High Performance Linux Clusters

High Performance Linux Clusters

Guru Session, Usenix, Boston

June 30, 2004

Greg Bruno, SDSC

Overview of San Diego Supercomputer Center Founded in 1985

Non-military access to supercomputers

Over 400 employees Mission: Innovate, develop, and

deploy technology to advance science Recognized as an international leader

in: Grid and Cluster Computing Data Management High Performance Computing Networking Visualization

Primarily funded by NSF

My Background

1984 - 1998: NCR - Helped to build the world’s largest database computers Saw the transistion from proprietary parallel systems to

clusters

1999 - 2000: HPVM - Helped build Windows clusters

2000 - Now: Rocks - Helping to build Linux-based clusters

Why Clusters?

Moore’s Law

Cluster Pioneers

In the mid-1990s, Network of Workstations project (UC Berkeley) and the Beowulf Project (NASA) asked the question:

Can You Build a High Performance Machine FromCommodity Components?

The Answer is: Yes

Source: Dave Pierce, SIO

The Answer is: Yes

Types of Clusters

High Availability Generally small (less than 8 nodes)

Visualization

High Performance Computational tools for scientific computing Large database machines

High Availability Cluster

Composed of redundant components and multiple communication paths

Visualization Cluster

Each node in the cluster drives a display

High Performance Cluster

Constructed with many compute nodes and often a high-performance interconnect

Cluster Hardware Components

Cluster Processors

Pentium/Athlon Opteron Itanium

Processors: x86

Most prevalent processor used in commodity clustering

Fastest integer processor on the planet: 3.4 GHz Pentium 4, SPEC2000int: 1705

Processors: x86

Capable floating point performance #5 machine on Top500 list built with Pentium 4

processors

Processors: Opteron

Newest 64-bit processor Excellent integer performance

SPEC2000int: 1655

Good floating point performance SPEC2000fp: 1691 #10 machine on Top500

Processors: Itanium First systems released June 2001 Decent integer performance

SPEC2000int: 1404

Fastest floating-point performance on the planet SPEC2000fp: 2161

Impressive Linpack efficiency: 86%

Processors Summary

Processor GHz SPECint SPECfp Price

Pentium 4 EE

3.4 1705 1561 791

Athlon

FX-51

2.2 1447 1423 728

Opteron 150 2.4 1655 1644 615

Itanium 2 1.5 1404 2161 4798

Itanium 2 1.3 1162 1891 1700

Power4+ 1.7 1158 1776 ????

QuickTime™ and aTIFF (Uncompressed) decompressorare needed to see this picture.

But What You Really Build?

Itanium: Dell PowerEdge 3250 Two 1.4 GHz CPUs (1.5 MB cache)

11.2 Gflops peak

2 GB memory 36 GB disk $7,700

Two 1.5 GHz (6 MB cache) makes the system cost ~$17,700

1.4 GHz vs. 1.5 GHz ~7% slower ~130% cheaper

QuickTime™ and aTIFF (Uncompressed) decompressor

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Opteron

IBM eServer 325 Two 2.0 GHz Opteron 246

8 Gflops peak


Two 2.4 GHz CPUs: $5,691


Pentium 4 Xeon

HP DL140 Two 3.06 GHz CPUs

12 Gflops peak


Two 3.2 GHz: $3,368


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If You Had $100,000 To Spend On A Compute Farm

System# of Boxes

Peak GFlops

Aggregate

SPEC2000fp

Aggregate

SPEC2000int

Pentium 4

3 GHz

35 420 89810 104370

Opteron 246 2.0 GHz

22 176 56892 57948

Itanium

1.4 GHz

12 132 46608 24528

What People Are Buying

Gartner study

Servers shipped in 1Q04 Itanium: 6,281 Opteron: 31,184

Opteron shipped 5x more servers than Itanium

What Are People Buying

Gartner study

Servers shipped in 1Q04 Itanium: 6,281 Opteron: 31,184 Pentium: 1,000,000

Pentium shipped 30x more than Opteron

Interconnects

Interconnects

Ethernet Most prevalent on clusters

Low-latency interconnects Myrinet Infiniband Quadrics Ammasso

Why Low-Latency Interconnects?

Performance Lower latency Higher bandwidth

Accomplished through OS-bypass

How Low Latency Interconnects Work

Decrease latency for a packet by reducing the number memory copies per packet

Bisection Bandwidth

Definition: If split system in half, what is the maximum amount of data that can pass between each half?

Assuming 1 Gb/s links: Bisection bandwidth = 1 Gb/s

Bisection Bandwidth

Assuming 1 Gb/s links: Bisection bandwidth = 2 Gb/s

Bisection Bandwidth

Definition: Full bisection bandwidth is a network topology that can support N/2 simultaneous communication streams.

That is, the nodes on one half of the network can communicate with the nodes on the other half at full speed.

Large Networks When run out of ports on a single switch, then you must

add another network stage

In example above: Assuming 1 Gb/s links, uplinks from stage 1 switches to stage 2 switches must carry at least 6 Gb/s

Large Networks

With low-port count switches, need many switches on large systems in order to maintain full bisection bandwidth

128-node system with 32-port switches requires 12 switches and 256 total cables

Myrinet

Long-time interconnect vendor Delivering products since 1995

Deliver single 128-port full bisection bandwidth switch

MPI Performance: Latency: 6.7 us Bandwidth: 245 MB/s Cost/port (based on 64-port configuration): $1000

Switch + NIC + cable http://www.myri.com/myrinet/product_list.html



Myrinet

Recently announced 256-port switch Available August 2004



Myrinet

#5 System on Top500 list

System sustains 64% of peak performance But smaller Myrinet-connected systems hit 70-75% of

peak

Quadrics

QsNetII E-series Released at the end of May 2004

Deliver 128-port standalone switches

MPI Performance: Latency: 3 us Bandwidth: 900 MB/s Cost/port (based on 64-port configuration): $1800

Switch + NIC + cable http://doc.quadrics.com/Quadrics/QuadricsHome.nsf/

DisplayPages/A3EE4AED738B6E2480256DD30057B227

Quadrics

#2 on Top500 list

Sustains 86% of peak Other Quadrics-connected systems on Top500 list

sustain 70-75% of peak

Infiniband

Newest cluster interconnect

Currently shipping 32-port switches and 192-port switches

MPI Performance: Latency: 6.8 us Bandwidth: 840 MB/s Estimated cost/port (based on 64-port configuration): $1700 -

3000 Switch + NIC + cable http://www.techonline.com/community/related_content/24364

Ethernet

Latency: 80 us

Bandwidth: 100 MB/s

Top500 list has ethernet-based systems sustaining between 35-59% of peak

Ethernet

With Myrinet, would have sustained ~1 Tflop At a cost of ~$130,000

Roughly 1/3 the cost of the system

What we did with 128 nodes and a $13,000 ethernet network $101 / port

$28/port with our latest Gigabit Ethernet switch Sustained 48% of peak

Rockstar Topology

24-port switches Not a symmetric network

Best case - 4:1 bisection bandwidth Worst case - 8:1 Average - 5.3:1

Low-Latency Ethernet

Bring os-bypass to ethernet Projected performance:

Latency: less than 20 us Bandwidth: 100 MB/s

Potentially could merge management and high-performance networks

Vendor “Ammasso”

Application Benefits

Storage

Local Storage

Exported to compute nodes via NFS

Network Attached Storage

A NAS box is an embedded NFS appliance

Storage Area Network

Provides a disk block interface over a network (Fibre Channel or Ethernet) Moves the shared disks out of the servers and onto the network Still requires a central service to coordinate file system operations

Parallel Virtual File System

PVFS version 1 has no fault tolerance PVFS version 2 (in beta) has fault tolerance mechanisms

Lustre

Open Source “Object-based” storage

Files become objects, not blocks

Cluster Software

Cluster Software Stack

Linux Kernel/Environment RedHat, SuSE, Debian, etc.


HPC Device Drivers Interconnect driver (e.g., Myrinet, Infiniband, Quadrics) Storage drivers (e.g., PVFS)


Job Scheduling and Launching Sun Grid Engine (SGE) Portable Batch System (PBS) Load Sharing Facility (LSF)


Cluster Software Management E.g., Rocks, OSCAR, Scyld


Cluster State Management and Monitoring Monitoring: Ganglia, Clumon, Nagios, Tripwire, Big Brother Management: Node naming and configuration (e.g., DHCP)


Message Passing and Communication Layer E.g., Sockets, MPICH, PVM


Parallel Code / Web Farm / Grid / Computer Lab Locally developed code


Questions: How to deploy this stack across every machine in the cluster? How to keep this stack consistent across every machine?

Software Deployment

Known methods: Manual Approach “Add-on” method

Bring up a frontend, then add cluster packages OpenMosix, OSCAR, Warewulf

Integrated Cluster packages are added at frontend installation time

Rocks, Scyld

Primary Goal

Make clusters easy

Target audience: Scientists who want a capable computational resource in their own lab

Philosophy Not fun to “care and feed” for a system All compute nodes are 100% automatically

installed Critical for scaling

Essential to track software updates RHEL 3.0 has issued 232 source RPM updates since Oct

21 Roughly 1 updated SRPM per day

Run on heterogeneous standard high volume components Use the components that offer the best

price/performance!

More Philosophy

Use installation as common mechanism to manage a cluster Everyone installs a system:

On initial bring up When replacing a dead node Adding new nodes

Rocks also uses installation to keep software consistent If you catch yourself wondering if a node’s software is up-to-

date, reinstall! In 10 minutes, all doubt is erased

Rocks doesn’t attempt to incrementally update software

Rocks Cluster Distribution

Fully-automated cluster-aware distribution Cluster on a CD set

Software Packages Full Red Hat Linux distribution

Red Hat Linux Enterprise 3.0 rebuilt from source De-facto standard cluster packages Rocks packages Rocks community packages

System Configuration Configure the services in packages

Rocks Hardware Architecture

Minimum Components

X86, Opteron, IA64 server

Local HardDrive

Power

Ethernet

OS on all nodes (not SSI)

Optional Components

Myrinet high-performance network Infiniband support in Nov 2004

Network-addressable power distribution unit

keyboard/video/mouse network not required Non-commodity How do you manage your management

network? Crash carts have a lower TCO

Storage

NFS The frontend exports all home directories

Parallel Virtual File System version 1 System nodes can be targeted as Compute + PVFS or

strictly PVFS nodes

Minimum Hardware Requirements

Frontend: 2 ethernet connections 18 GB disk drive 512 MB memory

Compute: 1 ethernet connection 18 GB disk drive 512 MB memory

Power Ethernet switches

Rocks ‘Rolls’

Rolls are containers for software packages and the configuration scripts for the packages

Rolls dissect a monolithic distribution

Rolls: User-Customizable Frontends

Rolls are added by the Red Hat installer Software is added and configured at initial installation

time

Benefit: apply security patches during initial installation This method is more secure than the add-on method

Red Hat Installer Modified to Accept Rolls

Approach Install a frontend

1. Insert Rocks Base CD2. Insert Roll CDs (optional components)3. Answer 7 screens of configuration data4. Drink coffee (takes about 30 minutes to install)

Install compute nodes:1. Login to frontend2. Execute insert-ethers3. Boot compute node with Rocks Base CD (or PXE)4. Insert-ethers discovers nodes5. Goto step 3

Add user accounts Start computing Optional Rolls

Condor Grid (based on NMI R4) Intel (compilers) Java SCE (developed in Thailand) Sun Grid Engine PBS (developed in Norway) Area51 (security monitoring tools)

Login to Frontend

Create ssh public/private key Ask for ‘passphrase’ These keys are used to securely login into compute

nodes without having to enter a password each time you login to a compute node

Execute ‘insert-ethers’ This utility listens for new compute nodes

Insert-ethers

Used to integrate “appliances” into the cluster

Boot a Compute Node in Installation Mode

Instruct the node to network boot Network boot forces the compute node to run the PXE protocol (Pre-

eXecution Environment)

Also can use the Rocks Base CD If no CD and no PXE-enabled NIC, can use a boot floppy built from

‘Etherboot’ (http://www.rom-o-matic.net)

Insert-ethers Discovers the Node

Insert-ethers Status

eKVEthernet Keyboard and Video

Monitor your compute node installation over the ethernet network No KVM required!

Execute: ‘ssh compute-0-0’

Node Info Stored In A MySQL Database

If you know SQL, you can execute some powerful commands

Cluster Database

Kickstart

Red Hat’s Kickstart Monolithic flat ASCII file No macro language Requires forking based on site

information and node type.

Rocks XML Kickstart Decompose a kickstart file into

nodes and a graph Graph specifies OO framework Each node specifies a service and its

configuration Macros and SQL for site

configuration Driven from web cgi script

Sample Node File<?xml version="1.0" standalone="no"?><!DOCTYPE kickstart SYSTEM "@KICKSTART_DTD@" [<!ENTITY ssh "openssh">]><kickstart>

<description>Enable SSH</description>

<package>&ssh;</package><package>&ssh;-clients</package><package>&ssh;-server</package><package>&ssh;-askpass</package>

<post>

<file name="/etc/ssh/ssh_config">Host * CheckHostIP no ForwardX11 yes ForwardAgent yes StrictHostKeyChecking no UsePrivilegedPort no FallBackToRsh no Protocol 1,2</file>

chmod o+rx /rootmkdir /root/.sshchmod o+rx /root/.ssh

</post></kickstart>>

Sample Graph File<?xml version="1.0" standalone="no"?><!DOCTYPE kickstart SYSTEM "@GRAPH_DTD@">

<graph><description>Default Graph for NPACI Rocks.</description>

<edge from="base" to="scripting"/><edge from="base" to="ssh"/><edge from="base" to="ssl"/><edge from="base" to="lilo" arch="i386"/><edge from="base" to="elilo" arch="ia64"/>

…<edge from="node" to="base" weight="80"/><edge from="node" to="accounting"/><edge from="slave-node" to="node"/><edge from="slave-node" to="nis-client"/>

<edge from="slave-node" to="autofs-client"/> <edge from="slave-node" to="dhcp-client"/> <edge from="slave-node" to="snmp-server"/> <edge from="slave-node" to="node-certs"/> <edge from="compute" to="slave-node"/> <edge from="compute" to="usher-server"/> <edge from="master-node" to="node"/> <edge from="master-node" to="x11"/> <edge from="master-node" to="usher-client"/></graph>

Kickstart framework

Appliances

Laptop / Desktop Appliances Final classes Node types

Desktop IsA standalone

Laptop IsA standalone pcmcia

Code re-use is good

Architecture Differences

Conditional inheritance Annotate edges with target

architectures if i386

Base IsA grub

if ia64 Base IsA elilo

One Graph, Many CPUs Heterogeneity is easy Not for SSI or Imaging

Installation Timeline

Status

But Are Rocks Clusters High Performance Systems? Rocks Clusters on June 2004 Top500 list:

What We Proposed To Sun

Let’s build a Top500 machine … … from the ground up … … in 2 hours … … in the Sun booth at Supercomputing ‘03

Rockstar Cluster (SC’03) Demonstrate

We are now in the age of “personal supercomputing”

Highlight abilities of: Rocks SGE

Top500 list #201 - November 2003 #413 - June 2004

Hardware 129 Intel Xeon servers

1 Frontend Node 128 Compute Nodes

Gigabit Ethernet $13,000 (US) 9 24-port switches 8 4-gigabit trunk uplinks

High Performance Linux Clusters

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