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Showing 1 to 20 of 26 for “"Load Imbalance"”.

  1. Adaptive load balancing for HPC applications

    … affect the performance of many applications is load imbalance. Applications are increasingly becoming sophisticated and are using irregular structures and adaptive refinement techniques, resulting in load imbalance. Moreover, systems are becoming more complex. The number of cores per node is …

    uiuc Repository record for Adaptive load balancing for HPC applications (opens in a new tab)

  2. Efficient hardware and software assist for many-core performance

    … to address three important scalability limiters: load imbalance, barrier latency and increasing on-chip packet latency. First, I introduce a debugging framework for load imbalance called LIME. The LIME framework uses profiling, statistical analysis and control flow graph analysis to automatically …

    gatech Repository record for Efficient hardware and software assist for many-core performance (opens in a new tab)

  3. Mitigating the Cost, Performance, and Power Overheads Induced by Load Variations in Multicore Cloud Servers

    <p>Load variations whether in space or time pose a significant challenge to system designers. These load variations may induce inefficiencies such as load imbalance and over-provisioning, resulting in performance/power/cost overheads. The goal of my research is to mitigate such variation-induced …

    purdue-thes Repository record for Mitigating the Cost, Performance, and Power Overheads Induced by Load Variations in Multicore Cloud Servers (opens in a new tab)

  4. The automatic implementation of a dynamic load balancing strategy within structured mesh codes generated using a parallelisation tool

    … that the automatic implementation of a dynamic load balancing (DLB) strategy within a parallel SPMD (single program multiple data) structured mesh application code is possible. It details how DLB can be effectively employed to reduce the level of load imbalance in a parallel system without …

    greenwich Repository record for The automatic implementation of a dynamic load balancing strategy within structured mesh codes generated using a parallelisation tool (opens in a new tab)

  5. Smart charging strategies for electric vehicle charging stations

    … charging strategies. For example, the charging load distribution in an EV charging network would be expected to be skewed towards stations located in hotspot areas, instigating longer queues and waiting times in these areas, particularly during afternoon peak traffic hours. This can also lead to …

    edithcowan Repository record for Smart charging strategies for electric vehicle charging stations (opens in a new tab)

  6. The GraphGrind Framework: Fast Graph Analytics on Large Shared-Memory Systems

    … systems. However, performance is limited by load imbalance and poor memory locality, which originate in the irregular structure of small-world graphs.<br/>This dissertation demonstrates how graph partitioning can be used to optimise (i) load balance, (ii) Non-Uniform Memory Access (NUMA) …

    qu-belfast Repository record for The GraphGrind Framework: Fast Graph Analytics on Large Shared-Memory Systems (opens in a new tab)

  7. Domain decomposition for Monte Carlo particle transport simulations of nuclear reactors

    … to more accurately predict the network and load imbalance penalties that arise from communicating particles between distributed compute nodes tracking different spatial domains. These were evaluated using machine properties and tallied particle movement characteristics, and empirically …

    mit Repository record for Domain decomposition for Monte Carlo particle transport simulations of nuclear reactors (opens in a new tab)

  8. Reducing synchronization in distributed parallel programs

    … critical path delay, suboptimal scheduling, load imbalance, and system noise. These challenges are often defined and measured relative to points of broad synchronization in the program’s execution. Given the way in which many algorithms are defined and systems are implemented, gauging the …

    uiuc Repository record for Reducing synchronization in distributed parallel programs (opens in a new tab)

  9. Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems

    … high performance computing (HPC) centers exhibit load imbalance and resource contention. This is mainly due to two factors: the bursty nature of the I/O of scientific applications; and the complex and distributed I/O path without centralized arbitration and control. For example, the extant Lustre …

    vt Repository record for Towards Data-Driven I/O Load Balancing in Extreme-Scale Storage Systems (opens in a new tab)

  10. Designing Hardware Accelerators for Solving Sparse Linear Systems

    … tight dependences, and sparsity-induced load imbalance. This thesis studies the problem of designing hardware accelerators for sparse linear solvers. We propose three novel architectures that explore different parts of the design space. The accelerators exploit static sparsity as the …

    mit Repository record for Designing Hardware Accelerators for Solving Sparse Linear Systems (opens in a new tab)

  11. Techniques to maximize memory bandwidth on the Rigel compute accelerator

    … serialization of conditional execution paths and load imbalance from varying task lengths. These benefits to the execution hardware come at a cost of reduced memory bandwidth, however, as it is difficult or impossible to orchestrate the memory requests in a way that achieves perfect access …

    uiuc Repository record for Techniques to maximize memory bandwidth on the Rigel compute accelerator (opens in a new tab)

  12. Acceleration of the discrete element method on a reconfigurable co-processor

    … others, then there will be inefficiencies due to load imbalance between the processors. As a result of these effects, the speed-up achieved by running the DEM on parallel processor computers is far less than linear. This thesis describes work on the acceleration of the DEM using reconfigurable …

    birmingham Repository record for Acceleration of the discrete element method on a reconfigurable co-processor (opens in a new tab)

  13. Scalable Data Management for Object-based Storage Systems

    … management arise from poor resource allocation, load imbalance in object storage targets, and inflexible data sharing between applications in a workflow. In addition, parallel I/O makes it challenging to shoehorn new interfaces, such as taking advantage of multiple layers of storage and support …

    vt Repository record for Scalable Data Management for Object-based Storage Systems (opens in a new tab)

  14. Meta-Balancer: automated load balancing based on application behavior

    … processing power, and scale to large systems. Load imbalance, both computationally and communication induced, presents itself as one of the important challenges in achieving scalability and high performance. Problem sizes and system sizes have become so large that manually handling the …

    uiuc Repository record for Meta-Balancer: automated load balancing based on application behavior (opens in a new tab)

  15. Multi-objective optimisation of the generalized bin packing problem

    … may be competing such as item due dates and load balancing objectives. Classical methods for solving such problems involve combining the objectives into a single objective or converting some of the objectives into constraints with associated goals. Both approaches require one to have prior …

    cape-town Repository record for Multi-objective optimisation of the generalized bin packing problem (opens in a new tab)

  16. Control Strategies for High Power Four-Leg Voltage Source Inverters

    … power systems. In particular, specific loading conditions present interesting challenges to inverter-fed, high power systems. No-load, unbalanced loading, and non-linear loading each have unique characteristics that negatively influence the performance of the Voltage Source Inverter …

    vt Repository record for Control Strategies for High Power Four-Leg Voltage Source Inverters (opens in a new tab)

  17. Load balancing using cell range expansion in LTE advanced heterogeneous networks

    … offer solutions for efficient use of spectrum, load balancing and improvement of cell edge coverage amongst others. However, these solutions have inherent challenges such as inter-cell interference and poor mobility management. In heterogeneous networks there is transmit power disparity between …

    cape-town Repository record for Load balancing using cell range expansion in LTE advanced heterogeneous networks (opens in a new tab)

  18. Accelerating Irregular Applications with Pipeline Parallelism

    … Second, such irregular pipelines suffer from load imbalance, as the amount of work in each stage varies rapidly as the program runs. Finally, these stages must communicate and coordinate changes in control flow. This thesis demonstrates that exploiting fine-grain pipeline parallelism in …

    mit Repository record for Accelerating Irregular Applications with Pipeline Parallelism (opens in a new tab)

  19. Load Balancing Scientific Applications

    … systems that evolve over time, and their workloads change over time. Furthermore, the cost of imbalanced load increases with scale because most large-scale scientific simulations today use a Single Program Multiple Data (SPMD) parallel programming model, and an increasing number of processors …

    tdl Repository record for Load Balancing Scientific Applications (opens in a new tab)

  20. Dynamic Load Balancing for a hp-adaptive Discontinuous Galerkin Wave Equation Solver via Spacing-Filling Curve and Advanced Data Structure

    … and 150 million degrees of freedom. Dynamic load imbalance is incurred by the adaptivity of the program, which degrades the performance of the supercomputers. A space-filling curve (SFC) based repartitioning algorithm is implemented in this work. The algorithm is designed to execute quickly …

    ottawa-retro Repository record for Dynamic Load Balancing for a hp-adaptive Discontinuous Galerkin Wave Equation Solver via Spacing-Filling Curve and Advanced Data Structure (opens in a new tab)

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