993 research outputs found
Performance awareness: execution performance of HEP codes on RISC platforms,issues and solutions
The work described in this paper was started during the migration of Aleph's production jobs from the IBM mainframe/CRAY supercomputer to several RISC/Unix workstation platforms. The aim was to understand why Aleph did not obtain the performance on the RISC platforms that was "promised" after a CERN Unit comparison between these RISC platforms and the IBM mainframe. Remedies were also sought. Since the work with the Aleph jobs in turn led to the related task of understanding compilers and their options, the conditions under which the CERN benchmarks (and other benchmarks) were run, kernel routines and frequently used CERNLIB routines, the whole undertaking expanded to try to look at all the factors that influence the performance of High Energy Physics (HEP) jobs in general. Finally, key performance issues were reviewed against the programs of one of the LHC collaborations (Atlas) with the hope that the conclusions would be of long- term interest during the establishment of their simulation, reconstruction and analysis codes
PC as physics computer for LHC?
In the last five years, we have seen RISC workstations take over the computing scene that was once controlled by mainframes and supercomputers. In this paper we will argue that the same phenomenon might happen again. A project, active since March this year in the Physics Data Processing group of CERN's CN division is described where ordinary desktop PCs running Windows (NT and 3.11) have been used for creating an environment for running large LHC batch jobs (initially the DICE simulation job of Atlas). The problems encountered in porting both the CERN library and the specific Atlas codes are described together with some encouraging benchmark results when comparing to existing RISC workstations in use by the Atlas collaboration. The issues of establishing the batch environment (Batch monitor, staging software, etc.) are also covered. Finally a quick extrapolation of commodity computing power available in the future is touched upon to indicate what kind of cost envelope could be sufficient for the simulation farms required by the LHC experiments
Elastic scattering of low energy pions by nuclei and the in-medium isovector pi N amplitude
Measurements of elastic scattering of 21.5 MeV pi+ and pi- by Si, Ca, Ni and
Zr were made using a single arm magnetic spectrometer. Absolute calibration was
made by parallel measurements of Coulomb scattering of muons. Parameters of a
pion-nucleus optical potential were obtained from fits to all eight angular
distributions put together. The `anomalous' s-wave repulsion known from pionic
atoms is clearly observed and could be removed by introducing a
chiral-motivated density dependence of the isovector scattering amplitude,
which also greatly improved the fits to the data. The empirical energy
dependence of the isoscalar amplitude also improves the fits to the data but,
contrary to what is found with pionic atoms, on its own is incapable of
removing the anomaly.Comment: 20 pages, 5 figures, 5 tables. V2 added details on
uncertainties,extended discussion. To appear in PR
Enhanced biomechanical closed kinetic chain therapy intervention in the rehabilitation of patients after total Hip Arthroplasty
Runaway Events Dominate the Heavy Tail of Citation Distributions
Statistical distributions with heavy tails are ubiquitous in natural and
social phenomena. Since the entries in heavy tail have disproportional
significance, the knowledge of its exact shape is very important. Citations of
scientific papers form one of the best-known heavy tail distributions. Even in
this case there is a considerable debate whether citation distribution follows
the log-normal or power-law fit. The goal of our study is to solve this debate
by measuring citation distribution for a very large and homogeneous data. We
measured citation distribution for 418,438 Physics papers published in
1980-1989 and cited by 2008. While the log-normal fit deviates too strong from
the data, the discrete power-law function with the exponent does
better and fits 99.955% of the data. However, the extreme tail of the
distribution deviates upward even from the power-law fit and exhibits a
dramatic "runaway" behavior. The onset of the runaway regime is revealed
macroscopically as the paper garners 1000-1500 citations, however the
microscopic measurements of autocorrelation in citation rates are able to
predict this behavior in advance.Comment: 6 pages, 5 Figure
Universality, limits and predictability of gold-medal performances at the Olympic Games
Inspired by the Games held in ancient Greece, modern Olympics represent the
world's largest pageant of athletic skill and competitive spirit. Performances
of athletes at the Olympic Games mirror, since 1896, human potentialities in
sports, and thus provide an optimal source of information for studying the
evolution of sport achievements and predicting the limits that athletes can
reach. Unfortunately, the models introduced so far for the description of
athlete performances at the Olympics are either sophisticated or unrealistic,
and more importantly, do not provide a unified theory for sport performances.
Here, we address this issue by showing that relative performance improvements
of medal winners at the Olympics are normally distributed, implying that the
evolution of performance values can be described in good approximation as an
exponential approach to an a priori unknown limiting performance value. This
law holds for all specialties in athletics-including running, jumping, and
throwing-and swimming. We present a self-consistent method, based on normality
hypothesis testing, able to predict limiting performance values in all
specialties. We further quantify the most likely years in which athletes will
breach challenging performance walls in running, jumping, throwing, and
swimming events, as well as the probability that new world records will be
established at the next edition of the Olympic Games.Comment: 8 pages, 3 figures, 1 table. Supporting information files and data
are available at filrad.homelinux.or
Adverse Selection in Private Annuity Markets and the Role of Mandatory Social Annuitization
We study the effects on the macroeconomic equilibrium, the wealth distribution, and welfare of adverse selection in private annuity markets in a closed economy inhabited by overlapping generations of heterogeneous agents who are distinguished by their health status. If an agent's health type is private information there will be a pooling equilibrium in the private annuity market. We also study the implications for the macro-economy and welfare of a social security system with mandatory contributions that are constant across health types. These social annuities are immune to adverse selection and therefore offer a higher rate of return than private annuities do. However, they have a negative effect on the steady-state capital intensity and welfare. The positive effect of a fair pooled rate of return on a fixed part of savings and a higher return on capital in equilibrium is outweighed by the negative consequences of increased adverse selection in the private annuity market and a lower wage rate
Microscopic Study Reveals the Singular Origins of Growth
P.W. Anderson proposed the concept of complexity in order to describe the
emergence and growth of macroscopic collective patterns out of the simple
interactions of many microscopic agents. In the physical sciences this paradigm
was implemented systematically and confirmed repeatedly by successful
confrontation with reality. In the social sciences however, the possibilities
to stage experiments to validate it are limited. During the 90's a series of
dramatic political and economic events have provided the opportunity to do so.
We exploit the resulting empirical evidence to validate a simple agent based
alternative to the classical logistic dynamics. The post-liberalization
empirical data from Poland confirm the theoretical prediction that the dynamics
is dominated by singular rare events which insure the resilience and
adaptability of the system. We have shown that growth is led by few singular
"growth centers" (Figure 1), that initially developed at a tremendous rate
(Figure3), followed by a diffusion process to the rest of the country and
leading to a positive growth rate uniform across the counties. In addition to
the interdisciplinary unifying potential of our generic formal approach, the
present work reveals the strong causal ties between the "softer" social
conditions and their "hard" economic consequences.Comment: 20 pages, 6 figure
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