StreamIt: A Language and Compiler for Communication-Exposed Architectures

With the increasing miniaturization of transistors, wire delays are becoming a dominant factor in microprocessor performance. To address this issue, a number of emerging architectures contain replicated processing units with software-exposed communication between one unit and another (e.g., Raw, Sma...

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Main Authors: Thies, William, Gordon, Michael I., Karczmarek, Michal, Maze, David, Amarasinghe, Saman P.
Format: Article
Language:en_US
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3690
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author Thies, William
Gordon, Michael I.
Karczmarek, Michal
Maze, David
Amarasinghe, Saman P.
author_facet Thies, William
Gordon, Michael I.
Karczmarek, Michal
Maze, David
Amarasinghe, Saman P.
author_sort Thies, William
collection MIT
description With the increasing miniaturization of transistors, wire delays are becoming a dominant factor in microprocessor performance. To address this issue, a number of emerging architectures contain replicated processing units with software-exposed communication between one unit and another (e.g., Raw, SmartMemories, TRIPS). However, for their use to be widespread, it will be necesary to develop a common machine language to allow programmers to express an algorithm in a way that can be efficiently mapped across these architectures. We propose a new common machine language for grid-based software-exposed architectures: StreamIt. StreamIt is a high-level programming language with explicit support for streaming computation. Unlike sequential programs with obscured dependence information and complex communication patterns, a stream program is naturally written as a set of concurrent filters with regular steady-state communication. The language imposes a hierarchical structure on the stream graph that enables novel representations and optimizations within the StreamIt compiler. We have implemented a fully functional compiler that parallelizes StreamIt applications for Raw, including several load-balancing transformations. Though StreamIt exposes the parallelism and communication patterns of stream programs, analysis is needed to adapt a stream program to a software-exposed processor. We describe a partitioning algorithm that employs fission and fusion transformations to adjust the granularity of a stream graph, a layout algorithm that maps a stream graph to a given network topology, and a scheduling strategy that generates a fine-grained static communication pattern for each computational element. Using the cycle-accurate Raw simulator, we demonstrate that the StreamIt compiler can automatically map a high-level stream abstraction to Raw. We consider this work to be a first step towards a portable programming model for communication-exposed architectures.
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spelling mit-1721.1/36902019-04-10T12:16:21Z StreamIt: A Language and Compiler for Communication-Exposed Architectures Thies, William Gordon, Michael I. Karczmarek, Michal Maze, David Amarasinghe, Saman P. communication-exposed architectures StreamIt Raw software-exposed architectures streaming application domain With the increasing miniaturization of transistors, wire delays are becoming a dominant factor in microprocessor performance. To address this issue, a number of emerging architectures contain replicated processing units with software-exposed communication between one unit and another (e.g., Raw, SmartMemories, TRIPS). However, for their use to be widespread, it will be necesary to develop a common machine language to allow programmers to express an algorithm in a way that can be efficiently mapped across these architectures. We propose a new common machine language for grid-based software-exposed architectures: StreamIt. StreamIt is a high-level programming language with explicit support for streaming computation. Unlike sequential programs with obscured dependence information and complex communication patterns, a stream program is naturally written as a set of concurrent filters with regular steady-state communication. The language imposes a hierarchical structure on the stream graph that enables novel representations and optimizations within the StreamIt compiler. We have implemented a fully functional compiler that parallelizes StreamIt applications for Raw, including several load-balancing transformations. Though StreamIt exposes the parallelism and communication patterns of stream programs, analysis is needed to adapt a stream program to a software-exposed processor. We describe a partitioning algorithm that employs fission and fusion transformations to adjust the granularity of a stream graph, a layout algorithm that maps a stream graph to a given network topology, and a scheduling strategy that generates a fine-grained static communication pattern for each computational element. Using the cycle-accurate Raw simulator, we demonstrate that the StreamIt compiler can automatically map a high-level stream abstraction to Raw. We consider this work to be a first step towards a portable programming model for communication-exposed architectures. Singapore-MIT Alliance (SMA) 2003-11-17T16:54:18Z 2003-11-17T16:54:18Z 2003-01 Article http://hdl.handle.net/1721.1/3690 en_US Computer Science (CS); 726684 bytes application/pdf application/pdf
spellingShingle communication-exposed architectures
StreamIt
Raw
software-exposed architectures
streaming application domain
Thies, William
Gordon, Michael I.
Karczmarek, Michal
Maze, David
Amarasinghe, Saman P.
StreamIt: A Language and Compiler for Communication-Exposed Architectures
title StreamIt: A Language and Compiler for Communication-Exposed Architectures
title_full StreamIt: A Language and Compiler for Communication-Exposed Architectures
title_fullStr StreamIt: A Language and Compiler for Communication-Exposed Architectures
title_full_unstemmed StreamIt: A Language and Compiler for Communication-Exposed Architectures
title_short StreamIt: A Language and Compiler for Communication-Exposed Architectures
title_sort streamit a language and compiler for communication exposed architectures
topic communication-exposed architectures
StreamIt
Raw
software-exposed architectures
streaming application domain
url http://hdl.handle.net/1721.1/3690
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AT gordonmichaeli streamitalanguageandcompilerforcommunicationexposedarchitectures
AT karczmarekmichal streamitalanguageandcompilerforcommunicationexposedarchitectures
AT mazedavid streamitalanguageandcompilerforcommunicationexposedarchitectures
AT amarasinghesamanp streamitalanguageandcompilerforcommunicationexposedarchitectures