Tessellation: Space-Time Partitioning in a Manycore Client OS Rose Liu 1,2, Kevin Klues 1, Sarah...
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Transcript of Tessellation: Space-Time Partitioning in a Manycore Client OS Rose Liu 1,2, Kevin Klues 1, Sarah...
![Page 1: Tessellation: Space-Time Partitioning in a Manycore Client OS Rose Liu 1,2, Kevin Klues 1, Sarah Bird 1, Steven Hofmeyr 3, Krste Asanovic 1, John Kubiatowicz.](https://reader036.fdocuments.in/reader036/viewer/2022062322/56649ebc5503460f94bc567d/html5/thumbnails/1.jpg)
Tessellation: Space-Time Partitioning in a Manycore Client OS
Rose Liu1,2, Kevin Klues1, Sarah Bird1, Steven Hofmeyr3, Krste Asanovic1, John Kubiatowicz1
1Parallel Computing Laboratory, UC Berkeley2Data Domain 3Lawrence Berkeley National Laboratory
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Client Device
Single-user device Runs a heterogeneous mix of interactive, real-time and
batch applications simultaneously Generally battery constrained
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Why a new Client OS? Enter the Manycore world Must address
parallelism Current client OSs weren’t designed for parallel
applications Existing OSs addressing parallelism targets
servers or HPC contexts, not clients Servers – emphasis on throughput vs. Client – emphasis on user experience/responsiveness HPC – machine dedicated to one parallel application vs. Client – runs many heterogeneous parallel applications Client - Longer battery life
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Outline Why a new OS for Manycore Clients? A Case for Space-time Partitioning
Define space-time partitioning Use cases for space-time partitioning
Implementing Space-Time Partitioning in a Manycore OS
Status
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Spatial Partitions
5
Memory
Radio
Isolated unit containing a subset of physical machine resources
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Spatial Partitions
6
Memory
Radio
Isolated unit containing a subset of physical machine resources
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Spatial Partitions
7
Memory
Radio
Isolated unit containing a subset of physical machine resources
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Spatial Partitions
8
Memory
Radio
Isolated unit containing a subset of physical machine resources
QoS enforcedshare ofinterconnect bandwidth
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Spatial Partitions
9
Memory
Radio
Isolated unit containing a subset of physical machine resources
Energy or PowerBudget
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Machine divided into spatial partitions
10
Wirelessradio
Memory
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Put applications in spatial partitions
11
Radio
Memory
Media Player
Browser
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Benefits of spatial partitions
12
Radio
Memory
Media Player
Browser
• Each app can run a custom user-level runtime for best performance• Provides apps with resource guarantees for performance predictability• Functional & Performance Isolation
• Natural unit for fault containment, energy management
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Put OS Services in spatial partitions
13
Wirelessradio
Memory
Media PlayerNetworkDriver
Filesystem
Browser
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Put sub-components in spatialpartitions
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Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
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Put virtual machines in spatial partitions
15
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
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Partitions need to communicate
16
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
Spatial Communicationoccurs without a context switch
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Communication Challenges
17
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
Communication relaxes the isolation boundaries of partitions andintroduces issues like:• Security• Service-level QoS and/or resource accounting of requestors within service partitions
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Space-time partitioning virtualizes spatial partitions
18
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
De-scheduled Partitions
• Partition Context SwitchCost ~ Process ContextSwitch Cost• Time multiplex at a coarse granularity to allow for user-level scheduling
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Space-Time Partition Scheduling
Time
Partition resourcesput in low power state
DescheduledPartitions:
Real-time appis always scheduled
Partitions are dynamically resized while running without a reboot or application restart
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Space-Time Partition Scheduling
Time
DescheduledPartitions:
Challenges:1. How to determine the right resource allocation for a partition?
2. What granularity to time multiplex each partition? Don’t need to use same time quanta
for all partitions.
3. We can deschedule partitions from each type of resource independently. E.g. time multiplex off cores more frequently than multiplex partition data off caches. How to determine ‘best’ policy?
…
Partitions are dynamically resized while running without a reboot or application restart
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Communication in space and time
21
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
De-scheduled Partitions
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Outline Why a new OS for Manycore Clients? A Case for Space-time Partitioning Implementing Space-Time Partitioning in a
Manycore OS (Tessellation) Status
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Tessellation OS
23
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
De-scheduled Partitions
VideoDriver
VirusChecker
USB Driver
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Tessellation Kernel
24
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
MessagePassing
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Tessellation Kernel
25
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
MessagePassing
Marshalls syscalls into messages for the respective OS Service Partition
App-specific scheduler for best parallel performance. (See Lithe talk on user-levelscheduling.)
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Tessellation Kernel
26
Tessellatio
nK
ernel
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
MessagePassing
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Tessellation Kernel
27
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
MessagePassing
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Partition Mechanism Layer
28
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
Configure Partition Resources enforced by
HW at runtime
MessagePassing
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Partition Mechanism Layer
29
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
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Partition Management Layer
30
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
PartitionAllocator
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Partition Management Layer
31
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
PartitionAllocator
PartitionResizing
Callback API
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Partition Management Layer
32
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
PartitionAllocator
PartitionResizing
Callback API
Res.Reqs.
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Partition Management Layer
33
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
PartitionAllocator
PartitionScheduler
CommReqs
PartitionResizing
Callback API
Res.Reqs.
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Partition Management Layer
34
Tessellatio
nK
ernel
Partition Management
Layer
Hardware Partitioning Mechanisms
CPUsPhysical Memory
InterconnectBandwidth
CachePerformance
Counters
Partition Mechanism
Layer(Trusted)
ApplicationOr
OS Service
CustomScheduler
Library OS Functionality
ConfigureHW-supportedCommunication
MessagePassing
Configure Partition Resources enforced by
HW at runtime
PartitionAllocator
PartitionScheduler
Comm.Reqs
SchedReqs.
PartitionResizing
Callback API
Res.Reqs.
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Outline Why a new OS for Manycore Clients? A Case for Space-time Partitioning
Define space-time partitioning Use cases for space-time partitioning
Implementing Space-Time Partitioning in a Manycore OS
Status
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Implementation status Basics of Tessellation kernel and primitive OS
service up and running Provides rudimentary partition interface Boots on standard x86 hardware No I/O yet – statically linked applications and kernel
TOSOS
Services
UserApp 0
UserApp 1
Manycore HW
Tesselation Kernel
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Build fast cross-core communication mechanisms for system calls Context-switch free system calls APIC driven message notification with shared memory
Add support for the 19 newLib system calls in TOS OS Service partition
TOSOS
Services
UserApp 0
UserApp 1
Next Steps
Syscall
Syscall
Newlib C Newlib C
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Intermediate Infrastructure
ExistingI/O
Drivers
I/O Server Process
TOS OS Service doesn’t have all drivers, so run BSD with existing drivers on one core to service I/O from TOS OS Service
Tessellation runs on rest of the cores
TOSOS
Service
UserApp 0
UserApp 1
Manycore HW
Syscall
Syscall
BSDKernel
Newlib C Newlib C
PinnedSharedMemoryChannel
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Acknowledgements We would like to thank the entire ParLab OS group
and several people at LBNL for their invaluable contribution to the ideas presented here.
Research supported by Microsoft Award #024263 and Intel Award #024894 and by matching funding from U.C. Discovery (Award #DIG07-102270).
This work has also been in part supported by an NSF Graduate Research Fellowship.
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Thanks! Questions?
40
Wirelessradio
Memory
Media Player NetworkDriver
Filesystem
Browser
Video decoder GUI
WindowsVM
De-scheduled Partitions