The Experts below are selected from a list of 31206 Experts worldwide ranked by ideXlab platform

Peter Marwedel - One of the best experts on this subject based on the ideXlab platform.

  • data partitioning for maximal scratchpad usage
    Asia and South Pacific Design Automation Conference, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

  • ASP-DAC - Data partitioning for maximal scratchpad usage
    Proceedings of the 2003 conference on Asia South Pacific design automation - ASPDAC, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

Manish Verma - One of the best experts on this subject based on the ideXlab platform.

  • data partitioning for maximal scratchpad usage
    Asia and South Pacific Design Automation Conference, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

  • ASP-DAC - Data partitioning for maximal scratchpad usage
    Proceedings of the 2003 conference on Asia South Pacific design automation - ASPDAC, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

Stefan Steinke - One of the best experts on this subject based on the ideXlab platform.

  • data partitioning for maximal scratchpad usage
    Asia and South Pacific Design Automation Conference, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

  • ASP-DAC - Data partitioning for maximal scratchpad usage
    Proceedings of the 2003 conference on Asia South Pacific design automation - ASPDAC, 2003
    Co-Authors: Manish Verma, Stefan Steinke, Peter Marwedel
    Abstract:

    The energy consumption for mobile embedded systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an Array Variable whenever its beneficial, appropriately modifies the application and selects the best set of Variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.

Wang Hong-hua - One of the best experts on this subject based on the ideXlab platform.

  • Variable Structure Fuzzy Control Applied in Maximum Power Point Tracking of Photovoltaic Power Generation
    IEEE Transactions on Power Electronics, 2010
    Co-Authors: Wang Hong-hua
    Abstract:

    The Advantages and disadvantages about the maximum power point tracking(MPPT) methods in photovoltaic generation system are discussed.The Power-voltage curve of photovoltaic Array is analyzed.According to power-voltage characteristics of photovoltaic Array,Variable structure fuzzy control method is introduced for MPPT of photovoltaic genera-tion system.The system can track the maximum power point(MPP) of photovoltaic cell rapidly by using Variable structure fuzzy control when the environment changes quickly.The experimental results in two kinds of weather conditions verify the proposed method can track the changes external environment,and the photovoltaic system can run in MPP with good dy-namic and static performances.

Kijong Cho - One of the best experts on this subject based on the ideXlab platform.

  • Integration of an individual-oriented model into a system dynamics model: An application to a multi-species system
    Environmental Modelling & Software, 2019
    Co-Authors: Yongeun Kim, Jino Son, Yun Sik Lee, Minyoung Lee, Jinsol Hong, Kijong Cho
    Abstract:

    Abstract Although the system dynamics (SD) modeling approach has been used frequently to model various systems, there is little research on the development of hybrid SD–individual-oriented (IO) modeling. The aim of this study is to demonstrate the use of an Array Variable for the hybrid SD–IO modeling approach using the SD platform, and to provide a detailed modeling process of an algae–daphnid system consisting of two freshwater algal species and Daphnia. Our study showed that the Array Variable in the SD approach is useful for modeling multiple individuals and as a function to control the switch and integration Variable for the hybrid modeling approach. The proposed method can improve the usability of hybrid modeling by enabling hybrid SD–IO modeling without requiring extensive knowledge of programming. Given the ongoing development and advancement of the SD modeling approach, this modeling technique will be a useful method to study complex systems.