6,395 research outputs found
FAST TCP: Motivation, Architecture, Algorithms, Performance
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
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 6, 8, 12 and varied the aspect ratio
over the range . 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 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
We study the region of the QCD phase transition using 2+1 flavors of domain
wall fermions (DWF) and a lattice volume with a fifth dimension
of . 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 is GeV, the pion mass is MeV
and the kaon mass is approximately physical. The peak in the chiral
susceptibility implies a pseudo critical temperature 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 .Comment: 41 pages, 10 tables, 13 figure
Toward a unified theory of sparse dimensionality reduction in Euclidean space
Let be a sparse Johnson-Lindenstrauss
transform [KN14] with non-zeroes per column. For a subset of the unit
sphere, given, we study settings for required to
ensure i.e. so that preserves the norm of every
simultaneously and multiplicatively up to . We
introduce a new complexity parameter, which depends on the geometry of , and
show that it suffices to choose and such that this parameter is small.
Our result is a sparse analog of Gordon's theorem, which was concerned with a
dense 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
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
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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