paper: add abstract

miscellaneous/paper/sozopol13/abstract.tex

+\documentclass[12pt,a4paper]{article}
+\title{Harnessing Wasted Computing Power for Scientific Computing} 
+\author{S\'andor Guba, M\'at\'e \H{O}ry and Imre Szeber\'enyi\\
+Budapest University of Technology and Economics, %\\
+%Magyar Tud\'osok k\"or\'utja 2, H-1117 Budapest,
+Hungary}
+\date{\empty}
+
+\begin{document} 
+\maketitle
+
+
+Nowadays more and more general purpose workstations installed in a student
+laboratory have built in multi-core CPU and graphics card providing significant
+computing power. In most cases the utilization of these resources is low, and
+limited to lecture hours. The concept of utility computing plays an important
+role in nowadays technological development. As part of utility computing, cloud
+computing offers greater flexibility and responsiveness to ICT users at lower
+cost.
+
+In  this paper, we introduce a cloud management system which enables the
+simultaneous use of both dedicated resources and opportunistic environment. All
+the free workstations (powered or not) are automatically added to a resource
+pool, and can be used like ordinary cloud resources. Researchers can launch
+various virtualized software appliances. Our solution leverages the advantages
+of HTCondor and OpenNebula systems.
+
+Modern graphics processing units (GPUs) with many-core architectures have
+emerged as general-purpose parallel computing platforms that can dramatically
+accelerate  scientific applications used for various simulations. Our business
+model harnesses computing power of GPUs as well, using the needed amount of
+unused machines. This makes the infrastructure flexible and power efficient.
+
+Our pilot infrastructure consist of a high performance cluster and 28
+workstations with dual-core CPUs and dedicated graphics cards. Altogether we
+can use 10,752 CUDA cores through the network.
+
+\end{document}

miscellaneous/paper/sozopol13/proceedings.tex

@@ -30,10 +30,31 @@ Scientific Computing}
 \maketitle              % typeset the title of the contribution
 
 \begin{abstract}
-The abstract should summarize the contents of the paper
-using at least 70 and at most 150 words. It will be set in 9-point
-font size and be inset 1.0 cm from the right and left margins.
-There will be two blank lines before and after the Abstract. \dots
+Nowadays more and more general purpose workstations installed in a student
+laboratory have built in multi-core CPU and graphics card providing significant
+computing power. In most cases the utilization of these resources is low, and
+limited to lecture hours. The concept of utility computing plays an important
+role in nowadays technological development. As part of utility computing, cloud
+computing offers greater flexibility and responsiveness to ICT users at lower
+cost.
+
+In  this paper, we introduce a cloud management system which enables the
+simultaneous use of both dedicated resources and opportunistic environment. All
+the free workstations (powered or not) are automatically added to a resource
+pool, and can be used like ordinary cloud resources. Researchers can launch
+various virtualized software appliances. Our solution leverages the advantages
+of HTCondor and OpenNebula systems.
+
+Modern graphics processing units (GPUs) with many-core architectures have
+emerged as general-purpose parallel computing platforms that can dramatically
+accelerate  scientific applications used for various simulations. Our business
+model harnesses computing power of GPUs as well, using the needed amount of
+unused machines. This makes the infrastructure flexible and power efficient.
+
+Our pilot infrastructure consist of a high performance cluster and 28
+workstations with dual-core CPUs and dedicated graphics cards. Altogether we
+can use 10,752 CUDA cores through the network.
+% felére kell rövidíteni kb.
 \keywords{education cloud, grid computing, GPGPU}
 \end{abstract}
 %