Post on 21-May-2020
SGEKit
UniPortalKit
UniCloudKit
GangliaKit
UniSightKit
CactiKit
NagiosKit
OELKit
OVMKit
UniPlanKit
AmazonEC2Kit
RackspaceKit
GoGridKit
Everythingis a Kit
in UniCloudOEL5.XKit
CentOS5.XKit
RHEL5.XKit
BaseKit
Tortuga Framework
DHCP Server
MySQLDB
Tortuga Resource Adapter
Default
CherryPyWS
PythonCLI
OVMEC2
Rackspace
CFM SQLAlchemyApache httpd
ApacheTomcat
Log ServerKit Util
rsync
OS UtilResourceAdapters
For UniCloud
Tortuga Framework
for UniCloud GoGrid
Tortuga Storage Adapter
Nexentia NetApp
Tortuga Network Adapter
OpenVSwitch Cisco VMWareSystemImager
Default
HPCKit
VMWare
ApplicationKit 1
UniCloudKit
CactiKit
NagiosKit
AmazonEC2 Kit
RackspaceKit
GoGridKit
OEL5.XKit
CentOS5.XKit
RHEL5.XKit
BaseKit
Useror
Univa
Win7
WinServer Software Profiles
Define collectionof OS and Kits
to Create wholeOS and Application
Stack
ApplicationKit 2
MiddlewareKits
CloudKits
ApplicationKits
Kit Repo
YumRepo
distribution
MiddlewareSoftware
Application Software
OS KitsCreated
From Standard Media
WinServer
ApplicationKit 1
Win7
ApplicationKit 2
OEL5.X
NagiosKit
ApplicationKit 1
OEL5.X
BaseKit
UniCloudKit
RHEL5.X
BaseKit
AmazonEC2 Kit
distribution
MiddlewareSoftware
Application Software
Real or VirtualHardware
Amazon EC2 GoGrid VMWare Physical HW
+
Rackspace
Software Profile + Kits Hardware Profile
=
Amazon EC2
distribution
MiddlewareSoftware
Application Software
Rackspace
distribution
MiddlewareSoftware
Application Software
ordistribution
MiddlewareSoftware
Application Software
VMWare
or
Kits and Software profiles form the complete software stack that can be run on different hardware profiles.
The Same software stack is used for all HW profilesApplications, and the whole stack of software can be moved from one real or Virtual environment to another.
Optimization of Electronic Design Automation (EDA) Infrastructurewith UniCloud and Virtualization
Bill Bryce Univa, Scott Clark Deopli
s B Cccccc
P3
P2
M1M2
Timet
Hosts/Coresh
h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 h11 h12
1
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P1
Standard Job Layout in Batch Cluster
In infrastructure today:Pre-emption must be used to move lower priority workload soHigh Priority workload can run.Gaps and waste happens in the host allocation (unless pre-emption is used)Many Applications fail to use all of the cores on Multi-Core Machines
Gap, Pre-emption must be used
Small jobs must be pre-empted
Pre-empted jobs are 'run from the beginning' so computation is lost. Suspending jobs rarely works since high priority jobs need the memory on the machine. Multi-core machines are under utilized.
s B Ccccc c
P3P2
M1
M2
Timet
Hosts/Coresh
h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 h11 h12
1
2
3
4
5
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7
8
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P1
Dynamic Resource Optimizationwith UniCloud
Pre-emption rarely needs to be used. Physical machines are sliced into smaller virtual machines (v).
Small jobs are packed onto collections of virtual machines.Virtual machines can be live migrated or suspended to disk
Large High priority workload runs on cluster.Work is *not* lost due to Pre-emption
Physical hosts 'h' are split into virtual hosts 'v'. These virtual hosts allow a better packing of workload onto the available physical hosts. Applications that did not take advantage of larger memory and cores on modern machines can be split into multiple Virtual Machines and smallerjobs run on those machines. All those cores you bought can now be used!!
Result:Better Utilization of Multi-Core machinesRuntime is not lost for pre-empted jobs!
v v v v v v v v v v v v v v v v v v v v
Hosts split into Virtual Machines
Bare Metal VM Slowdown
1172 1126 -4.09%
Design Compiler
Bare Metal VM Slowdown
5663 5774 1.92%
Bare Metal VM Slowdown
53,263 53,670 0.76%
Bare Metal VM Slowdown
151 153 1.31%
153 151 1%
EDA Cluster Configuration with Virtualization
Application Bare Metal VM (CPU Affinity) Slowdown
Hsim
1 job 28.78 28.21 -2.02%
2 jobs 28.48 28.95 1.62%
4 jobs 29.1 29.11 0.03%
6 jobs 31.78 32.31 1.64%
8 jobs 34.31 34.67 1.04% Synopsys® HSIM: Hierarchical Full-chip Circuit Simulation and Analysis
VM (No Affinity) Slowdown
28.4 -1.34%
28.32 -0.56%
31.03 6.22%
32.19 1.27%
34.99 1.94%
UniCloud 2.1 Architecture
Kits, Software & Hardware Profiles Application Packaging into Kits
Benchmark Results for Common EDA ApplicationsIn Virtual Machines
Simulia Benchmark Amazon EC2
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Compute Node Type CPU CPU Cores
Memory [GB]
Swap [GB] Interconnect
EC2 - m2.4xlargeIntel Xeon X5550 @ 2.67GHz, 8MB Cache
8 68.4 0 1Gbps Ethernet
EC2 - cc1.4xlargeIntel Xeon X5570 @ 2.93GHz, 8MB Cache
16 22 10 10Gbps Ethernet
Simulia Intel Xeon Woodcrest
Intel Xeon X5160 @ 3.0 GHz, 4MB Cache
4 16 Unknown Infiniband
• UniCloud Provides a framework for packaging software into 'Kits'.
• Kits can be automatically installed and configured onto physical nodes
• virtual nodes and even cloud instances in public cloud infrastructures.
• Kits are 'Meta-RPMs' and contain the software, meta-data describing the software,
• scripts for installing and configuring the software.
• UniCloud automates many typical installation and configuration tasks in a cluster environment including Storage, Networking and Node configuration.
• UniCloud can be used to create Virtual Data Centers on the same physical compute infrastructure.
• Each VDC is isolated from the other using VLANs.
• Users can request their own cluster environment and UniCloud can automatically create that environment.
• EDA environments are concerned with optimizing License usage and overall cluster
throughput.
• Current schedulers cannot optimize license usage without pre-emption and re-running
workload from the beginning.
• UniCloud + Virtualization can live migrate or suspend to disk entire machines running
applications.
• Applications are not killed so very little CPU cycles are wasted.
• Virtualization overhead is in the range of 2-4%.
• Project and Customer specific virtual clusters can be created on demand to ensure compute
resources meet project deadlines and goals.
• Virtualization allows for better use of multi and many core machines by running multiple
applications in small virtual machines.
• UniCloud + Virtualization can 'pack' more applications onto the existing compute resources
ensuring maximum usage of software licenses and cpu hardware.
• Running applications in Virtual Machines provides Mobility for the entire application. Similar
to a checkpoint but far more robust.
A Negative slow down indicates that the application ran slightly faster in a virtual machine than on physical hardware.