Abstract
| 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 | |
| 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 |
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Keywords
- Models of computation
- NUMA
- parallel computing
- PRAM
- programming model
- thick control flow
Cite this
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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
TY - GEN
T1 - An extended PRAM-NUMA model of computation for TCF programming
AU - Forsell, Martti
AU - Leppänen, V.
PY - 2012
Y1 - 2012
N2 - 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
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
KW - Models of computation
KW - NUMA
KW - parallel computing
KW - PRAM
KW - programming model
KW - thick control flow
U2 - 10.1109/IPDPSW.2012.97
DO - 10.1109/IPDPSW.2012.97
M3 - Conference article in proceedings
SN - 978-0-7695-4676-6
SN - 978-1-4673-0974-5
SP - 786
EP - 793
BT - Proceedings of the IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012
PB - IEEE Institute of Electrical and Electronic Engineers
ER -