Hardware
| Hardware Name | Intended Use | Operating System | FQDN | Specification Comparison |
|---|---|---|---|---|
| BigRam |
Bigram is intended for jobs that cannot be parallelized and require a large amount of RAM memory, such as de novo genome assembly. |
RedHat Enterprise Linux 7 | bigram.ent.iastate.edu |
 |
| Biocrunch |
Biocrunch is a shared computing resource for those who need multithreaded computation but are not yet prepared to use a traditional HPC cluster, or need more flexibility than is provided through the cluster scheduler. |
RedHat Enterprise Linux 7 | biocrunch.ent.iastate.edu |
 |
| Biocrunch2 |
Biocrunch2 is a shared computing resource for those who need multithreaded computation but are not yet prepared to use a traditional HPC cluster, or need more flexibility than is provided through the cluster scheduler. |
RedHat Enterprise Linux 7 | biocrunch2.las.iastate.edu |
 |
| Biocrunch3 |
Biocrunch3 is a shared computing resource for those who need multithreaded computation but are not yet prepared to use a traditional HPC cluster, or need more flexibility than is provided through the cluster scheduler. |
RedHat Enterprise Linux 7 | biocrunch3.las.iastate.edu |
 |
| Condo2017 Cluster Compute Nodes |
The HPC Condo cluster is composed of 188 compute nodes, in addition to the head node, data transfer node, a "large" memory node, and a "huge" memory node. Each of the nodes are connected via Intel QDR InfiniBand (40 Mbps) switch, and run Red Hat Enterprise Linux 6. The ResearchIT group has the ability to help researchers establish accounts, compile and install software, and provide support for the cluster. Thee LAS college has a large allocation, and can help researchers get started on the Condo quickly. Please contact us at researchit@iastate.edu if you would like to discuss your research needs and get started on this University resource.
|
RedHat Enterprise Linux 7 | condo2017.its.iastate.edu |
 |
| Condo2017 Cluster Huge Memory Node |
In addition to the compute nodes, the Condo2017 cluster also contains a "huge" memory node |
RedHat Enterprise Linux 7 | condo2017.its.iastate.edu |
 |
| Condo2017 Cluster Large Memory Node |
In addition to the compute nodes, the Condo2017 cluster also contains a "large" memory node |
RedHat Enterprise Linux 7 | condo2017.its.iastate.edu |
 |
| Condo2017 Free Tier |
The Condo2017 Free Tier is composed of 48 nodes from the cluster previously named ClusterOne, and prior to that named LHB-NGS and LHB-PS. This cluster is running the RISA software repository, and is a good place to run MPI capable programs. These nodes are slightly older than the regular compute nodes in the Condo cluster, and the processors are not as fast. This tier is being made available to any research group in the University as a way to become introduced to the HPC environment without an upfront cost commitment. Please email researchit@iastate.edu to obtain access.
|
RedHat Enterprise Linux 7 | condo2017.las.iastate.edu |
 |
| GPU01 |
This server contains 8 Nvidia 1080Ti GPUs and is meant for running code that has been compiled to run on a GPU, using a tool such as CUDA, OpenMP, OpenACC, etc. The type of applications commonly run on this server are cryoEM, deep learning, and molecular dynamics. |
RedHat Enterprise Linux 7 | gpu01.las.iastate.edu | |
| Laswin01(Windows Remote Desktop) |
Laswin01 is a shared computing resource with Windows as the OS for the system. This system is for applications requiring and only supporting Windows OS. |
Windows Server 2012 R2 | laswin01.las.iastate.edu |
 |
| Legion |
The Legion servers are best for problems which can be highly parallelized (particularly where each thread is doing something slightly different from the others). Each legion node has a very large number of cores available, but those cores are slower than those found on a typical Intel Xeon processor like you'll find on our other servers. Due to the large number of cores, these servers are faster at processing particular types of workloads such as molecular dynamics, genome alignment, and monte carlo simulations. We have 8 Legion servers behind a head node running the SLURM job scheduler. Each node has 272 threads available, and 384GB of RAM. |
RedHat Enterprise Linux 7 | legion.las.iastate.edu |
 |
| RIT1 |
General purpose research computing server |
RedHat Enterprise Linux 7 | rit1.las.iastate.edu |
 |
| RIT2 |
General purpose research computing server |
RedHat Enterprise Linux 7 | rit2.las.iastate.edu |
 |
| Speedy |
Speedy is intended for jobs that cannot be massively parallelized and require the fastest CPU and memory bandwidth possible, such as R jobs or single-threaded pipelines. |
RedHat Enterprise Linux 7 | speedy.ent.iastate.edu |
 |
| Speedy2 |
Speedy2 is intended for jobs that cannot be massively parallelized and require the fastest CPU and memory bandwidth possible, such as R jobs or single-threaded pipelines. |
RedHat Enterprise Linux 7 | speedy2.ent.iastate.edu |
 |
| Speedy3 |
Speedy3 is intended for jobs that cannot be massively parallelized and require the fastest CPU and memory bandwidth possible, such as R jobs or single-threaded pipelines. |
RedHat Enterprise Linux 7 | speedy3.las.iastate.edu |