سالیتون ها و برگشت fpu

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Branch Write Back SRU FPU 3 FPU 2 FPU 1 FX

This paper presents the performance of DSP, image and 3D applications on recent general-purpose microprocessors using streaming SIMD ISA extensions (integer and oating point). The 9 benchmarks benchmark we use for this evaluation have been optimized for DLP and caches use with SIMD extensions and data prefetch. The result of these cumulated optimizations is a speedup that ranges from 1.9 to 7.1...

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On Metastability in FPU

We present an analytical study of the Fermi–Pasta–Ulam (FPU) α– model with periodic boundary conditions. We analyze the dynamics corresponding to initial data with some low frequency Fourier modes excited. We show that, correspondignly, a pair of KdV equations constitute the resonant normal form of the system. We also use such a normal form in order to prove the existence of a metastability phe...

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The anti-FPU problem.

We present a detailed analysis of the modulational instability of the zone-boundary mode for one and higher-dimensional Fermi-Pasta-Ulam (FPU) lattices. Following this instability, a process of relaxation to equipartition takes place, which we have called the Anti-FPU problem because the energy is initially fed into the highest frequency part of the spectrum, at variance with the original FPU p...

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Intermittent FPU dynamics at equilibrium

The equilibrium value of an observable defines a manifold in the phase space of an ergodic and equipartitioned many-body system. A typical trajectory pierces that manifold infinitely often as time goes to infinity. We use these piercings to measure both the relaxation time of the lowest frequency eigenmode of the Fermi-Pasta-Ulam chain, as well as the fluctuations of the subsequent dynamics in ...

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Approximate Computation using Neuralized FPU

Neural networks can be used as function approximators to improve the energy efficiency, performance, and fault-tolerance of traditional computer architectures. To maximize these improvements the granularity of the function must be as large as possible. This work-inprogress abstract explores the lower limits of neural network function approximation by replacing individual floating point multipli...

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Vectorization Techniques for BlueGene/L’s Double FPU

This paper presents vectorization techniques tailored to meet the specifics of the twoway single-instruction multiple-data (SIMD) double-precision floating-point unit, which is a core element of the node ASICs of IBM's 360 Tflop/s supercomputer BlueGene/L. The paper focuses on the general-purpose basic-block vectorization methods provided by the Vienna MAP vectorizer. In addition, the paper int...

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