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ASCT writes `diff.csv` to the output directory. It also generates comparison plots for supported benchmarks (latency sweep, bandwidth sweep, loaded latency) as PNG files in the same directory.
Copy file name to clipboardExpand all lines: content/learning-paths/servers-and-cloud-computing/memory-subsystem/system-overview.md
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@@ -12,7 +12,7 @@ Before you can characterize a memory subsystem, you need to understand how the s
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This Learning Path uses two example AWS Graviton instances:
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- AWS Graviton2, `c6g.metal`, instance with Arm Neoverse N1 cores.
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- AWS Graviton2, `c6g.16xlarge`, instance with Arm Neoverse N1 cores.
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- AWS Graviton4, `c8g.16xlarge`, instance with Arm Neoverse V2 cores.
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Both systems run Ubuntu 24.04 with 64 CPUs, 128 GB RAM, and 32 GB of storage.
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## Collect basic system information
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Start by recording the kernel version and operating system. Run the following command on your system:
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Start by setting a descriptive hostname on each system. This makes it easier to identify results later when you use `$(hostname)` in output directory names.
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On the Graviton4 instance, run:
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```bash
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sudo hostnamectl set-hostname graviton4-c8g
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```
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On the Graviton2 instance, run:
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```bash
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sudo hostnamectl set-hostname graviton2-c6g
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```
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Log out and log back in for the hostname to appear in your shell prompt.
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Record the kernel version and operating system. Run the following command on your system:
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```bash
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uname -a && cat /etc/os-release
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Both systems have 128 GB RAM with similar output:
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```output
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. total used free shared buff/cache available
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Mem: 125Gi 1.8Gi124Gi2.4Mi686Mi123Gi
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total used free shared buff/cache available
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Mem: 123Gi 1.6Gi121Gi1.2Mi1.2Gi121Gi
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```
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Graviton2 instances use DDR4 memory. Graviton4 instances use DDR5 memory, which provides higher bandwidth per channel and lower access latency.
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