The Flux HPC ClusterFlux is the shared, Linux-based high-performance computing (HPC) cluster available to all researchers at the University of Michigan.

Flux consists of approximately 27,000 cores – including 1,372 compute nodes composed of multiple CPU cores, with at least 4 GB of RAM per core, interconnected with InfiniBand networking.

Please see the following pages for more information on Flux:

For technical support, please email

Unit-specific Flux Allocations

Flux Operating Environment

The Flux Operating Environment (FOE) supports researchers with grants that require the purchase of computing hardware. FOE allows researchers to place their own hardware within the Flux cluster.

For more information, visit our FOE page.

Flux On Demand

Flux on Demand (FOD) allows users to run jobs as needed without committing to a month-long allocation. FOD may be the right choice for users with sporadic workloads that don’t result in consistent sets of jobs run over the course of a month. FOD jobs have access to 3,900 Standard Flux processors.

To create a Flux On Demand allocation, email with the list of users who should have access to the account. See the ARC-TS Computing Resources Rates page for details on the costs of Flux On Demand.

Large Memory Flux

Flux has 360 cores with larger amounts of RAM — about 25GB per core, or 1TB in a 40-core node. Large Memory Flux is designed for researchers with codes requiring large amounts of RAM or cores in a single system.

For information on determining the size of a Flux allocation, please see our pages on How Flux WorksSizing a Flux Order, and Managing a Flux Project.


The Flux cluster has 40 NVIDIA K20x GPUs and 24 NVIDIA K40 GPUs available for researchers who have applications that can benefit from the acceleration provided by GPU co-processors. In addition, the software library on Flux has several programs that can benefit from these accelerators.

Flux has 40 K20x GPUs connected to 5 compute nodes. Each GPU allocation comes with 2 compute cores and 8GB of CPU RAM.

NVIDIA Tesla K20x specifications

Number and Type of GPU one Kepler GK110
Peak double precision floating point perf. 1.31 Tflops
Peak single precision floating point perf. 3.95 Tflops
Memory bandwidth (ECC off) 250 GB/sec
Memory size (GDDR5) 6 GB
CUDA cores 2688

If you have questions, please send email to

Order Service

For information on determining the size of a Flux allocation, please see our pages on How Flux Works, Sizing a Flux Order, and Managing a Flux Project.

To order:

1. Fill out the ARC-TS HPC account request form.

2. Email with the following information:

  • the number of cores needed
  • the start date and number of months for the allocation
  • the shortcode for the funding source
  • the list of people who should have access to the allocation
  • the list of people who can change the user list and augment or end the allocations.

For information on costs, visit our Rates page.

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