65 research outputs found

    Express cubes: improving the performance of k-ary n-cube interconnection networks

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    A Hardware Architecture for Switch-Level Simulation

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    A Bottom-Up Approach to On-Chip Signal Integrity

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    The Dipion Mass Spectrum In e+e- Annihilation and tau Decay: A Dynamical (rho0, omega, phi) Mixing Approach

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    We readdress the problem of finding a simultaneous description of the pion form factor data in e+e- annihilations and in tau decays. For this purpose, we work in the framework of the Hidden Local Symmetry (HLS) Lagrangian and modify the vector meson mass term by including the pion and kaon loop contributions. This leads us to define the physical rho, omega and phi fields as linear combinations of their ideal partners, with coefficients being meromorphic functions of s, the square of the 4--momentum flowing into the vector meson lines. This allows us to define a dynamical, i.e. s-dependent, vector meson mixing scheme. The model is overconstrained by extending the framework in order to include the description of all meson radiative (V P gamma and P gamma gamma couplings) and leptonic (Ve+e- couplings) decays and also the isospin breaking (omega/ phi --> pi+ pi-) decay modes. The model provides a simultaneous, consistent and good description of the e+e- and tau dipion spectra. The expression for pion form factor in the latter case is derived from those in the former case by switching off the isospin breaking effects specific to e+e- and switching on those for tau decays. Besides, the model also provides a good account of all decay modes of the form V P gamma, Pgamma gamma as well as the isospin breaking decay modes. It leads us to propose new reference values for the rho^0 --> e+ e- and omega --> pi+ pi- partial widths which are part of our description of the pion form factor. Other topics (phi --> K anti K, the rho meson mass and width parameters) are briefly discussed. Therefore, we confirm the 3.3 sigma discrepancy between the theoretical estimate of a_mu based on e+e- and its direct BNL measurement.Comment: 71 pages, 8 figures. Accepted by EPJ C. Version 3: correct minor typos, minor changes spread out into the text. Extension of Sections 12.2 and 12.3.5 and introduction of the new Appendix

    Topology-aware Quality-of-Service Support in Highly Integrated Chip Multiprocessors

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    Current design complexity trends, poor wire scalability, and power limitations argue in favor of highly modular onchip systems. Today’s state-of-the-art CMPs already feature up to a hundred discrete cores. With increasing levels of integration, CMPs with hundreds of cores, cache tiles, and specialized accelerators are anticipated in the near future. Meanwhile, server consolidation and cloud computing paradigms have emerged as profit vehicles for exploiting abundant resources of chip-multiprocessors. As multiple, potentially malevolent, users begin to share virtualized resources of a single chip, CMP-level quality-of-service (QOS) support becomes necessary to provide performance isolation, service guarantees, and security. This work takes a topology-aware approach to on-chip QOS. We propose to segregate shared resources, such as memory controllers and accelerators, into dedicated islands (shared regions) of the chip with full hardware QOS support. We rely on a richly connected Multidrop Express Channel (MECS) topology to connect individual nodes to shared regions, foregoing QOS support in much of the substrate and eliminating its respective overheads. We evaluate several topologies for the QOSenabled shared regions, focusing on the interaction between network-on-chip (NOC) and QOS metrics. We explore a new topology called Destination Partitioned Subnets (DPS), which uses a light-weight dedicated network for each destination node. On synthetic workloads, DPS nearly matches or outperforms other topologies with comparable bisection bandwidth in terms of performance, area overhead, energyefficiency, fairness, and preemption resilience.

    Virtual-channel flow control

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    Performance analysis of k-ary n-cube interconnection networks

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