A new deterministic model of strange stars

The observed evidence for the existence of strange stars and the concomitant observed masses and radii are used to derive an interpolation formula for the mass as a function of the radial coordinate. The resulting general mass function becomes an effective model for a strange star. The analysis is based on the MIT bag model and yields the energy density, as well as the radial and transverse pressures. Using the interpolation function for the mass, it is shown that a mass-radius relation due to Buchdahl is satisfied in our model. We find the surface redshift ($Z$) corresponding to the compactness of the stars. Finally, from our results, we predict some characteristics of a strange star of radius 9.9 km.Comment: one new figures and minor revisions have been done. To appear in Eur.Phys.J.

Mixed-mode multicore reliability

Future processors are expected to observe increasing rates of hardware faults. Using Dual-Modular Redundancy (DMR), two cores of a multicore can be loosely coupled to redundantly execute a single software thread, providing very high coverage from many difference sources of faults. This reliability, however, comes at a high price in terms of per-thread IPC and overall system throughput. We make the observation that a user may want to run both applications requiring high reliability, such as financial software, and more fault tolerant applications requiring high performance, such as media or web software, on the same machine at the same time. Yet a traditional DMR system must fully operate in redundant mode whenever any application requires high reliability. This paper proposes a Mixed-Mode Multicore (MMM), which enables most applications, including the system software, to run with high reliability in DMR mode, while applications that need high performance can avoid the penalty of DMR. Though conceptually simple, two key challenges arise: 1) care must be taken to protect reliable applications from any faults occurring to applications running in high performance mode, and 2) the desire to execute additional independent software threads for a performance application complicates the scheduling of computation to cores. After solving these issues, an MMM is shown to improve overall system performance, compared to a traditional DMR system, by approximately 2X when one reliable and one performance application are concurrently executing

Charged anisotropic matter with linear or nonlinear equation of state

Ivanov pointed out substantial analytical difficulties associated with self-gravitating, static, isotropic fluid spheres when pressure explicitly depends on matter density. Simplification achieved with the introduction of electric charge were noticed as well. We deal with self-gravitating, charged, anisotropic fluids and get even more flexibility in solving the Einstein-Maxwell equations. In order to discuss analytical solutions we extend Krori and Barua's method to include pressure anisotropy and linear or non-linear equations of state. The field equations are reduced to a system of three algebraic equations for the anisotropic pressures as well as matter and electrostatic energy densities. Attention is paid to compact sources characterized by positive matter density and positive radial pressure. Arising solutions satisfy the energy conditions of general relativity. Spheres with vanishing net charge contain fluid elements with unbounded proper charge density located at the fluid-vacuum interface. Notably the electric force acting on these fluid elements is finite, although the acting electric field is zero. Net charges can be huge ($10^{19}\,C$) and maximum electric field intensities are very large ($10^{23}-10^{24}\,statvolt/cm$) even in the case of zero net charge. Inward-directed fluid forces caused by pressure anisotropy may allow equilibrium configurations with larger net charges and electric field intensities than those found in studies of charged isotropic fluids. Links of these results with charged strange quark stars as well as models of dark matter including massive charged particles are highlighted. The van der Waals equation of state leading to matter densities constrained by cubic polynomial equations is briefly considered. The fundamental question of stability is left open.Comment: 22 Latex pages, 17 figures, Inclusion of new paragraph at the end of Conclusion & some of the old captions of the Figures are replaced with new caption

Difference in root K+ retention ability and reduced sensitivity of K+ -permeable channels to reactive oxygen species confer differential salt tolerance in three Brassica species

Brassica species are known to possess significant inter and intraspecies variability in salinity stress tolerance, but the cell-specific mechanisms conferring this difference remain elusive. In this work, the role and relative contribution of several key plasma membrane transporters to salinity stress tolerance were evaluated in three Brassica species (B. napus, B. juncea, and B. oleracea) using a range of electrophysiological assays. Initial root growth assay and viability staining revealed that B. napus was most tolerant amongst the three species, followed by B. juncea and B. oleracea. At the mechanistic level, this difference was conferred by at least three complementary physiological mechanisms: (i) higher Na+ extrusion ability from roots resulting from increased expression and activity of plasma membrane SOS1-like Na+/H+ exchangers; (ii) better root K+ retention ability resulting from stress-inducible activation of H+-ATPase and ability to maintain more negative membrane potential under saline conditions; and (iii) reduced sensitivity of B. napus root K+ -permeable channels to reactive oxygen species (ROS). The last two mechanisms played the dominant role and conferred most of the differential salt sensitivity between species. Brassica napus plants were also more efficient in preventing the stress-induced increase in GORK transcript levels and up-regulation of expression of AKT1, HAK5, and HKT1 transporter genes. Taken together, our data provide the mechanistic explanation for differential salt stress sensitivity amongst these species and shed light on transcriptional and post-translational regulation of key ion transport systems involved in the maintenance of the root plasma membrane potential and cytosolic K/Na ratio as a key attribute for salt tolerance in Brassica species

Energy Efficient Network-on-Chip Architectures for Many-Core Near-Threshold Computing System

Near threshold computing has unraveled a promising design space for energy efficient computing. However, it is still plagued by sub-optimal system performance. Application characteristics and hardware non-idealities of conventional architectures (those optimized for nominal voltage) prevent us from fully leveraging the potential of NTC systems. Increasing the computational core count still forms the bedrock of a multitude of contemporary works that address the problem of performance degradation in NTC systems. However, these works do not categorically address the shortcomings of the conventional on-chip interconnect fabric in a many core environment. In this work, we quantitatively demonstrate the performance bottleneck created by a conventional NTC architecture in many-core NTC systems. To reclaim the performance lost due to a sub-optimal NoC in many-core NTC systems, we propose BoostNoC—a power efficient, multi-layered network-on-chip architecture. BoostNoC improves the system performance by nearly 2× over a conventional NTC system, while largely sustaining its energy benefits. Further, capitalizing on the application characteristics, we propose two BoostNoC derivative designs: (i) PG BoostNoC; and (ii) Drowsy BoostNoC; to improve the energy efficiency by 1.4× and 1.37×, respectively over conventional NTC system