Contribution of compute capacity from the
Georgia State University entity named GSU - ACIDS.
Description of this Compute Entrypoint (CE): Hosted CE for ACIDS resource at GSU
Displays the CPUs allocated to and contributed by EPs at this site.
Displays the memory allocated to and contributed by EPs at this site.
Displays the disk allocated to and contributed by EPs at this site.
Displays the Basic Compute Units (BCUs) allocated to and contributed by EPs at this site. 1 BCU is defined as 1 CPU core, 4 GB of memory, and 4 GB of disk. Total BCUs are calculated based on the most constrained resource.
For example, if a site contributes the following:
Its BCU contribution would be 2 BCUs, since the CPU cores are the limiting factor.
Displays the ratio between memory and cpus allocated to and contributed by EPs at this site.
Displays the ratio between disk and cpus allocated to and contributed by EPs at this site.
Displays the count of different organizational units that have utilized resources at this site.
Displays the sum total of resources allocated by the site per day, multiplied by the duration for which they were allocated. For example, if 4 CPUs were allocated for 5 hours, that would contribute 20 CPU Hours to the total for that day.
For each resource type, display the maximum percentage of running Execution Points (EPs) that were limited by that resource on a given day. Here, "limited" is defined as having over 90% of a resource allocated to the EP used by running jobs.
For example, if an EP has 16 GB of memory and jobs running on the EP occupy 15 GB of memory, then the EP would be considered memory-limited. If 8 of the 10 EPs running at the site were memory-limited, then the site would be 80% memory-limited at that time.
Values displayed are the maximum percentages observed on that day. If, at any point in the day, 90% of concurrently running EPs were CPU-limited, the value for that day would be 90%.
Displays the count of running execution points at this site.
For the given time range (day, week, or month), display the percentage of total CPU allocation at the site used by each project that ran jobs at the site.