An extended PRAM-NUMA model of computation for TCF programming

Martti Forsell; V. Leppänen

doi:10.1109/IPDPSW.2012.97

An extended PRAM-NUMA model of computation for TCF programming

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

The Parallel Random Access Machine - Non Uniform Memory Access (PRAM-NUMA) model of computation can be used to implement efficient emulated shared memory (ESM) computers for general purpose parallel applications and yet support sequential and NUMA legacy code and avoid loss of performance in applications with low parallelism. While programming of these computers is provably easy, there is still room for improvement since they make implementing time-shared multitasking expensive, sometimes replicate much of the execution unnecessarily, and force a programmer to use looping and conditional control primitives in the case the application parallelism does not match the hardware parallelism. Thick Control Flow (TCF) is a parallel programming model that does not provide a fixed number of threads like PRAM-NUMA but a number of control flows that have certain thickness that can vary according to needs of the application catching the best parts of the dynamicism and generality of the original unbounded PRAM model and simplicity of the Single Instruction Stream Multiple Data Streams (SIMD) model. In this paper we study implementing the TCF model on a top of the PRAM-NUMA model and propose an extended PRAM-NUMA model that makes this straight-forward. Architectural implementation and programming of the extended model are discussed with short examples

Original language	English
Title of host publication	Proceedings of the IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	786-793
ISBN (Print)	978-0-7695-4676-6, 978-1-4673-0974-5
DOIs	https://doi.org/10.1109/IPDPSW.2012.97
Publication status	Published - 2012
MoE publication type	Not Eligible
Event	26th International Parallel and Distributed Processing Symposium, IPDPSW 2012 - Shanghai, China Duration: 21 May 2012 → 25 May 2012 Conference number: 26

Conference

Conference	26th International Parallel and Distributed Processing Symposium, IPDPSW 2012
Abbreviated title	IPDPSW 2012
Country	China
City	Shanghai
Period	21/05/12 → 25/05/12

Keywords

Models of computation
NUMA
parallel computing
PRAM
programming model
thick control flow

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Forsell, M., & Leppänen, V. (2012). An extended PRAM-NUMA model of computation for TCF programming. In Proceedings of the IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 (pp. 786-793). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IPDPSW.2012.97

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abstract = "The Parallel Random Access Machine - Non Uniform Memory Access (PRAM-NUMA) model of computation can be used to implement efficient emulated shared memory (ESM) computers for general purpose parallel applications and yet support sequential and NUMA legacy code and avoid loss of performance in applications with low parallelism. While programming of these computers is provably easy, there is still room for improvement since they make implementing time-shared multitasking expensive, sometimes replicate much of the execution unnecessarily, and force a programmer to use looping and conditional control primitives in the case the application parallelism does not match the hardware parallelism. Thick Control Flow (TCF) is a parallel programming model that does not provide a fixed number of threads like PRAM-NUMA but a number of control flows that have certain thickness that can vary according to needs of the application catching the best parts of the dynamicism and generality of the original unbounded PRAM model and simplicity of the Single Instruction Stream Multiple Data Streams (SIMD) model. In this paper we study implementing the TCF model on a top of the PRAM-NUMA model and propose an extended PRAM-NUMA model that makes this straight-forward. Architectural implementation and programming of the extended model are discussed with short examples",

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Forsell, M & Leppänen, V 2012, An extended PRAM-NUMA model of computation for TCF programming. in Proceedings of the IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. IEEE Institute of Electrical and Electronic Engineers, pp. 786-793, 26th International Parallel and Distributed Processing Symposium, IPDPSW 2012, Shanghai, China, 21/05/12. https://doi.org/10.1109/IPDPSW.2012.97

An extended PRAM-NUMA model of computation for TCF programming. / Forsell, Martti; Leppänen, V.

Proceedings of the IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012. IEEE Institute of Electrical and Electronic Engineers, 2012. p. 786-793.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - The Parallel Random Access Machine - Non Uniform Memory Access (PRAM-NUMA) model of computation can be used to implement efficient emulated shared memory (ESM) computers for general purpose parallel applications and yet support sequential and NUMA legacy code and avoid loss of performance in applications with low parallelism. While programming of these computers is provably easy, there is still room for improvement since they make implementing time-shared multitasking expensive, sometimes replicate much of the execution unnecessarily, and force a programmer to use looping and conditional control primitives in the case the application parallelism does not match the hardware parallelism. Thick Control Flow (TCF) is a parallel programming model that does not provide a fixed number of threads like PRAM-NUMA but a number of control flows that have certain thickness that can vary according to needs of the application catching the best parts of the dynamicism and generality of the original unbounded PRAM model and simplicity of the Single Instruction Stream Multiple Data Streams (SIMD) model. In this paper we study implementing the TCF model on a top of the PRAM-NUMA model and propose an extended PRAM-NUMA model that makes this straight-forward. Architectural implementation and programming of the extended model are discussed with short examples

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