Lazy cache invalidation for self-modifying codes
Proceedings of the 2012 international conference on Compilers, architectures and synthesis for embedded systems
DaaC: device-reserved memory as an eviction-based file cache
Proceedings of the 2012 international conference on Compilers, architectures and synthesis for embedded systems
Supporting distributed execution of smartphone workloads on loosely coupled heterogeneous processors
HotPower'12 Proceedings of the 2012 USENIX conference on Power-Aware Computing and Systems
Journal of Computational Physics
D-MRAM cache: enhancing energy efficiency with 3T-1MTJ DRAM/MRAM hybrid memory
Proceedings of the Conference on Design, Automation and Test in Europe
RDIP: return-address-stack directed instruction prefetching
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
Panappticon: event-based tracing to measure mobile application and platform performance
Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Performance and power profiling for emulated Android systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
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Smartphones have recently overtaken PCs as the primary consumer computing device in terms of annual unit shipments. Given this rapid market growth, it is important that mobile system designers and computer architects analyze the characteristics of the interactive applications users have come to expect on these platforms. With the introduction of high-performance, low-power, general purpose CPUs in the latest smartphone models, users now expect PC-like performance and a rich user experience, including high-definition audio and video, high-quality multimedia, dynamic web content, responsive user interfaces, and 3D graphics. In this paper, we characterize the microarchitectural behavior of representative smartphone applications on a current-generation mobile platform to identify trends that might impact future designs. To this end, we measure a suite of widely available mobile applications for audio, video, and interactive gaming. To complete this suite we developed BBench, a new fully-automated benchmark to assess a web-browser's performance when rendering some of the most popular and complex sites on the web. We contrast these applications' characteristics with those of the SPEC CPU2006 benchmark suite. We demonstrate that real-world interactive smartphone applications differ markedly from the SPEC suite. Specifically the instruction cache, instruction TLB, and branch predictor suffer from poor performance. We conjecture that this is due to the applications' reliance on numerous high level software abstractions (shared libraries and OS services). Similar trends have been observed for UI-intensive interactive applications on the desktop.