Exploiting hardware performance counters with flow and context sensitive profiling
Proceedings of the ACM SIGPLAN 1997 conference on Programming language design and implementation
Efficient performance prediction for modern microprocessors
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Measuring Experimental Error in Microprocessor Simulation
ISCA '01 Proceedings of the 28th annual international symposium on Computer architecture
A Characterization of Processor Performance in the vax-11/780
ISCA '84 Proceedings of the 11th annual international symposium on Computer architecture
GraalBench: a 3D graphics benchmark suite for mobile phones
Proceedings of the 2004 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
A Study on Japanese Mobile Phone Market and Its Applications
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Effectiveness of simple memory models for performance prediction
ISPASS '04 Proceedings of the 2004 IEEE International Symposium on Performance Analysis of Systems and Software
The M5 Simulator: Modeling Networked Systems
IEEE Micro
An Intensive Survey of 3G Mobile Phone Technologies and Applications in Japan
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
ACM SIGARCH Computer Architecture News
Improving energy efficiency for mobile platforms by exploiting low-power sleep states
Proceedings of the 9th conference on Computing Frontiers
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As mobile applications and devices become ubiquitous, consumer demands for performance, power efficiency, and connectivity are increasing. The software framework existing on mobile internet devices is a complex interaction of real-time tasks, non-real-time applications, and operating system management routines. Traditional simulation approaches are poorly suited to modeling the overall performance characteristics of such systems. Additionally, many traditional benchmark suites used in academia and industry for microprocessor benchmarking and design have been found to be unrepresentative of mobile workloads. This paper presents multiple frameworks utilized for accurately modeling system-level performance of embedded systems used for mobile applications. Furthermore, this paper provides an in-depth workload characterization and memory-level analysis of internet and media-centric applications. All workload characterization is performed running full operating systems and software stacks. For comparison purposes, the system-level analysis is performed at three distinct levels: Full RTL emulation with device peripherals, software-level emulation, and through performance counters on real-world devices. The same mobile workload and operating system is run across all of these platforms.