6,395 research outputs found

    FAST TCP: Motivation, Architecture, Algorithms, Performance

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    We describe FAST TCP, a new TCP congestion control algorithm for high-speed long-latency networks, from design to implementation. We highlight the approach taken by FAST TCP to address the four difficulties which the current TCP implementation has at large windows. We describe the architecture and summarize some of the algorithms implemented in our prototype. We characterize its equilibrium and stability properties. We evaluate it experimentally in terms of throughput, fairness, stability, and responsiveness

    Chiral phase transition of (2+1)-flavor QCD

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    We present here results on the determination of the critical temperature in the chiral limit for (2+1)-flavor QCD. We propose two novel estimators of the chiral critical temperature where quark mass dependence is strongly suppressed compared to the conventional estimator using pseudo-critical temperatures. We have used the HISQ/tree action for the numerical simulation with lattices with three different temporal extent Nτ=N_{\tau}=6, 8, 12 and varied the aspect ratio over the range 4Nσ/Nτ84 \leq N_{\sigma}/N_{\tau} \leq 8. To approach the chiral limit, the light quark mass has been decreased keeping the strange quark mass fixed at its physical value. Our simulations correspond to the range of pion masses, 55 MeV mπ\leq m_{\pi} \leq 160 MeV.Comment: Prepared for the proceedings of Quark Matter 201

    The finite temperature QCD using 2+1 flavors of domain wall fermions at N_t = 8

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    We study the region of the QCD phase transition using 2+1 flavors of domain wall fermions (DWF) and a 163×816^3 \times 8 lattice volume with a fifth dimension of Ls=32L_s = 32. The disconnected light quark chiral susceptibility, quark number susceptibility and the Polyakov loop suggest a chiral and deconfining crossover transition lying between 155 and 185 MeV for our choice of quark mass and lattice spacing. In this region the lattice scale deduced from the Sommer parameter r0r_0 is a11.3a^{-1} \approx 1.3 GeV, the pion mass is 300\approx 300 MeV and the kaon mass is approximately physical. The peak in the chiral susceptibility implies a pseudo critical temperature Tc=171(10)(17)T_c = 171(10)(17) MeV where the first error is associated with determining the peak location and the second with our unphysical light quark mass and non-zero lattice spacing. The effects of residual chiral symmetry breaking on the chiral condensate and disconnected chiral susceptibility are studied using several values of the valence LsL_s.Comment: 41 pages, 10 tables, 13 figure

    Toward a unified theory of sparse dimensionality reduction in Euclidean space

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    Let ΦRm×n\Phi\in\mathbb{R}^{m\times n} be a sparse Johnson-Lindenstrauss transform [KN14] with ss non-zeroes per column. For a subset TT of the unit sphere, ε(0,1/2)\varepsilon\in(0,1/2) given, we study settings for m,sm,s required to ensure EΦsupxTΦx221<ε, \mathop{\mathbb{E}}_\Phi \sup_{x\in T} \left|\|\Phi x\|_2^2 - 1 \right| < \varepsilon , i.e. so that Φ\Phi preserves the norm of every xTx\in T simultaneously and multiplicatively up to 1+ε1+\varepsilon. We introduce a new complexity parameter, which depends on the geometry of TT, and show that it suffices to choose ss and mm such that this parameter is small. Our result is a sparse analog of Gordon's theorem, which was concerned with a dense Φ\Phi having i.i.d. Gaussian entries. We qualitatively unify several results related to the Johnson-Lindenstrauss lemma, subspace embeddings, and Fourier-based restricted isometries. Our work also implies new results in using the sparse Johnson-Lindenstrauss transform in numerical linear algebra, classical and model-based compressed sensing, manifold learning, and constrained least squares problems such as the Lasso

    Free convective combustion on vertical surfaces-variable property analysis and experiments

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    This paper treats the problem of free convective combustion of near vertical fuel surfaces in quiescent oxidant atmosphere, both theoretically and experimentally. The theory improves on existing theories in terms of taking into account variable thermodynamic and transport properties. The locally similar solutions obtained numerically are compared with earlier predictions as well as experiments on mass burn rate, flame stand off and other features. While comparison in the case of some fuels seems bettered by the use of variable properties, the not-too good a comparision in other cases is traced to experimental inaccuracies more particularly related to the non-achievement of steady combustion. To remedy this, an experimental apparatus was carefully designed and the results of these experiments show good comparison with theoretical predictions in all cases considered

    WOPTIMOP - A Cloud Based Intelligent Method Of Automatically Creating And Delivering Workload Optimized Platform Contents

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    UNIX/Linux being the most preferred enterprise operating platform, provides state-of-art compiler and developer tool chain for almost all programming languages. And so far, has greatly helped enterprise application developers to optimize their applications for their specific workloads, through various set of options and tunables. However, the solution is still partial, as only the application is optimized for the workload. The Operating System and other components of the platform, though allows tuning and customization, is common for all. Hence each and every application and workload being characteristically different, cannot benefit much from such operating platforms. Here we propose a unique innovative solution that provides an Operating Platform completely optimized for a specific enterprise application and workload. The solution is in the form of a cloud based Content Delivery Network (CDN) which internally uses machine learning algorithms to intelligently exercise Profile Based Optimization (PBO)[2] and Runtime Architecture Diagnostics (RTADIAG)[1], and then deliver workload optimized operating platform
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