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Evaluation of a Benchmark Suite Exposing Android System Complexities Using Region-Based CachingUnknown Date (has links)
The computer architecture community relies on standard benchmark suites like MiBench, NAS, PARSEC, SPEC CPU2006 (SPEC)®, and
SPLASH to study different hardware designs, but such suites are insufficient for evaluating mobile platforms like Android. Even suites
that were developed for embedded systems cannot be used to gain an understanding of Android device/system interaction because they do not
exercise key components of the software stack. Although based on a conventional Linux ® kernel, Android includes native libraries, a
virtual machine runtime, and an application framework with multiple components for managing resources. All these interact in complex ways
to support Android applications. C programs running on Linux have a relatively simple virtual memory organization, and most memory
references come from the application code. In contrast, Android has a much more complex virtual memory organization (due to its multiple
APIs and numerous shared libraries), and most memory references come from the Android software stack. The complexity of Android's
execution environment provides opportunities for computer architects to better support the execution characteristics, structures, and
resource requirements of the Android software stack and opportunities for software developers to optimize their applications for this rich
environment. To help the community to exploit these opportunities, we introduce Agave, an open-source benchmark suite designed to expose
the complex interactions between components of the Android software stack. / A Dissertation submitted to the Department of Computer Science in partial fulfillment of the
requirements for the degree of Doctor of Philosophy. / Fall Semester 2016. / November 14, 2016. / Android, Based, Benchmark, Caching, Region / Includes bibliographical references. / Gary Tyson, Professor Directing Dissertation; Linda DeBrunner, University Representative; David
Whalley, Committee Member; Xin Yuan, Committee Member.
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The Dynamic Mapping ArchitectureRoyko, Thomas Charles January 2021 (has links)
No description available.
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203 |
Continuous Human Activity Tracking over a Large Area with Multiple Kinect SensorsHans, Akshat C. 31 August 2018 (has links)
No description available.
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204 |
Internet of Wearable Things: Cooperative Sensing and Computing for Hand Gesture RecognitionZhang, Xiaoliang 01 February 2019 (has links)
No description available.
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Accelerating Analytical Query Processing with Data Placement Conscious Optimization and RDMA-aware Query ExecutionLiu, Feilong January 2018 (has links)
No description available.
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Designing High Performance Scheduling Policies in Multi-channel and Multi-antenna NetworksQian, Zhenzhi 25 June 2019 (has links)
No description available.
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Approximation algorithms for routing and related problems on directed minor-free graphsSalmasi, Ario 02 October 2019 (has links)
No description available.
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208 |
Sensing and Anti-sensing with Wireless Communication SignalZhang, Ouyang 17 October 2019 (has links)
No description available.
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Enabling Efficient Parallelism for Applications with Dependences and Irregular Memory AccessesJiang, Peng 06 November 2019 (has links)
No description available.
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210 |
Predicting Performance of Parallel Analytics and Irregular ComputationsZhu, Gangyi 23 October 2019 (has links)
No description available.
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