Metrix/en-ca
Overview¶
The Metrix portal is a website for Alliance users. It leverages information collected from compute nodes and management servers to interactively generate data, allowing users to track their real-time resource usage (CPU, GPU, memory, file system).
| Cluster | URL |
|---|---|
| Rorqual | https://metrix.rorqual.alliancecan.ca |
| Narval | https://metrix.narval.alliancecan.ca |
| Nibi | https://portal.nibi.sharcnet.ca |
| tamIA | https://portail.tamia.ecpia.ca |
| Vulcan | https://metrix.vulcan.alliancecan.ca |
File System Performance This section provides bandwidth and metadata operation metrics, with visualization options for the last week, last day, and last hour.
Login Nodes CPU, memory, system load, and network usage statistics are presented in this tab, with visualization options for the last week, last day, and last hour.
Scheduling This tab presents statistics on allocated CPU cores and GPUs for the cluster, with visualization options for the last week, last day, and last hour.
Scientific Software The most used software applications with CPU cores and GPUs are presented.
Data Transfer Nodes Bandwidth statistics for data transfer nodes are presented in this tab.
User Summary¶
Under the User Summary tab, you will find your quotas for different file systems, followed by your 10 most recent jobs. You can select a job by its number to access its detailed page. Additionally, by clicking on (More details), you will be redirected directly to the Job Statistics tab, where you can view all your jobs.
Job Statistics¶
The first block displays your current usage (CPU core, memory, and GPUs). These statistics represent the average resources used by all currently running jobs. You can easily compare the resources allocated to you with those you are actually using.
You then have access to a daily average for recent days.
Next, you'll find a representation of your file system activity. This includes the number of disk write operations you have performed (Input/Output Operations Per Second (IOPS)) and the amount of data transferred to the servers over a given period (bandwidth).
The next section presents all jobs you have launched, which are currently running or pending. You can filter jobs by status (OOM, completed, running, etc.). You can also search by job ID or name. Finally, an option allows you to quickly navigate between pages by making multiple jumps.
CPU Job Page¶
At the top of the page, you'll find the job name, its number, your username, and the status. Details of your submission script are displayed by clicking on See job script. If the job was launched in interactive mode, the submission script will not be available.
The working directory and submission command are accessible by clicking on See submission command.
The next section is dedicated to scheduler information. You can access your CPU account tracking page by clicking on your account number.
In the Resources section, you can get an initial overview of your job's resource usage by comparing the Allocated and Used columns for the various listed parameters.
The CPU details allow you to see the CPU cores you requested over time. You can select/deselect different cores as needed. Note that for very short jobs, this information is not available.
The Memory details allow you to see the memory usage you requested over time.
The Process and threads details allow you to observe various parameters related to processes and execution threads. Ideally, for a multithreaded job, the sum of the Running threads and Sleeping threads parameters should not exceed twice the number of requested cores. However, it is entirely normal to have some processes in dormant (Sleeping threads) mode for certain types of programs (Java, MATLAB, commercial software, or complex programs). You also have the program applications executed over time as a parameter.
The following details represent file system usage for the current job, not the entire node. This includes the number of Input/Output Operations Per Second (IOPS) and the data transfer rate between the job and the file system over time. This information helps identify periods of intense activity or low file system utilization.
For full node resource statistics, be aware that these may be imprecise if the node is shared among multiple users. This section illustrates the evolution of bandwidth used by the job over time, in relation to software, licenses, etc. It also represents the evolution of network bandwidth used by a job or set of jobs via the Infiniband network over time. This allows observation of periods of massive data transfer (e.g., reading/writing to a file system (Lustre), MPI communication between nodes).
This section illustrates the evolution of Input/Output Operations Per Second (IOPS) performed on the local disk over time, and the evolution of bandwidth used on the local disk over time, i.e., the amount of data read or written per second.
Representation of local disk space usage.
Representation of power consumption.
CPU Job Page (Job Array)¶
The CPU job page for a job array is identical to that of a regular CPU job, with the exception of the Other jobs in the array section. This section lists other job numbers belonging to the same job array, along with information on their status, name, start time, and end time.
GPU Job Page¶
At the top of the page, you'll find the job name, its number, your username, and the status. Details of your submission script are displayed by clicking on See job script. If you launched an interactive job, the submission script is not available.
The directory and submission command are accessible by clicking on See submission command.
The next section is reserved for scheduler information. You can access your GPU account page by clicking on your account number.
In the Resources section, you can get an initial overview of your job's resource usage by comparing the Allocated and Used columns for the various listed parameters.
The CPU details allow you to see the usage of requested CPU cores over time. You can select/deselect different cores as needed. Note that for very short jobs, this information is not available.
The Memory details allow you to see the memory usage you requested for the CPUs over time.
The Process and threads details allow you to observe various parameters related to processes and execution threads.
The following details represent file system usage for the current job, not the entire node. This includes the number of Input/Output Operations Per Second (IOPS) and the data transfer rate between the job and the file system over time. This information helps identify periods of intense activity or low file system utilization.
The GPU details represent your GPU usage. The Streaming Multiprocessors (SM) active parameter indicates the percentage of time the GPU executes a warp (a group of consecutive threads) in the last sampling window. This value should ideally be around 80%. For SM occupancy (defined as the ratio of warps assigned to an SM to the maximum number of warps an SM can handle), a value around 50% is generally expected. Regarding the Tensor parameter, the value should be as high as possible. Ideally, your code should leverage this part of the GPU, optimized for multidimensional matrix multiplications and convolutions. Finally, for Floating Point operations (FP64, FP32, and FP16), you should observe significant activity on only one of these types, depending on the precision used by your code.
This section provides details on GPU memory usage and GPU memory access cycles. The latter represents the percentage of cycles during which the device's memory interface is active for sending or receiving data.
GPU power consumption details show the evolution of GPU energy consumption (in watts) over time.
This section shows the GPU bandwidth on the PCIe bus (or PCI Express, for Peripheral Component Interconnect Express).
For full node resource statistics, be aware that these may be imprecise if the node is shared among multiple users. This section illustrates the evolution of bandwidth used by the job over time, in relation to software, licenses, etc. It also represents the evolution of network bandwidth used by a job or set of jobs via the Infiniband network over time. This allows observation of periods of massive data transfer (e.g., reading/writing to a file system (Lustre), MPI communication between nodes).
This section illustrates the evolution of Input/Output Operations Per Second (IOPS) performed on the local disk over time, and the evolution of bandwidth used on the local disk over time, i.e., the amount of data read or written per second.
Representation of local disk space usage.
Representation of power consumption.
Account Statistics¶
The Account Statistics section groups your group's usage into two subsections: CPU and GPU.
CPU Account Statistics¶
Here you will find the sum of your group's CPU core requests, as well as their corresponding usage over the past months. You can also track the evolution of your priority, which varies based on your usage.
This section shows the most commonly used applications.
Here you can consult resource usage by each user in your group.
This section shows the evolution over time of wasted CPU cores by each user in the group.
Here you can consult memory usage by each user in your group.
This section represents the memory wasted by each user.
Next, you'll find a representation of your file system activity. This includes the number of disk write operations you have performed (Input/Output Operations Per Second (IOPS)) and the amount of data transferred to the servers over a given period (bandwidth).
You have a list of the most recent jobs that have been performed for the entire group.
GPU Account Statistics¶
Here you will find the sum of your group's GPU requests, as well as their corresponding usage over the past months. You can also track the evolution of your priority, which varies based on your usage.
This section represents the most commonly used applications.
Here you can consult resource usage by each user in your group.
The following section represents, over time, the amount of GPU resources wasted per user.
Next, you have the CPU cores allocated and used in your GPU jobs.
This section illustrates the wastage of CPUs within your GPU jobs.
Here you can view memory usage for each user in your group.
This section illustrates the memory wasted by each user.
Next, you'll find a representation of your file system activity. This includes the number of disk write operations you have performed (Input/Output Operations Per Second (IOPS)) and the amount of data transferred to the servers over a given period (bandwidth).
Here is a list of the most recent jobs performed by your group.
Cloud Statistics¶
The first table, 'Your Instances,' presents all virtual machines associated with an account. The 'Flavor' column refers to the virtual machine type. The 'UUID' column corresponds to a unique identifier assigned to each virtual machine.
Each virtual machine then has its own usage statistics (CPU Cores, Memory, Disk Bandwidth, Disk IOPS, and Network Bandwidth) available for the last month, last week, last day, or last hour.