19,540 research outputs found
Implementation of the conjugate gradient algorithm on FPGA devices
Results of porting parts of the Lattice Quantum Chromodynamics code to modern
FPGA devices are presented. A single-node, double precision implementation of
the Conjugate Gradient algorithm is used to invert numerically the Dirac-Wilson
operator on a 4-dimensional grid on a Xilinx Zynq evaluation board. The code is
divided into two software/hardware parts in such a way that the entire
multiplication by the Dirac operator is performed in programmable logic, and
the rest of the algorithm runs on the ARM cores. Optimized data blocks are used
to efficiently use data movement infrastructure allowing to reach intervals of
1 clock cycle. We show that the FPGA implementation can offer a comparable
performance compared to that obtained using Intel Xeon Phi KNL.Comment: Proceedings of the 36th Annual International Symposium on Lattice
Field Theory - LATTICE201
The Role of Group Learning in Implementation of a Personnel Management System in a Hospital
A new HR system was introduced in a Dutch hospital. The system implied collaborative work among its users. The project planning seemed to be reasonably straightforward: the system's introduction was intended to take place gradually, including pilots in different departments and appropriate feedback. After some time, the system was successfully adopted by one group of users, but failed with another. We conceptualize the implementation process of groupware as group learning to frame the adoption of the system, and analyze the qualitative data collected during the longitudinal case study. We found that in the user group with strong group learning, adoption of the system occurred effectively and on time. In another user group with rather weak group learning, the use of the system was blocked after a short time. The results provided a first confirmation of our assumption about the importance of group learning processes in the implementation of groupware
Measuring impact of academic research in computer and information science on society
Academic research in computer & information science (CIS) has
contributed immensely to all aspects of society. As academic
research today is substantially supported by various government
sources, recent political changes have created ambivalence
amongst academics about the future of research funding. With
uncertainty looming, it is important to develop a framework to
extract and measure the information relating to impact of CIS
research on society to justify public funding, and demonstrate the
actual contribution and impact of CIS research outside academia.
A new method combining discourse analysis and text mining of a
collection of over 1000 pages of impact case study documents
written in free-text format for the Research Excellence
Framework (REF) 2014 was developed in order to identify the
most commonly used categories or headings for reporting impact
of CIS research by UK Universities (UKU). According to the
research reported in REF2014, UKU acquired 83 patents in
various areas of CIS, created 64 spin-offs, generated £857.5
million in different financial forms, created substantial
employment, reached over 6 billion users worldwide and has
helped save over £1 billion Pounds due to improved processes etc.
to various sectors internationally, between 2008 and 2013
Numerical solution of optimal control problems with constant control delays
We investigate a class of optimal control problems that exhibit constant exogenously given delays in the control in the equation of motion of the differential states. Therefore, we formulate an exemplary optimal control problem with one stock and one control variable and review some analytic properties of an optimal solution. However, analytical considerations are quite limited in case of delayed optimal control problems. In order to overcome these limits, we reformulate the problem and apply direct numerical methods to calculate approximate solutions that give a better understanding of this class of optimization problems. In particular, we present two possibilities to reformulate the delayed optimal control problem into an instantaneous optimal control problem and show how these can be solved numerically with a state-of-the-art direct method by applying Bock’s direct multiple shooting algorithm. We further demonstrate the strength of our approach by two economic examples.delayed differential equations, delayed optimal control, numerical optimization, time-to-build
accuracy: Tools for Accurate and Reliable Statistical Computing
Most empirical social scientists are surprised that low-level numerical issues in software can have deleterious effects on the estimation process. Statistical analyses that appear to be perfectly successful can be invalidated by concealed numerical problems. We have developed a set of tools, contained in accuracy, a package for R and S-PLUS, to diagnose problems stemming from numerical and measurement error and to improve the accuracy of inferences. The tools included in accuracy include a framework for gauging the computational stability of model results, tools for comparing model results, optimization diagnostics, and tools for collecting entropy for true random numbers generation.
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