An analytical approach to performance/cost modeling of parallel computers:
Abstract: "Although parallel processing has been a focal point of computer architecture research for many years, fundamental questions and trade-offs still remain puzzling, not necessarily because of complexity but because of the multitude of possible answers (e.g., shared vs. distributed memor...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Urbana, Ill.
1991
|
| Series: | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report
1110 |
| Subjects: | |
| Summary: | Abstract: "Although parallel processing has been a focal point of computer architecture research for many years, fundamental questions and trade-offs still remain puzzling, not necessarily because of complexity but because of the multitude of possible answers (e.g., shared vs. distributed memory, centralized vs. distributed control, vector vs. scaler). This paper addresses one such issue, namely heterogeneous vs. homogeneous parallel machine organizations Using simple performance and cost models, we argue that multiprocessors based on a fast global control unit capable of fast execution of serial code, and capable of managing an ensemble of slower processors, offer a performance/cost ratio significantly better than any comparable homogeneous multiprocessor with distributed control. Although the issue of "deliverable" performance is an open question, it appears that such systems can achieve faster execution and higher program speedups at a much lower cost. |
| Physical Description: | 30 S. |
Staff View
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| 245 | 1 | 0 | |a An analytical approach to performance/cost modeling of parallel computers |c John B. Andrews and Constantine D. Polychronopoulos |
| 264 | 1 | |a Urbana, Ill. |c 1991 | |
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| 520 | 3 | |a Abstract: "Although parallel processing has been a focal point of computer architecture research for many years, fundamental questions and trade-offs still remain puzzling, not necessarily because of complexity but because of the multitude of possible answers (e.g., shared vs. distributed memory, centralized vs. distributed control, vector vs. scaler). This paper addresses one such issue, namely heterogeneous vs. homogeneous parallel machine organizations | |
| 520 | 3 | |a Using simple performance and cost models, we argue that multiprocessors based on a fast global control unit capable of fast execution of serial code, and capable of managing an ensemble of slower processors, offer a performance/cost ratio significantly better than any comparable homogeneous multiprocessor with distributed control. Although the issue of "deliverable" performance is an open question, it appears that such systems can achieve faster execution and higher program speedups at a much lower cost. | |
| 650 | 4 | |a Multiprocessors | |
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| 700 | 1 | |a Polychronopoulos, Constantine D. |d 1958- |e Verfasser |0 (DE-588)120999773 |4 aut | |
| 830 | 0 | |a Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |v 1110 |w (DE-604)BV008930033 |9 1110 | |
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| indexdate | 2024-07-09T17:33:25Z |
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| language | English |
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| series | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |
| series2 | Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report |
| spelling | Andrews, John B. Verfasser aut An analytical approach to performance/cost modeling of parallel computers John B. Andrews and Constantine D. Polychronopoulos Urbana, Ill. 1991 30 S. txt rdacontent n rdamedia nc rdacarrier Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 1110 Abstract: "Although parallel processing has been a focal point of computer architecture research for many years, fundamental questions and trade-offs still remain puzzling, not necessarily because of complexity but because of the multitude of possible answers (e.g., shared vs. distributed memory, centralized vs. distributed control, vector vs. scaler). This paper addresses one such issue, namely heterogeneous vs. homogeneous parallel machine organizations Using simple performance and cost models, we argue that multiprocessors based on a fast global control unit capable of fast execution of serial code, and capable of managing an ensemble of slower processors, offer a performance/cost ratio significantly better than any comparable homogeneous multiprocessor with distributed control. Although the issue of "deliverable" performance is an open question, it appears that such systems can achieve faster execution and higher program speedups at a much lower cost. Multiprocessors Parallel processing (Electronic computers) Polychronopoulos, Constantine D. 1958- Verfasser (DE-588)120999773 aut Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 1110 (DE-604)BV008930033 1110 |
| spellingShingle | Andrews, John B. Polychronopoulos, Constantine D. 1958- An analytical approach to performance/cost modeling of parallel computers Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report Multiprocessors Parallel processing (Electronic computers) |
| title | An analytical approach to performance/cost modeling of parallel computers |
| title_auth | An analytical approach to performance/cost modeling of parallel computers |
| title_exact_search | An analytical approach to performance/cost modeling of parallel computers |
| title_full | An analytical approach to performance/cost modeling of parallel computers John B. Andrews and Constantine D. Polychronopoulos |
| title_fullStr | An analytical approach to performance/cost modeling of parallel computers John B. Andrews and Constantine D. Polychronopoulos |
| title_full_unstemmed | An analytical approach to performance/cost modeling of parallel computers John B. Andrews and Constantine D. Polychronopoulos |
| title_short | An analytical approach to performance/cost modeling of parallel computers |
| title_sort | an analytical approach to performance cost modeling of parallel computers |
| topic | Multiprocessors Parallel processing (Electronic computers) |
| topic_facet | Multiprocessors Parallel processing (Electronic computers) |
| volume_link | (DE-604)BV008930033 |
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