Using locality surfaces to characterize the SPECint 2000 benchmark suite
Workload characterization of emerging computer applications
Workload Design: Selecting Representative Program-Input Pairs
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Measuring Benchmark Similarity Using Inherent Program Characteristics
IEEE Transactions on Computers
Subsetting the SPEC CPU2006 benchmark suite
ACM SIGARCH Computer Architecture News
Analysis of redundancy and application balance in the SPEC CPU2006 benchmark suite
Proceedings of the 34th annual international symposium on Computer architecture
Defining relevant distances between server workloads
Performance Evaluation
Towards workflow-driven database system workload modeling
Proceedings of the Second International Workshop on Testing Database Systems
Fast model-based test case classification for performance analysis of multimedia MPSoC platforms
CODES+ISSS '09 Proceedings of the 7th IEEE/ACM international conference on Hardware/software codesign and system synthesis
Finding representative workloads for computer system design
Finding representative workloads for computer system design
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Understanding the characteristics of workloads is extremely important in the design of efficient computer architectures. Accurate characterization of workload behavior leads to the design of improved architectures. The characterization of applications allows to tune processor micro-architecture, memory hierarchy and system architecture to suit particular features in programs. Workload characterization also has a significant impact on performance evaluation. Understanding the nature of the workload and its intrinsic features can help to interpret performance measurements and simulation results. Identifying and characterizing the intrinsic properties of an application in terms of its memory access behavior, locality, control flow behavior, instruction level parallelism, etc. can eventually lead to a program behavior model, which can be used in conjunction with a processor model to do analytical performance modeling of computer systems. In this paper, we describe the objectives of workload characterization and emphasize the importance of obtaining architecture independent metrics for workloads. A study of memory reference locality using some generic metrics is presented as an example.