1 Alexandru V Staicu 1, Jacek R. Radzikowski 1 Kris Gaj 1, Nikitas Alexandridis 2, Tarek El-Ghazawi...

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Alexandru V Staicu1, Jacek R. Radzikowski1

Kris Gaj1, Nikitas Alexandridis2, Tarek El-Ghazawi2

1 George Mason University2 George Washington University

Effective Use of Networked Reconfigurable Resources

http://ece.gmu.edu/lucite

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Problem:

• Reconfigurable resources expensive and underutilized

• Many of these resources available over the network

• It is desirable to leverage networked reconfigurable resources to help other users within the same organization

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Tasks 1, 2, 3

Task 3

Task 1

Execution Host 1

ExecutionHost 2

Execution Host 3

Master HostSubmission Host

Task 2

Approach: Adapt and use a Job Management System

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Approach:

• Select the most suitable existing Job Management System (JMS)

• Extend this JMS to recognize and utilize reconfigurable resources

- identify and define functional requirements- rank known systems according to these requirements- identify which JMS is the easiest to extend

- add new dynamic resources- configure scheduling to be based on these new resources

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Tasks 1, 2, 3

Task 3

Task 1

Execution Host 1

ExecutionHost 2

Execution Host 3

Master Host

Submission Host

Task 2

Networked Reconfigurable Resource Management System

FPGAboards

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Myrinet SAN/LAN

Switch

WILDFORCE

Dell

WILDSTAR

Dell

SLAAC

Dell

WILDSTAR

Dell

WILDFORCE

Dell Sparc 10

SLAAC Research Reference Platform

Ethernet Intelligent Hub 100

Mbps

Heterogeneous network with FPGA-based accelerators

Dell HP

Sparc 20 DellGateway

SLAAC WILDSTAR

WILDFORCE SLAAC

Ethernet Intelligent Hub 100

Mbps

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Functional units of a typical Job Management System

jobs & their requirements

UserServer

Job SchedulerResourceMonitor

availableresources

resource requirements

scheduling policies

JobDispatcherresource allocation

and job execution

Resource Manager

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Classification of Investigated Systems (1)

Centralized JMS

DistributedJMS w/o a Central Scheduler

DistributedOperating

System

• LSF• CODINE• PBS• Condor• RES

• Globus• Legion• NetSolve

• MOSIX

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ParameterStudy

Scheduler

ResourceMonitor andForecaster

DistributedComputingInterface

• Compaq DCE• AppLES • NWS

Classification of Investigated Systems (2)

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Operating system, flexibility, user interface

LSF Codine PBS CONDOR RES

Distribution

Source code

OS Support

User Interface

SolarisLinuxTru64NT

GUI &CLI

CLI

com pub pub/com pub gov

GUI &CLI

GUI &CLI

GUI &CLI

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Scheduling and Resource Management

LSF Codine PBS CONDOR RES

Batch jobs

Interactive jobs

Parallel jobs

Accounting

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Efficiency and Utilization

LSF Codine PBS CONDOR RES

Stage-in andstage-out

Timesharing

Process migration

Dynamic loadbalancing

Scalability

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Fault Tolerance and Security

LSF Codine PBS CONDOR RES

Checkpointing

Daemon fault recovery

Authentication

Authorization

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Documentation and Technical Support

LSF Codine PBS CONDOR RES

Documentation

Technicalsupport

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JMS features supporting extension to reconfigurable hardware

• capability to define new dynamic resources

• strong support for stage-in and stage-out- configuration bitstreams- executable code- input/output data

• support for Windows NT and Linux

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Ranking of Centralized Job Management Systems (1)

Capability to define new dynamic resources:

Excellent: LSF, PBS, CODINEMore difficult: CONDOR, RES

Stage-in and stage-out:

Excellent: LSF, PBSLimited: CONDORNo: CODINE, RES

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Ranking of Centralized Job Management Systems (2)

Overall suitability to extend to reconfigurable hardware:

1. LSF2. CODINE3. PBS4. CONDOR5. RES

without changing the JMS source code

requires changes to the JMS source code

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Submission host

LIM

Batch API

Master host

MLIM

MBD

Execution host

SBD

Child SBD

LIM

RES

User job

Extension of LSF to reconfigurable hardware (1)Operation of LSF

LIM – Load Information ManagerMLIM – Master LIMMBD – Master Batch DaemonSBD – Slave Batch DaemonRES – Remote Execution Server

queue1

2

3

45

6 7

89

10

11

12

13

Loadinformation

otherhosts

otherhosts

bsub app

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Extension of LSF to reconfigurable hardware(2)

Submission host

LIM

Batch API

Master host

MLIM

MBD

Execution host

SBD

Child SBD

LIM

RES

User job

ELIM – External Load Information ManagerACS API – Adaptive Computing Systems API

queue1

2

3

45

6 7

89

10

11

12

13

Loadinformation

otherhosts

otherhosts

bsub app

ELIM

ACS API

14FPGAboard

Statusof theboard

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Conclusions (1)

• 12 systems evaluated using 25 functional requirements + the suitability of extension to support reconfigurable hardware

• LSF, CODINE, PBS, and Condor ranked the highest in the functional requirements

• LSF, CODINE, and PBSPro found easy to extend without changes in their source codes

• LSF most suitable to support reconfigurable hardware

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• General software architecture of the extended system developed

• Experimental developments, verification and performance evaluation of the extended system in progress

Conclusions (2)