The effect of time constraints on scaled speedup
SIAM Journal on Scientific and Statistical Computing
The SPLASH-2 programs: characterization and methodological considerations
ISCA '95 Proceedings of the 22nd annual international symposium on Computer architecture
Evaluation of design choices for gang scheduling using distributed hierarchical control
Journal of Parallel and Distributed Computing
File-Access Characteristics of Parallel Scientific Workloads
IEEE Transactions on Parallel and Distributed Systems
The elusive goal of workload characterization
ACM SIGMETRICS Performance Evaluation Review
IEEE Transactions on Parallel and Distributed Systems
Job Scheduling is More Important than Processor Allocation for Hypercube Computers
IEEE Transactions on Parallel and Distributed Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A Model for Moldable Supercomputer Jobs
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Job Characteristics of a Production Parallel Scientivic Workload on the NASA Ames iPSC/860
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Workload Evolution on the Cornell Theory Center IBM SP2
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Parallel Application Characteristics for Multiprocessor Scheduling Policy Design
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Memory Usage in the LANL CM-5 Workload
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Metrics and Benchmarking for Parallel Job Scheduling
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
System Utilization Benchmark on the Cray T3E and IBM SP
IPDPS '00/JSSPP '00 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Characteristics of a Large Shared Memory Production Workload
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Performance Evaluation with Heavy Tailed Distributions
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Workload Characterization of Input/Output Intensive Parallel Applications
Proceedings of the 9th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
A Comparison of Workload Traces from Two Production Parallel Machines
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
Correlation of the paging activity of individual node programs in the SPMD execution mode
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
A parallel workload model and its implications for processor allocation
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
A comprehensive model of the supercomputer workload
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
A Co-Plot analysis of logs and models of parallel workloads
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Information Technology and Management
On grid performance evaluation using synthetic workloads
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Short-term performance management by priority-based queueing
Service Oriented Computing and Applications
Web workload generation challenges - an empirical investigation
Software—Practice & Experience
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The performance of a computer system depends not only on its design and implementation, but also on the workloads it has to handle. Indeed, in some cases the workload can sway performance evaluation results. It is therefore crucially important that representative workloads be used for performance evaluation. This can be done by analyzing and modeling existing workloads. However, as more sophisticated workload models become necessary, there is an increasing need for the collection of more detailed data about workloads. This has to be done with an eye for those features that are really important.