@inproceedings{2407, author = {{Lietsch, Stefan and Zabel, Henning and Berssenbruegge, Jan and Wittenberg, Veit and Eikermann, Martin}}, booktitle = {{Proc. Int. Symp. on Visual Computing (ISVC)}}, isbn = {{3-540-48628-3}}, pages = {{343--353}}, publisher = {{Springer}}, title = {{{Light Simulation in a Distributed Driving Simulator}}}, doi = {{10.1007/11919476_35}}, volume = {{4291}}, year = {{2006}}, } @inproceedings{2409, author = {{Birkenheuer, Georg and Döhre, Sven and Hovestadt, Matthias and Kao, Odej and Voss, Kerstin}}, booktitle = {{Proc. Cracow Grid Workshop (CGW)}}, title = {{{On Similarities of Grid Resources for Identifying Potential Migration Targets}}}, year = {{2006}}, } @inbook{1989, author = {{Heine, Felix and Hovestadt, Matthias and Kao, Odej and Keller, Axel}}, booktitle = {{Parallel Computing: Current and Future Issues of High End Computing}}, editor = {{Jouberta, Gerhard R. and Nagel, Wolfgang E. and Peters, Frans J. and Plata, Oscar and Tirado, Francisco and Zapata, Emilio L.}}, pages = {{113--120}}, title = {{{Provision of Fault Tolerance with Grid-enabled and SLA-aware Resource Management Systems}}}, year = {{2006}}, } @article{2405, author = {{Groppe, Sven and Böttcher, Stefan and Birkenheuer, Georg and Höing, André}}, journal = {{Data & Knowledge Engineering}}, number = {{1}}, pages = {{64--110}}, publisher = {{Elsevier}}, title = {{{Reformulating XPath queries and XSLT queries on XSLT views}}}, doi = {{10.1016/j.datak.2005.04.002}}, volume = {{57}}, year = {{2006}}, } @inproceedings{2406, author = {{Voss, Kerstin}}, booktitle = {{Proc. Int. Conf. on Networking and Services (ICNS)}}, isbn = {{0-7695-2622-5}}, pages = {{68}}, publisher = {{IEEE Computer Society}}, title = {{{Risk Aware Migrations for Prepossessing SLAs}}}, doi = {{10.1109/ICNS.2006.94}}, year = {{2006}}, } @inproceedings{2403, author = {{Hovestadt, Matthias and Kao, Odej and Voss, Kerstin}}, booktitle = {{Proc. Int. Conf. on Services Computing (SCC)}}, isbn = {{0-7695-2670-5}}, pages = {{36--43}}, publisher = {{IEEE Computer Society}}, title = {{{The First Step of Introducing Risk Management for Prepossessing SLAs}}}, doi = {{10.1109/SCC.2006.102}}, year = {{2006}}, } @inbook{1991, abstract = {{In this paper, we describe the architecture of the virtual resource manager VRM, a management system designed to reside on top of local resource management systems for cluster computers and other kinds of resources. The most important feature of the VRM is its capability to handle quality-of-service (QoS) guarantees and service-level agreements (SLAs). The particular emphasis of the paper is on the various opportunities to deal with local autonomy for resource management systems not supporting SLAs. As local administrators may not want to hand over complete control to the Grid management, it is necessary to define strategies that deal with this issue. Local autonomy should be retained as much as possible while providing reliability and QoS guarantees for Grid applications, e.g., specified as SLAs.}}, author = {{Burchard, Lars-Olof and Heine, Felix and Heiss, Hans-Ulrich and Hovestadt, Matthias and Kao, Odej and Keller, Axel and Linnert, Barry and Schneider, Jörg}}, booktitle = {{Future Generation Grids}}, editor = {{Getov, Vladimir and Laforenza, Domenico and Reinefeld, Alexander}}, pages = {{83--98}}, title = {{{The Virtual Resource Manager: Local Autonomy versus QoS Guarantees for Grid Applications}}}, doi = {{10.1007/978-0-387-29445-2_5}}, year = {{2006}}, } @inproceedings{2410, author = {{Birkenheuer, Georg and Djemame, Karim and Gourlay, Iain and Kao, Odej and Padgett, James and Voß, Kerstin}}, booktitle = {{Proc. WS-Agreement Workshop (Open Grid Forum 18)}}, title = {{{Using WS-Agreement for Risk Management in the Grid}}}, year = {{2006}}, } @inproceedings{1992, abstract = {{The next generation grid applications demand grid middleware for a flexible negotiation mechanism supporting various ways of quality-of-service (QoS) guarantees. In this context, a QoS guarantee covers simultaneous allocations of various kinds of different resources, such as processor runtime, storage capacity, or network bandwidth, which are specified in the form of service level agreements (SLA). Currently, a gap exists between the capabilities of grid middleware and the underlying resource management systems concerning their support for QoS and SLA negotiation. In this paper we present an approach which closes this gap. Introducing the architecture of the virtual resource manager, we highlight its main QoS management features like run-time responsibility, co-allocation, and fault tolerance.}}, author = {{Burchard, Lars-Olof and Heine, Felix and Hovestadt, Matthias and Kao, Odej and Keller, Axel and Linnert, Barry}}, booktitle = {{Proc. IEEE Int. Parallel & Distributed Processing Symposium (IPDPS)}}, pages = {{132a--132a}}, title = {{{A Quality-of-Service Architecture for Future Grid Computing Applications.}}}, doi = {{10.1109/IPDPS.2005.62}}, year = {{2005}}, } @inproceedings{2413, author = {{Lietsch, Stefan and Kao, Odej}}, booktitle = {{Proc. Intelligence in Communication Systems (INTELLCOMM)}}, pages = {{261--271}}, publisher = {{Springer}}, title = {{{CoLoS - A System for Device Unaware and Position Dependent Communication Based on the Session Initiation Protocol}}}, doi = {{10.1007/0-387-32015-6_24}}, volume = {{190}}, year = {{2005}}, } @inproceedings{2414, author = {{Birkenheuer, Georg and Hagelweide, Wilke and Hagemeier, Björn and Japs, Viktor and Keller, Matthias and Mayr, Nikolas and Meyer, Jan and Schumacher, Tobias and Voß, Kerstin and Zajac, Markus}}, booktitle = {{Proc. GI Informatiktage}}, pages = {{91--94}}, publisher = {{Gesellschaft für Informatik (GI)}}, title = {{{PIRANHA – Hunter of Idle Resources}}}, volume = {{2}}, year = {{2005}}, } @inbook{1990, abstract = {{Grid Computing promises an efficient sharing of world-wide distributed resources, ranging from hardware, software, expert knowledge to special I/O devices. However, although the main Grid mechanisms are already developed or are currently addressed by tremendous research effort, the Grid environment still suffers from a low acceptance in different user communities. Beside difficulties regarding an intuitive and comfortable resource access, various problems related to the reliability and the Quality-of-Service while using the Grid exist. Users should be able to rely, that their jobs will have certain priority at the remote Grid site and that they will be finished upon the agreed time regardless of any provider problems. Therefore, QoS issues have to be considered in the Grid middleware but also in the local resource management systems at the Grid sites. However, most of the currently used resource management systems are not suitable for SLAs, as they do not support resource reservation and do not offer mechanisms for job checkpointing/migration respectively. The latter are mandatory for Grid providers as rescue anchor in case of system failures or system overload. This paper focuses on SLA-aware job migration and presents a work, which is being performed in the EU supported project HPC4U.}}, author = {{Heine, Felix and Hovestadt, Matthias and Kao, Odej and Keller, Axel}}, booktitle = {{Grid Computing: New Frontiers of High Performance Computing}}, editor = {{Grandinetti, Lucio}}, pages = {{185--201}}, title = {{{SLA-aware Job Migration in Grid Environments}}}, doi = {{10.1016/S0927-5452(05)80011-5}}, volume = {{14}}, year = {{2005}}, } @inproceedings{1994, author = {{Burchard, Lars-Olof and Heiss, Hans-Ulrich and Hovestadt, Matthias and Kao, Odej and Keller, Axel and Linnert, Barry}}, booktitle = {{Proceedings of the GI-Meeting on Operating Systems}}, title = {{{An Architecture for SLA-aware Resource Management}}}, year = {{2004}}, } @inproceedings{2416, author = {{Groppe, Sven and Böttcher, Stefan and Birkenheuer, Georg}}, booktitle = {{Proc. Int. Conf. on Enterprise Information Systems (ICEIS)}}, pages = {{241--250}}, title = {{{Efficient Querying of Transformed XML Documents}}}, year = {{2004}}, } @inproceedings{1993, author = {{Kao, Odej and Hovestadt, Matthias and Keller, Axel}}, booktitle = {{Proc. Advanced Research Workshop on High Perfomance Computing: Technology and Applications}}, title = {{{SLA-aware Job Migration in Grid Environments}}}, year = {{2004}}, } @inproceedings{2417, author = {{Groppe, Sven and Böttcher, Stefan and Heckel, Reiko and Birkenheuer, Georg}}, booktitle = {{Proc. East-European Conf. on Advances in Databases and Information Systems (ADBIS)}}, title = {{{Using XSLT Stylesheets to Transform XPath Queries}}}, year = {{2004}}, } @inproceedings{1995, abstract = {{The next generation Grid will demand the Grid middleware to provide flexibility, transparency, and reliability. This implies the appliance of service level agreements to guarantee a negotiated level of quality of service. These requirements also affect the local resource management systems providing resources for the Grid. At this a gap between these demands and the features of today's resource management systems becomes apparent. In this paper we present an approach which closes this gap. Introducing the architecture of the virtual resource manager we highlight its main features of runtime responsibility, resource virtualization, information hiding, autonomy provision, and smooth integration of existing resource management system installations.}}, author = {{Burchard, Lars-Olof and Hovestadt, Matthias and Kao, Odej and Keller, Axel and Linnert, Barry}}, booktitle = {{Proc. Int. Symposium on Cluster Computing and the Grid (CCGRID)}}, title = {{{Virtual Resource Manager: An Architecture for SLA-aware Resource Management}}}, doi = {{10.1109/CCGrid.2004.1336558}}, year = {{2004}}, } @inproceedings{1998, abstract = {{Nearly all existing HPC systems are operated by resource management systems based on the queuing approach. With the increasing acceptance of grid middleware like Globus, new requirements for the underlying local resource management systems arise. Features like advanced reservation or quality of service are needed to implement high level functions like co-allocation. However it is difficult to realize these features with a resource management system based on the queuing concept since it considers only the present resource usage. In this paper we present an approach which closes this gap. By assigning start times to each resource request, a complete schedule is planned. Advanced reservations are now easily possible. Based on this planning approach functions like diffuse requests, automatic duration extension, or service level agreements are described. We think they are useful to increase the usability, acceptance and performance of HPC machines. In the second part of this paper we present a planning based resource management system which already covers some of the mentioned features.}}, author = {{Hovestadt, Matthias and Kao, Odej and Keller, Axel and Streit, Achim}}, booktitle = {{Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP)}}, keywords = {{High Performance Computing, Service Level Agreement, Grid Resource, Resource Management System, Advance Reservation}}, pages = {{1--20}}, title = {{{Scheduling in HPC Resource Management Systems: Queuing vs. Planning}}}, doi = {{10.1007/10968987_1}}, volume = {{2862}}, year = {{2003}}, } @inproceedings{2426, author = {{P. Miller, Barton and Labarta, Jesús and Schintke, Florian and Simon, Jens}}, booktitle = {{Proc. European Conf. on Parallel Processing (Euro-Par)}}, isbn = {{978-3-540-45706-0}}, pages = {{131}}, publisher = {{Springer}}, title = {{{Performance Evaluation, Analysis and Optimization}}}, doi = {{10.1007/3-540-45706-2_15}}, volume = {{2400}}, year = {{2002}}, } @inproceedings{2431, author = {{Schintke, Florian and Simon, Jens and Reinefeld, Alexander}}, booktitle = {{Proc. Int. Conf. on Computational Science (ICCS)}}, pages = {{569--578}}, publisher = {{Springer}}, title = {{{A Cache Simulator for Shared Memory Systems}}}, doi = {{10.1007/3-540-45718-6_62}}, volume = {{2074}}, year = {{2001}}, } @article{1999, abstract = {{Workstation clusters are often not only used for high-throughput computing in time-sharing mode but also for running complex parallel jobs in space-sharing mode. This poses several difficulties to the resource management system, which must be able to reserve computing resources for exclusive use and also to determine an optimal process mapping for a given system topology. On the basis of our CCS software, we describe the anatomy of a modern resource management system. Like Codine, Condor, and LSF, CCS provides mechanisms for the user-friendly system access and management of clusters. But unlike them, CCS is targeted at the effective support of space-sharing parallel computers and even metacomputers. Among other features, CCS provides a versatile resource description facility, topology-based process mapping, pluggable schedulers, and hooks to metacomputer management.}}, author = {{Keller, Axel and Reinefeld, Alexander}}, journal = {{Annual Review of Scalable Computing}}, pages = {{1--31}}, title = {{{Anatomy of a Resource Management System for HPC Clusters}}}, doi = {{10.1142/9789812810182_0001}}, volume = {{3}}, year = {{2001}}, } @inproceedings{2000, abstract = {{The Testbed and Applications working group of the European Grid Forum (EGrid) is actively building and experimenting with a grid infrastructure connecting several research-based supercomputing sites located in Europe. The paper reports on our first feasibility study: running a self-migrating version of the Cactus simulation code across the European grid testbed, including "live" remote data visualization and steering from different demonstration booths at Supercomputing 2000, in Dallas, TX. We report on the problems that had to be resolved for this endeavour and identify open research challenges for building production-grade grid environments.}}, author = {{Gehring, Jörn and Keller, Axel and Reinefeld, Alexander and Streit, Achim}}, booktitle = {{Proc. Int. Symposium on Cluster Computing and the Grid (CCGRID)}}, pages = {{130--137}}, title = {{{Early Experiences with the EGrid Testbed}}}, doi = {{10.1109/CCGRID.2001.923185}}, year = {{2001}}, } @techreport{2427, author = {{Hungershöfer, Jan and Streit, Achim and Wierum, Jens-Michael}}, publisher = {{Paderborn Center for Parallel Computing}}, title = {{{Efficient Resource Management for Malleable Applications}}}, year = {{2001}}, } @inproceedings{2002, abstract = {{The availability of commodity high performance components for workstations and networks made it possible to build up large, PC based compute clusters at modest costs. These clusters seem to be a realistic alternative to proprietary, massively parallel systems with respect to the price/performance ratio. However, from the administration point of view, those systems are still often solely a collection of autonomous nodes, connected by a fast short area network. Therefore, aiming at providing the best possible performance in daily work to all users, a lot of work has to be done before obtaining the expected result. The paper describes the problem areas we had to cope with during the integration of two large SCI clusters (one with 64 and one with 192 processors) in the environment of the Paderborn Center for Parallel Computing.}}, author = {{Keller, Axel and Krawinkel, Andreas}}, booktitle = {{Proc. Int. Symposium on Cluster Computing and the Grid (CCGRID)}}, pages = {{303--310}}, title = {{{Lessons Learned While Operating Two Large SCI Clusters}}}, doi = {{10.1109/CCGRID.2001.923207}}, year = {{2001}}, } @inproceedings{2003, abstract = {{RsdEditor is a graphical user interface which produces specifications of computational resources. It is used in the RSD (Resource and Service Description) environment for specifying, registering, requesting and accessing resources and services in a metacomputer. RsdEditor was designed to be used by the administrators and users of metacomputing environments. At the administrator level, the GUI is used to describe the available computing and networking components of a metacomputer. At the user level, RsdEditor can be used to specify which characteristics of the computational resources are needed to execute a meta-application. This paper is organized as follows: it first introduces RsdEditor. It then briefly describes the RSD environment, and finally, it highlights various features and implementation issues of RsdEditor.}}, author = {{Baraglia, Ranieri and Keller, Axel and Laforenza, Domenico and Reinefeld, Alexander}}, booktitle = {{Proc. Heterogenous Computing Workshop HCW at IPDPS}}, pages = {{336--348}}, title = {{{RsdEditor: A Graphical User Interface for Specifying Metacomputer Components}}}, doi = {{10.1109/HCW.2000.843756}}, year = {{2000}}, } @phdthesis{2434, author = {{Simon, Jens}}, isbn = {{3-934445-03-9}}, pages = {{255}}, publisher = {{Dr. Dirk Blunk Verlag}}, title = {{{Werkzeugunterstützte effiziente Nutzung von Hochleistungsrechnern}}}, year = {{2000}}, } @inproceedings{2436, author = {{Brune, Matthias and Reinefeld, Alexander and Varnholt, Jörg}}, booktitle = {{Proc. Int. Symp. High-Performance Distributed Computing (HPDC)}}, publisher = {{IEEE Computer Society}}, title = {{{A Resource Description Environment for Distributed Computing Systems}}}, year = {{1999}}, } @inbook{2435, author = {{Simon, Jens and Reinefeld, Alexander and Heinz, Oliver}}, booktitle = {{SCI: Scalable Coherent Interface. Architecture and Software for High-Performance Compute Clusters}}, editor = {{Hellwagner, Hermann and Reinefeld, Alexander}}, isbn = {{978-3-540-47048-9}}, issn = {{0302-9743}}, pages = {{367--381}}, publisher = {{Springer}}, title = {{{Large-Scale SCI Clusters in Practice: Architecture and Performance in SCI}}}, doi = {{10.1007/10704208}}, volume = {{1734}}, year = {{1999}}, } @article{2007, abstract = {{We present a software system for the management of geographically distributed high‐performance computers. It consists of three components: 1. The Computing Center Software (CCS) is a vendor‐independent resource management software for local HPC systems. It controls the mapping and scheduling of interactive and batch jobs on massively parallel systems; 2. The Resource and Service Description (RSD) is used by CCS for specifying and mapping hardware and software components of (meta‐)computing environments. It has a graphical user interface, a textual representation and an object‐oriented API; 3. The Service Coordination Layer (SCL) co‐ordinates the co‐operative use of resources in autonomous computing sites. It negotiates between the applications' requirements and the available system services. }}, author = {{Brune, Matthias and Gehring, Jörn and Keller, Axel and Reinefeld, Alexander}}, journal = {{Concurrency, Practice, and Experience}}, pages = {{887--911}}, title = {{{Managing Clusters of Geographically Distributed High-Performance Computers}}}, doi = {{10.1002/(SICI)1096-9128(19991225)11:15<887::AID-CPE459>3.0.CO;2-J}}, volume = {{II(15)}}, year = {{1999}}, } @inbook{2008, abstract = {{The growing maturity of hardware and software components has tempted researchers to build very large SCI clusters with several hundred processors that are operated as high-performance compute servers in multi-user mode. In this chapter, we present a resource management software for the user access and system administration of high-performance compute clusters named Computing Center Software (CCS). It is in day-to-day use since 1992 on various parallel systems and has recently been adapted to the management of SCI clusters. CCS provides pluggable schedulers, optimal space partitioning for multiple users, reliable user access, and powerful tools for specifying resources and services by means of a specification language and a graphical user interface. After a brief introduction in the remainder of this section, we describe the CCS system architecture and the characteristics of its resource description facilities.}}, author = {{Brune, Matthias and Keller, Axel and Reinefeld, Alexander}}, booktitle = {{SCI - Scalable Coherent Interface: Architecture and Software for High Performance Compute Clusters}}, editor = {{Hellwagner, Hermann and Reinefeld, Alexander}}, pages = {{443--460}}, title = {{{Multi-User System Management on SCI Cluster}}}, doi = {{10.1007/10704208_34}}, year = {{1999}}, } @inproceedings{2004, abstract = {{With the recent availability of cost-effective network cards for the PCI bus, researchers have been tempted to build up large compute clusters with standard PCs. Many of them are operated with workstation cluster management software in high-throughput or single user mode. For very large clusters with more than 100 PEs, however, it becomes necessary to implement a full fledged resource management software that allows to partition the system for multi-user access. In this paper, we present our Computing Center Software (CCS), which was originally designed for managing massively parallel high-performance computers, and now adapted to modern workstation clusters. It provides - partitioning of exclusive and non-exclusive resources, - hardware-independent scheduling of interactive and batch jobs, - open, extensible interfaces to other resource management systems, - a high degree of reliability.}}, author = {{Brune, Matthias and Keller, Axel and Reinefeld, Alexander}}, booktitle = {{Proc. Int. Conf. on High-Performance Computing and Networking (HPCN)}}, pages = {{270--280}}, title = {{{Resource Management for High-Performance PC Clusters}}}, doi = {{10.1007/BFb0100588}}, year = {{1999}}, } @inbook{2005, abstract = {{With a steadily increasing number of services, metacomputing is now gaining importance in science and industry. Virtual organizations, autonomous agents, mobile computing services, and high-performance client–server applications are among the many examples of metacomputing services. For all of them, resource description plays a major role in organizing access, use, and administration of the computing components and software services. We present a generic Resource and Service Description (RSD) for specifying the hardware and software components of (meta-) computing environments. Its graphical interface allows metacomputer users to specify their resource requests. Its textual counterpart gives service providers the necessary flexibility to specify topology and properties of the available system and software resources. Finally, its internal object-oriented representation is used to link different resource management systems and service tools. With these three representations, our generic RSD approach is a key component for building metacomputer environments.}}, author = {{Brune, Matthias and Gehring, Jörn and Keller, Axel and Reinefeld, Alexander}}, booktitle = {{High-Performance Cluster Computing: Architecture and Systems}}, editor = {{Buya, R.}}, pages = {{186--200}}, title = {{{Specifying Resources and Services in Metacomputing Systems}}}, doi = {{10.1016/S0167-8191(98)00076-3}}, year = {{1999}}, } @inproceedings{2011, abstract = {{CCS is a resource management system for parallel high-performance computers. At the user level, CCS provides vendor-independent access to parallel systems. At the system administrator level, CCS offers tools for controlling (i.e, specifying, configuring and scheduling) the system components that are operated in a computing center. Hence the name "Computing Center Software". CCS provides: hardware-independent scheduling of interactive and batch jobs; partitioning of exclusive and non-exclusive resources; open, extensible interfaces to other resource management systems; a high degree of reliability (e.g. automatic restart of crashed daemons); fault tolerance in the case of network breakdowns. The authors describe CCS as one important component for the access, job distribution, and administration of networked HPC systems in a metacomputing environment.}}, author = {{Keller, Axel and Reinefeld, Alexander}}, booktitle = {{Proc. Heterogenous Computing Workshop (HCW) at IPPS}}, pages = {{44--56}}, title = {{{CCS Resource Management in Networked HPC Systems}}}, doi = {{10.1109/HCW.1998.666544}}, year = {{1998}}, } @inproceedings{2009, abstract = {{RSD (Resource and Service Description) is a scheme for specifying resources and services in complex heterogeneous computing systems and metacomputing environments. At the system administrator level, RSD is used to specify the available system components, such as the number of nodes, their interconnection topology, CPU speeds, and available software packages. At the user level, a GUI provides a comfortable, high-level interface for specifying system requests. A textual editor can be used for defining repetitive and recursive structures. This gives service providers the necessary flexibility for fine-grained specification of system topologies, interconnection networks, system and software dependent properties. All these representations are mapped onto a single, coherent internal object-oriented resource representation. Dynamic aspects (like network performance, availability of compute nodes, and compute node loads) are traced at runtime and included in the resource description to allow for optimal process mapping and dynamic task load balancing at runtime at the metacomputer level. This is done in a self-organizing way, with human system operators becoming only involved when new hardware/software components are installed.}}, author = {{Brune, Matthias and Gehring, Jörn and Keller, Axel and Reinefeld, Alexander}}, booktitle = {{Proc. Int. Conf. on High-Performance Computing Systems (HPCS)}}, title = {{{RSD - Resource and Service Description}}}, doi = {{10.1007/978-1-4615-5611-4_18}}, year = {{1998}}, } @article{2012, abstract = {{With a steadily increasing number of services, metacomputing is now gaining importance in science and industry. Virtual organizations, autonomous agents, mobile computing services, and high-performance client–server applications are among the many examples of metacomputing services. For all of them, resource description plays a major role in organizing access, use, and administration of the computing components and software services. We present a generic Resource and Service Description (RSD) for specifying the hardware and software components of (meta-) computing environments. Its graphical interface allows metacomputer users to specify their resource requests. Its textual counterpart gives service providers the necessary flexibility to specify topology and properties of the available system and software resources. Finally, its internal object-oriented representation is used to link different resource management systems and service tools. With these three representations, our generic RSD approach is a key component for building metacomputer environments.}}, author = {{Brune, Matthias and Gehring, Jörn and Keller, Axel and Monien, Burkhard}}, journal = {{Parallel Computing}}, pages = {{1751--1776}}, publisher = {{Elsevier}}, title = {{{Specifying Resources and Services in Metacomputing Environments}}}, doi = {{10.1016/S0167-8191(98)00076-3}}, volume = {{24}}, year = {{1998}}, } @article{2437, author = {{Simon, Jens and Wierum, Jens-Michael}}, issn = {{0020-0190}}, journal = {{Information Processing Letters - Special Issue on Models of Computation}}, number = {{5}}, pages = {{255--261}}, publisher = {{Elsevier}}, title = {{{The Latency-of-Data-Access model for Analyzing Parallel Computation}}}, doi = {{10.1016/S0020-0190(98)00062-3}}, volume = {{66}}, year = {{1998}}, } @inproceedings{2013, author = {{Brune, Matthias and Hellmann, Christian and Keller, Axel}}, booktitle = {{Proc. Workshop Hypercomputing at ITG/GI-Conference Architekur von Rechensystemen}}, title = {{{A Closer Step towards Management of Metacomputing-Resources}}}, year = {{1997}}, } @inproceedings{2441, author = {{Fischer, Markus and Simon, Jens}}, booktitle = {{Proc. European Parallel Virtual Machine / Message Passing Interface Users’ Group Meeting (EuroPVM/MPI)}}, pages = {{175--184}}, publisher = {{Springer}}, title = {{{Embedding SCI into PVM}}}, doi = {{10.1007/3-540-63697-8_84}}, volume = {{1332}}, year = {{1997}}, } @inproceedings{2439, author = {{Heinz, Oliver and Simon, Jens}}, booktitle = {{Proc. Int. Conf. on Architecture of Computing Systems (ARCS)}}, publisher = {{VDE Verlag}}, title = {{{Experiences with a SCI Multiprocessor Workstation Cluster}}}, year = {{1997}}, } @inproceedings{2440, author = {{Simon, Jens and Heinz, Oliver}}, booktitle = {{Proc. Workshops im Rahmen der 14. ITG/GI-Fachtagung Architektur von Rechensystemen}}, pages = {{189--199}}, title = {{{SCI multiprocessor PC cluster in a WindowsNT environment}}}, year = {{1997}}, } @inproceedings{2442, author = {{Reinefeld, Alexander and Baraglia, Ranieri and Decker, Thomas and Gehring, Jörn and Laforenza, Domenico and Ramme, Friedhelm and Römke, Thomas and Simon, Jens}}, booktitle = {{Proc. Heterogenous Computing Workshop (HCW)}}, pages = {{17--31}}, publisher = {{IEEE Computer Society}}, title = {{{The MOL Project: An Open, Extensible Metacomputer}}}, doi = {{10.1109/HCW.1997.581407}}, year = {{1997}}, } @inproceedings{2438, author = {{Simon, Jens and Weicker, Reinhold and Vieth, Marco}}, booktitle = {{Proc. European Conf. on Parallel Processing (Euro-Par)}}, isbn = {{978-3-540-69549-3}}, pages = {{971--984}}, publisher = {{Springer}}, title = {{{Workload Analysis of Computation Intensive Tasks: Case Study on SPEC CPU95 Benchmarks}}}, doi = {{10.1007/BFb0002841}}, volume = {{1300}}, year = {{1997}}, } @inproceedings{2445, author = {{Simon, Jens and Wierum, Jens-Michael}}, booktitle = {{Proc. European Conf. on Parallel Processing (Euro-Par)}}, pages = {{675--688}}, publisher = {{Springer}}, title = {{{Accurate Performance Prediction for Massively Parallel Systems and its Applications}}}, doi = {{10.1007/BFb0024764}}, volume = {{1124}}, year = {{1996}}, } @techreport{2446, author = {{Simon, Jens and Wierum, Jens-Michael}}, publisher = {{Paderborn Center for Parallel Computing}}, title = {{{On Accurate Performance Prediction for Massively Parallel Systems and its Applications}}}, year = {{1996}}, } @inproceedings{2444, author = {{Simon, Jens and Wierum, Jens-Michael}}, booktitle = {{Proc. Annual Int. Conf. on High-Performance Computers (HPCS)}}, title = {{{Performance Prediction of Benchmark Programs for Massively Parallel Architectures}}}, year = {{1996}}, } @inproceedings{2443, author = {{Simon, Jens and Wierum, Jens-Michael}}, booktitle = {{Proc. Int. Conf. on High-Performance Computing and Networking (HPCN-Europe)}}, isbn = {{978-3-540-61142-4}}, pages = {{627--632}}, publisher = {{Springer}}, title = {{{Sequential Performance versus Scalability: Optimizing Parallel LU-Decomposition}}}, doi = {{10.1007/3-540-61142-8_606}}, volume = {{1067}}, year = {{1996}}, } @inproceedings{2448, author = {{Römke, Thomas and Röttger, Markus and Schroeder, Ulf-Peter and Simon, Jens}}, booktitle = {{Proc. ZEUS Workshop on Par. Programming and Computation}}, publisher = {{IOS Press}}, title = {{{An Efficient Mapping Library for Parix}}}, year = {{1995}}, } @inproceedings{2447, author = {{Röttger, Markus and Schroeder, Ulf-Peter and Simon, Jens}}, booktitle = {{Proc. Int. Conf. on High-Performance Computing and Networking}}, pages = {{781--786}}, publisher = {{Springer}}, title = {{{Implementation of a Parallel and Distributed Mapping Kernel for PARIX}}}, doi = {{10.1007/BFb0046714}}, volume = {{919}}, year = {{1995}}, } @inproceedings{2449, author = {{Römke, Thomas and Röttger, Markus and Schroeder, Ulf-Peter and Simon, Jens}}, booktitle = {{Proc. European Conf. on Parallel Processing (Euro-Par)}}, isbn = {{978-3-540-44769-6}}, pages = {{179--192}}, publisher = {{Springer}}, title = {{{On Efficient Embeddings of Grids into Grids in PARIX}}}, doi = {{10.1007/BFb0020464}}, volume = {{966}}, year = {{1995}}, } @inbook{2451, author = {{Blazy, Stephan and Dralle, Uwe and Simon, Jens}}, booktitle = {{PowerXplorer User Report - Applications and Projects on the Parsytec PowerXplorer Parallel Computer}}, publisher = {{Heinrich-Heine-Universität}}, title = {{{Parallel CG Poisson Solver for PowerPC 601}}}, year = {{1995}}, }