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1
HABANERO CNC
Sagnak Tasirlar
Acknowledgments
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Colleagues @ Rice
Collaborators @ Intel
Vivek Sarkar, Zoran Budimlic, Michael Burke, Philippe Charles
Vincent Cave, David Peixotto, Dragos Sbirlea, Alina Simion, Max
Grossman
Kathleen Knobe, Geoff Lowney, Ryan Newton, Mark Hampton, Frank
Schlimbach
Collaborators @
Aparna Chandramowlishwaran, Richard Vuduc @Georgia Tech
Jens Palsberg and CDSC team @UCLA
Habanero’s Parallelism Postulation
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Four dimensions of portable parallelism
Lightweight dynamic task creation
Collective and point-to-point synchronization
phaser
Mutual exclusion, isolation
finish/async parallelism
isolated
Locality control
Hierarchical place trees
Habanero’s Parallelism Postulation
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Four dimensions of portable parallelism
Lightweight dynamic task creation
Collective and point-to-point synchronization
phaser
Mutual exclusion, isolation
finish/async parallelism
isolated
Locality control
Hierarchical place trees
Figure credit: Raghavan Raman, MS Thesis, Compiler Support for Work-Stealing Parallel Runtime Systems
Habanero’s Parallelism Postulation
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Four dimensions of portable parallelism
Lightweight dynamic task creation
Collective and point-to-point synchronization
phaser
Mutual exclusion, isolation
finish/async parallelism
isolated
Locality control
Hierarchical place trees
Habanero Java (HJ)
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An extended subset of X10 v1.5
which
is an extended subset of Java
Achieves parallelism via mentioned four dimensions
Work sharing, work stealing and adaptive runtimes
Requires parallelism awareness
Download from habanero.rice.edu/hj
Habanero CnC (HJ-CnC)
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Coordination language for Habanero Java
on
top of HJ coordinating communication within HJ
steps
Parallelism oblivious development
Every
step instance is an async
CnC graph is wrapped with a finish scope
Item and Tag Collections are Concurrent hash maps
Has three flavors of scheduling
Download from habanero.rice.edu/cnc
Habanero CnC Build Model
Concurrent
Collections
Textual
Graph
cnc_t Translator
Habanero
Java
source files
Habanero
Java
Source Files
import cnc_c Compiler
Code to invoke the graph
Code to put
initial values in graph
Code to implement abstract steps
import
Concurrent
Collections
Library
.class
Files
Abstract classes for all steps
Definitions for all collections
Graph definition and initialization
JAR builder
Java application
User specified
Concurrent Collections components
Habanero Java
Runtime
Library
Scheduling HJ-CnC
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Blocking policy
Granularity
Non Blocking policy
Delayed
async
Rollback and Replay
HJ
exception handling
Side effect freedom
Data driven nature
Habanero CnC vs Intel CnC
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Step language
Java
(or HJ) vs C++
Safety
Tag
types : Immutable vs mutable
Graph conformance
Runtime scheduling
HJ
runtimes vs Intel TBB
HJ-CnC as a domain specific language
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Rice-UCLA collaboration on customizable domain
specific computing
Five year NSF expeditions project to investigate malleable domain
specific hardware and software
Domain is set as medical imaging and hemodynamic modeling
Habanero CnC is the language of choice for domain experts
For further info visit cdsc.ucla.edu
Results
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Results
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References
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Submitted Technical Report
IPDPS ’10
Damp ’09
Performance Evaluation of Concurrent Collections on High-Performance
Multicore Computing Systems (A. Chandramowlishwaran, K. Knobe, R. Vuduc
Declarative Aspects of Memory Management in the Concurrent Collections
Parallel Programming Model (Z.Budimlic, A. Chandramowlishwaran, K.
Knobe, G. Lowney, V. Sarkar and L. Treggiari)
CPC ’09
Multi-core Implementations of the Concurrent Collections Programming
Model (Zoran Budimlic, Aparna Chandramowlishwaran, Kathleen Knobe,
Geoff Lowney, Vivek Sarkar, and Leo Treggiari )
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Questions and feedback