Determining average program execution times and their variance
PLDI '89 Proceedings of the ACM SIGPLAN 1989 Conference on Programming language design and implementation
MIPS RISC architectures
ATOM: a system for building customized program analysis tools
PLDI '94 Proceedings of the ACM SIGPLAN 1994 conference on Programming language design and implementation
Shade: a fast instruction-set simulator for execution profiling
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Optimally profiling and tracing programs
ACM Transactions on Programming Languages and Systems (TOPLAS)
EEL: machine-independent executable editing
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
Talisman: fast and accurate multicomputer simulation
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Embra: fast and flexible machine simulation
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
Fast out-of-order processor simulation using memoization
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
Complete Computer System Simulation: The SimOS Approach
IEEE Parallel & Distributed Technology: Systems & Technology
Computer
The MIPS R10000 Superscalar Microprocessor
IEEE Micro
Mtool: An Integrated System for Performance Debugging Shared Memory Multiprocessor Applications
IEEE Transactions on Parallel and Distributed Systems
Efficient performance prediction for modern microprocessors
Efficient performance prediction for modern microprocessors
SimICS/sun4m: a virtual workstation
ATEC '98 Proceedings of the annual conference on USENIX Annual Technical Conference
A time-stamping algorithm for efficient performance estimation of superscalar processors
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Performance prediction for random write reductions: a case study in modeling shared memory programs
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Run-time modeling and estimation of operating system power consumption
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Impact of PCI-Bus Load on Applications in a PC Architecture
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Journal of Systems and Software - Special issue: Performance modeling and analysis of computer systems and networks
A methodology for detailed performance modeling of reduction computations on SMP machines
Performance Evaluation - Performance modelling and evaluation of high-performance parallel and distributed systems
Accurate system-level performance modeling and workload characterization for mobile internet devices
Proceedings of the 9th workshop on MEmory performance: DEaling with Applications, systems and architecture
Rapid early-stage microarchitecture design using predictive models
ICCD'09 Proceedings of the 2009 IEEE international conference on Computer design
Kismet: parallel speedup estimates for serial programs
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
Proceedings of the 33rd ACM SIGPLAN conference on Programming Language Design and Implementation
On the Behaviours Produced by Instruction Sequences under Execution
Fundamenta Informaticae
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Generating an accurate estimate of the performance of a program on a given system is important to a large number of people. Computer architects, compiler writers, and developers all need insight into a machine's performance. There are a number of performance estimation techniques in use, from profile-based approaches to full machine simulation. This paper discusses a profile-based performance estimation technique that uses a lightweight instrumentation phase that runs in order number of dynamic instructions, followed by an analysis phase that runs in roughly order number of static instructions. This technique accurately predicts the performance of the core pipeline of a detailed out-of-order issue processor model while scheduling far fewer instructions than does full simulation. The difference between the predicted execution time and the time obtained from full simulation is only a few percent.