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Titlebook: High Performance Embedded Architectures and Compilers; Second International Koen Bosschere,David Kaeli,Theo Ungerer Conference proceedings

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Bounds Checking with Taint-Based Analysisverhead. We also propose a compiler optimization that prunes the bounds checks that are not necessary to guarantee security. The optimization is based on the observation that buffer overflow attacks are launched through external inputs. Therefore, it is sufficient to bounds check only the accesses t
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Fetch Gating Control Through Speculative Instruction Window Weightingthe back-end execution core. Till recently, the front-end was designed to maximize performance without considering energy consumption. The front-end fetches instructions as fast as it can until it is stalled by a filled issue queue or some other blocking structure. This approach wastes energy: (i) s
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Dynamic Capacity-Speed Tradeoffs in SMT Processor Cachesions, and even different phases within the same application, may require a different capacity-speed tradeoff. This problem is exacerbated in a Simultaneous Multi-Threaded (SMT) processor where the optimal cache design may vary drastically with the number of running threads and their characteristics.
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Branch History Matching: Branch Predictor Warmup for Sampled Simulationandard benchmark on today’s fastest machines and simulators takes several weeks. A practical solution to the simulation problem is sampling. Sampled simulation selects a number of sampling units out of a complete program execution and only simulates those sampling units in detail. An important probl
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Efficient Program Power Behavior Characterizationmulation is time consuming and often inaccurate. Physical power measurement is faster and objective. However, fine-grained measurement generates enormous amounts of data in which locating important features is difficult, while coarse-grained measurement sacrifices important detail..We present a prog
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Performance/Energy Optimization of DSP Transforms on the XScale Processorhandle for the code optimization with respect to energy consumption or runtime performance. We quantify the effect of frequency configurations on both performance and energy for three signal processing transforms: the discrete Fourier transform (DFT), finite impulse response (FIR) filters, and the W
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