.15.0 x86_64
  • This machine hosts a number of production services

RIPPLE:

The CrySP RIPPLE Facility contains more than 20 machines, with the largest machine containing 144 cores and 12 TB of RAM. The machines have very fast (more than 100 Gbps) networking, and are suitable for large-scale network simulation as well as large-scale computation. The facility also has 64 NVIDIA GPUs. You book particular machines for particular times; you will be the only user of those machines at those times, and you will have live access to the machines so you can run your experiments during your reservation slot. The machines run standard Ubuntu installations that you can SSH into during your time slot. Talk to Ian Goldberg to get access to the CrySP RIPPLE Facility. Once you have access, you can reserve time on the machines using the booking system. The specs of the current machines in RIPPLE are:

• peep: 2 TB RAM, 80 cores (Intel Xeon E7-8870 at 2.40 GHz), 128 Gbps net, spinny disk RAID, SSD RAID
• grunt[0-7]: 1/4 TB RAM, 16 cores, 64 Gbps net, 4 NVIDIA K10 GPU cards, each containing 2 GK104 GPUs

• tick[0-6]: 1 TB RAM, 80 cores, 128 Gbps net
• tock: 2 TB RAM, 80 cores, 128 Gbps net

• clonk: 12 TB RAM, 144 cores, one 2 TB NVMe drive, one 350 GB NVMe drive (not yet in booking system, email Ian if you need access)

• click[0-1]: 1/2 TB RAM, 32 cores, 160 Gbps net
• clack[0-1]: 1/2 TB RAM, 32 cores (Intel Xeon E5-4640 at 2.40GHz), 160 Gbps net
• cluck[0-15]: 16 GB RAM, 4 cores (Intel Xeon E3-1271 v3 at 3.60 GHz), 40 Gbps net
• snoop[0-1]: Sandvine PTS 22600 (page 9 of sales brochure)

• gasp: POWER 8, 16 cores (128 threads), 1 TB RAM, 4 Tesla P100 GPUs, 40 Gbps net (not yet in booking system, email Florian if you need access)

$ Chippie Cluster:: The Chippie cluster is a compute facility for the use of CPI members, affiliates, and researchers sponsored by them.

SHARCNET:

A consortium of universities in Ontario participate in SHARCNET. Any student or faculty at any of those universities can use SHARCNET for free. In SHARCNET, you submit your jobs in a batch-like system, say how many machines you want it to run on, and your experiment will run at some point in the future, according to a scheduling algorithm. To get access, your supervisor has to sign up with Compute Canada and SHARCNET (free, but it takes a few days to process the signup). Then students can sign up, linking their accounts to their supervisors'.