Streamlining HPC Workloads with Containers

•

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One might find it ironic that some of the world's fastest supercomputers -- vast clusters capable of trillions of floating point operations per second -- can take upwards of a half an hour to reboot in between jobs. While we often talk about the density advantages of containers, it's the opposite approach that we use in the High Performance Computing world! Here, we use exactly 1 system container per node, giving it unlimited access to all of the host's CPU, Memory, Disk, IO, and Network. And yet we can still leverage the management characteristics of containers -- security, snapshots, live migration, and instant deployment to recycle each node in between jobs. In this talk, we'll examine a reference architecture and some best practices around containers in HPC environments.

Tecnologia

Streamlining HPC Workloads
with Containers
@DustinKirkland

what does
high-performance computing
look like?

Your DevOps engineer launches...
x1.32xlarge

But
then
there
is
your
real,
actual
data
center...

big problems are
distributed across a cluster

virtual machines
always involve overhead

VM MonitorVMXON VMXOFF
Guest
VM EntryVM Exit

BIOS is checking memory for problems…
Scanning 1,199,511,627,776 bytes…
This may take several minutes…
Running test 1 of 8: 1.0% complete
Overall test status: 0.1% complete
Time elapsed: 17m23s
Status:
No problems have been found yet.

➢ Ultra fast “vm-lite” guests (bare metal speed)
➢ Any distribution of Linux - e.g. Ubuntu, CentOS
➢ Starts in less than 1 second
➢ 15x density of KVM or ESX for idle workloads
host A
nova-lxd lxc cli
lxdkernel
other restful apps
lxc
machine
LXD REST API
host B
lxc
machine
lxdkernel
host C host D host ...
lxc
machine
lxc
machine
lxc
machine
lxdkernel lxdkernel lxdkernel

CPU Cores
CPU Cycles
Memory
Disk Space
Disk IO
Network IO
One LXD container,
with 100% of the system:
“alloy” mode

but secured from the
underlying hardware and OS

cgroups, user namespaces,
apparmor, seccomp

ubuntu.com/lxd
github.com/lxc
linuxcontainers.org

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Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

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Streamlining HPC Workloads with Containers

1. Streamlining HPC Workloads with Containers @DustinKirkland

2. what does high-performance computing look like?

3. Wikipedia says...

4. Or perhaps in China...

5. Google image search shows...

6. The university student learns...

7. HackerNews suggests...

8. Your DevOps engineer launches... x1.32xlarge

9. But then there is your real, actual data center...

10. what do all of these have in common?

11. a lot, actually

12. they’re all running Linux

13. directly on the bare metal itself

14. performance is maximized

15. overhead is minimized

16. big problems are distributed across a cluster

17. everyone prefers a clean environment

18. virtual machines always involve overhead

19. VM MonitorVMXON VMXOFF Guest VM EntryVM Exit

20. oh, and let’s reboot a datacenter

21.

22. BIOS is checking memory for problems… Scanning 1,199,511,627,776 bytes… This may take several minutes… Running test 1 of 8: 1.0% complete Overall test status: 0.1% complete Time elapsed: 17m23s Status: No problems have been found yet.

23.

24. so let’s have a look at containers

25. first, process containers

26. awesome for HPC functions

27.

28.

29.

30. LXD

31. second, machine containers

32.

33. ➢ Ultra fast “vm-lite” guests (bare metal speed) ➢ Any distribution of Linux - e.g. Ubuntu, CentOS ➢ Starts in less than 1 second ➢ 15x density of KVM or ESX for idle workloads host A nova-lxd lxc cli lxdkernel other restful apps lxc machine LXD REST API host B lxc machine lxdkernel host C host D host ... lxc machine lxc machine lxc machine lxdkernel lxdkernel lxdkernel

34. ➢ Ultra fast “vm-lite” guests (bare metal speed) ➢ Any distribution of Linux - e.g. Ubuntu, CentOS ➢ Starts in less than 1 second ➢ 15x density of KVM or ESX for idle workloads host A nova-lxd lxc cli lxdkernel other restful apps LXD REST API host B lxdkernel host C host D host ... lxdkernel lxdkernel lxdkernel lxc machine lxc machine lxc machine lxc machine lxc machine

35. CPU Cores CPU Cycles Memory Disk Space Disk IO Network IO One LXD container, with 100% of the system: “alloy” mode

36. exclusive access to system resources

37. but secured from the underlying hardware and OS

38. cgroups, user namespaces, apparmor, seccomp

39. instant startup

40. looks like a machine, Linux on Linux

41. zero latency

42. zero overhead

43. identical performance

44. snapshot restore

45. live migration

46. demo