(Enter summary)
Abstract: Fine-grained programming is important to parallel computing because it covers up the unavoidable
latency occuring in large systems. Dataflow computing, where small groups of
instructions can be sequentialized into threads, is an extreme of the fine-grained or multithreading
approaches. Originally, dataflow programs were run on specialized hardware. The
research described in this document unites advances in compiling dataflow programs to run on
non-specialized hardware with the architectural... (Update)
Context of citations to this paper: More
...elements are on different processors. Memory is managed explicitly through library routines. The J Machine implementation of TAM [15] makes direct use of the hardware support for different priority levels. Threads run at the background priority level, allowing them to...
.... reported in this section: Tuned J and Concurrent Smalltalk (CST) Two other programming systems are also running on the machine: Id [12] [15] and PCN [16] Tuned J The J language serves as a system level programming language for the J Machine. It extends a pernode ANSI C...
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BibTeX entry: (Update)
E. Spertus. Execution of Dataflow Programs on GeneralPurpose Hardware. Master's thesis, Department of EECS, Massachusetts Institute of Technology, 545 Tech. Square, Cambridge, MA, August 1992. To be expandedand released as MIT AI Lab Technical Report 1380. http://citeseer.ist.psu.edu/article/spertus92execution.html More
@misc{ spertus92execution,
author = "E. Spertus",
title = "Execution of Dataflow Programs on GeneralPurpose Hardware",
text = "E. Spertus. Execution of Dataflow Programs on GeneralPurpose Hardware.
Master's thesis, Department of EECS, Massachusetts Institute of Technology,
545 Tech. Square, Cambridge, MA, August 1992. To be expandedand released
as MIT AI Lab Technical Report 1380.",
year = "1992",
url = "citeseer.ist.psu.edu/article/spertus92execution.html" }
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Machine: A Fine-Grain Concurrent Computer (context) - William, The - 1989
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Executing a Program on the MIT Tagged-Token Dataflow Archite.. (context) - Rishiyur, Nikhil - 1988
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Implementation of a General Purpose Dataflow Multiprocessor (context) - Gregory - 1989
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Id: a language with implicit parallelism (context) - Rishiyur, Arvind - 1991
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Managing Parallelism and Resources in Scientific Dataflow Pr.. (context) - Culler - 1990
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A Compiler for the MIT Tagged-token Dataflow Architecture
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Global Analysis for Partitioning Non-Strict Programs into Se.. (context) - Kenneth, David et al. - 1992
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ID Language Reference Manual Version
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M-Structures: Extending a Parallel, Non-strict, Functional L..
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Experiences Implementing Dataflow on a GeneralPurpose Parall..
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Experiments with Dataflow on a General-Purpose Parallel Comp..
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Frame Memory Management for the Monsoon Processor (context) - Derek - 1992
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An implementation of Threaded Abstract Machine (context) - Thorsten, Culler et al. - 1991
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