Memory Controller Policies on Smartphone Workloads

 
9783659378690: Memory Controller Policies on Smartphone Workloads

This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82% faster than the worst. The VCW is memory intensive, with up to 86.8% bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15%. Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6.3%.

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About the Author:

Goran Narančić received M.A.Sc. in Computer Engineering at University of Toronto with prof. Moshovos as supervisor. There his research concentrated on memory controller design for smartphone platforms. Before working in computer architecture, he received a M.Sc. in Computer Science from University of Zagreb, where his supervisor was prof. Srbljić.

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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82% faster than the worst. The VCW is memory intensive, with up to 86.8% bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15%. Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6.3%. | Format: Paperback | Language/Sprache: english | 104 pp. Bookseller Inventory # K9783659378690

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Book Description LAP Lambert Academic Publishing Jun 2013, 2013. Taschenbuch. Book Condition: Neu. Neuware - This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82% faster than the worst. The VCW is memory intensive, with up to 86.8% bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15%. Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6.3%. 104 pp. Englisch. Bookseller Inventory # 9783659378690

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Book Description LAP Lambert Academic Publishing Jun 2013, 2013. Taschenbuch. Book Condition: Neu. Neuware - This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82% faster than the worst. The VCW is memory intensive, with up to 86.8% bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15%. Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6.3%. 104 pp. Englisch. Bookseller Inventory # 9783659378690

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Book Description LAP LAMBERT Academic Publishing. Paperback. Book Condition: New. Paperback. 104 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82 faster than the worst. The VCW is memory intensive, with up to 86. 8 bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15. Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6. 3. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783659378690

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Book Description LAP Lambert Academic Publishing, United States, 2013. Paperback. Book Condition: New. Language: English . Brand New Book. This book explores memory performance for smartphone workloads. We design a Video Conference Workload (VCW) to model typical smartphone usage. We describe a trace-based methodology which uses a software implementation to mimic the behaviour of specialised hardware accelerators. Our methodology stores dataflow information from the original application to maintain the relationships between requests. We first study seven address mapping schemes with our VCW, using a first-ready, first-come-first- served (FR-FCFS) memory scheduler. Our results show the best performing scheme is up to 82 faster than the worst. The VCW is memory intensive, with up to 86.8 bandwidth utilisation using the best performing scheme. We also test a Web Browsing and a set of computer vision workloads. Most are not memory intensive, with utilisation under 15 . Finally, we compare four proposed schedulers and find that the FR-FCFS scheduler using the Write Drain mode performed the best, outperforming the worst scheduler by 6.3 . Bookseller Inventory # KNV9783659378690

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