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Abstract: In an multiprocessor environment, with applications running concurrently, the scheduler is responsible for optimizing the system utilization. It distributes processors among applications according to a scheduling policy. Some policies allocate processors taking into account information such as the expected speedup. This information is usually provided by the users to the scheduler as an a priori input, and it is obtained by running the applications several times with different input sets. (Update)
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.... performance requires the monitorization of certain parameters, such as for instance, subroutine calls, hardware counters, or CPU usage [Corbalan99]. During the execution of the application the values of these parameters represent a data stream to the measuring tool. The...
...information since characteristics such as the speedup depend on run time parameters i.e. the particular memory mapping, etc. In [Corbalan99] we propose a new approach to dynamically calculate the speedup of parallel applications based on the relationship between an...
Cited by: More
Efficient Shared Memory Parallelisation and Resource.. - Hungershöfer, Wierum, .. (2003) (Correct)
Improving Processor Allocation through Run-Time Measured.. - Julita Corbaln Jess (Correct)
A Dynamic Periodicity Detector: Application to Speedup.. - Freitag, Corbalan.. (2001) (Correct)
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0.3: Job Scheduling in Multiprogrammed Parallel Systems - Feitelson (1997) (Correct)
0.3: Dynamic Performance Analysis: - Selfanalyzer Julita Corbalan (2002) (Correct)
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0.8: A Processor Scheduler: the CpuManager - Corbalán, Martorell, Labarta (1999) (Correct)
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BibTeX entry: (Update)
J.Corbaln, J.Labarta, "Dynamic Speedup Calculation through Self-Analysis", Technical Report number UPC-DAC-1999-43, Departament d'Arquitectura de Computadors , Universitat Politcnica de Catalunya http://citeseer.ist.psu.edu/corbaln99dynamic.html More
@misc{ corbaln99dynamic,
author = "J. Corbaln and J. Labarta",
title = "Dynamic Speedup Calculation through Self-Analysis",
text = "J.Corbaln, J.Labarta, Dynamic Speedup Calculation through Self-Analysis,
Technical Report number UPC-DAC-1999-43, Departament d'Arquitectura de Computadors
, Universitat Politcnica de Catalunya",
year = "1999",
url = "citeseer.ist.psu.edu/corbaln99dynamic.html" }
Citations (may not include all citations):222 The SGI Origin: A ccNUMA Highly Scalable Server (context) - Laudon, Lenoski - 1997 DBLP
217 The PERFECT Club Benchmarks: Effective Performance Evaluatio.. - Berry, Chen et al. - 1989
120 Speedup Versus Efficiency in Parallel Systems (context) - Eager, Zahorjan et al. - 1989 ACM DBLP
75 The MIPS R10000 Superscalar Microprocessor (context) - Yeager ACM
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32 Using Runtime Measured Workload Characteristics in Parallel .. - Nguyen, Zahorjan et al.
30 A Library Implementation of the Nano-Threads Programming Mod.. - Martorell, Labarta et al. - 1996 ACM DBLP
29 Maximizing Speedup through Self-Tuning of Processor Allocati.. - Nguyen, Zahorjan et al. ACM DBLP
20 Characterization of programs for scheduling in multiprogramm.. (context) - Eager, Bunt - 1991
19 Parallel Application Characterization for multiprocessor Sch.. - Nguyen, Zahorjan et al.
16 Benefits of speedup knowledge in memory-constrained multipro.. - Parsons, Sevcik - 1996
8 Modeling Speedup (n) greater than n (context) - Helmbold, McDowell - 1990 ACM
8 Nano-Threads Library Design, Implementation and Evaluation - Martorell, Labarta et al.
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3 Nano-Threads Compiler (context) - Consortium
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