The Experts below are selected from a list of 39 Experts worldwide ranked by ideXlab platform
Wolfgang Karl - One of the best experts on this subject based on the ideXlab platform.
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self aware memory managing distributed memory in an autonomous multi Master Environment
Automation Robotics and Control Systems, 2008Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
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ARCS - Self-aware memory: managing distributed memory in an autonomous multi-Master Environment
Architecture of Computing Systems – ARCS 2008, 1Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
Rainer Buchty - One of the best experts on this subject based on the ideXlab platform.
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self aware memory managing distributed memory in an autonomous multi Master Environment
Automation Robotics and Control Systems, 2008Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
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ARCS - Self-aware memory: managing distributed memory in an autonomous multi-Master Environment
Architecture of Computing Systems – ARCS 2008, 1Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
Oliver Mattes - One of the best experts on this subject based on the ideXlab platform.
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self aware memory managing distributed memory in an autonomous multi Master Environment
Automation Robotics and Control Systems, 2008Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
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ARCS - Self-aware memory: managing distributed memory in an autonomous multi-Master Environment
Architecture of Computing Systems – ARCS 2008, 1Co-Authors: Rainer Buchty, Oliver Mattes, Wolfgang KarlAbstract:A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multiMaster systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
Lone Dirckinck-holmfeld - One of the best experts on this subject based on the ideXlab platform.
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Design of a Networked Learning Master Environment for Professionals: using the approach of problem based learning to establish a community of practice
2010Co-Authors: Lone Dirckinck-holmfeldAbstract:The paper is presenting the overall learning design of MIL (Master in ICT and Learning). The learning design is integrating the principles of: 1. Problem and project based learning 2. Networked learning / learning in communities of practice. The paper discusses how these principles interact productively in the design of a networked learning Environment for professionals. The paper challenge the definition of networked learning focussing on connections. This definition has been important to throw light upon the importance of weak ties, and how much weak ties are used within networks. However in order to really use the potentials of the socio cultural understanding of learning as based in relationships and connections we need a stronger concept of networked learning as a socio-technical way of organising learning, which make learners interact, connect, engage, relate and collaborate on joint enterprises and activities, through both strong and weak ties, and to dynamically accumulate and rework concepts, artefacts and knowledge in a variety of forms and from a variety of sources. The MIL case based on problem and project based learning demonstrates how this understandings of networked learning can be organised for. MIL is based on a pragmatic concept of problem and project based learning adapted to the virtual conditions of networked learning. The MIL model incorporates a series of integrated didactical principles: problem formulation, enquiry of exemplary problems, participant control, joint projects, dialogues, interdisciplinary approaches, and action learning. The approach requires that students and teachers (facilitators, supervisors, lecturers, and professors) engage in a shared enterprise – a project within the thematic framework of the semester. The study program is organised around two main activities: 1. course work in order to get insights of the core disciplines and to build up a shared repertoire and 2. project work, where the students engage in collaborative research projects – as a kind of shared enterprise. From a learning point of view the pedagogical principles of PBL facilitates as well the individual learner’s constructions of knowledge as well as the project group’s construction of shared understanding through negotiations, confrontations and identification. Further more previous research has shown, that PBL facilitates inter-dependencies among the busy professionals, which help them to prioritize the study of work and also to establish kinds of community of practice.
Uwe Brinkschulte - One of the best experts on this subject based on the ideXlab platform.
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Architecture of computing systems--ARCS 2008 : 21st international conference, Dresden, Germany, February 25-28, 2008 : proceedings
2008Co-Authors: Uwe BrinkschulteAbstract:Invited Program.- Keynote: Grand Challenges of Computer Engineering.- Keynote: The Impact of Operating Systems on Modern CPU Designs (and Vice Versa).- I Hardware Design.- System Level Simulation of Autonomic SoCs with TAPES.- Topology-Aware Replica Placement in Fault-Tolerant Embedded Networks.- Design of Gate Array Circuits Using Evolutionary Algorithms.- II Pervasive Computing.- Direct Backtracking: An Advanced Adaptation Algorithm for Pervasive Applications.- Intelligent Vehicle Handling: Steering and Body Postures While Cornering.- III Network Processors and Memory Management.- A Hardware Packet Re-Sequencer Unit for Network Processors.- Self-aware Memory: Managing Distributed Memory in an Autonomous Multi-Master Environment.- IV Reconfigurable Hardware.- Dynamic Reconfiguration of FlexRay Schedules for Response Time Reduction in Asynchronous Fault-Tolerant Networks.- Synthesis of Multi-dimensional High-Speed FIFOs for Out-of-Order Communication.- A Novel Routing Architecture for Field-Programmable Gate-Arrays.- V Real-Time Architectures.- A Predictable Simultaneous Multithreading Scheme for Hard Real-Time.- Soft Real-Time Scheduling on SMT Processors with Explicit Resource Allocation.- A Hardware/Software Codesign of a Co-processor for Real-Time Hyperelliptic Curve Cryptography on a Spartan3 FPGA.- VI Organic Computing.- A Reference Architecture for Self-organizing Service-Oriented Computing.- Towards Self-organising Smart Camera Systems.- Using Organic Computing to Control Bunching Effects.- VII Computer Architecture.- A Generic Network Interface Architecture for a Networked Processor Array (NePA).- Constructing Optimal XOR-Functions to Minimize Cache Conflict Misses.- Potentials of Branch Predictors: From Entropy Viewpoints.