the Nested Neutral Point Clamped (NNPC) converter, functioning as a voltage source Converter (VSC), provides an effective solution for applications requiring Medium-Voltage and high-Power (MVHP). Earlier implementatio...
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the proceedings contain 22 papers. the topics discussed include: towards production code effective portability among vector machines and microprocessors-based architectures;data segmentation management infrastructure ...
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ISBN:
(纸本)0769527043
the proceedings contain 22 papers. the topics discussed include: towards production code effective portability among vector machines and microprocessors-based architectures;data segmentation management infrastructure in a database grid;detecting malicious manipulation in grid environments;policy-based resource allocation in hierarchical virtual organizations for global grids;a speculative trace reuse architecture with reduced hardware requirements;controlling the power and area of neural branch predictors for practical implementation in high-performance processors;a run-time system for efficient execution of scientific workflows on distributed environments;dual-thread speculation: two threads in the machine are worth eight in the bush;characterizing the performance of data management systems on hyper-threaded architectures;and ultra-fast CPU performance prediction: extending the monte carlo approach.
Most learned B-frame codecs with hierarchical temporal prediction suffer from the domain shift issue caused by the discrepancy in the Group-of-Pictures (GOP) size used for training and test. As such, the motion estima...
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the proceedings contain 18 papers. the topics discussed include: exploring federated learning to trace depression in social media with language models;computing seismic attributes with deep-learning models;DASS: dynam...
ISBN:
(纸本)9798350381603
the proceedings contain 18 papers. the topics discussed include: exploring federated learning to trace depression in social media with language models;computing seismic attributes with deep-learning models;DASS: dynamic adaptive sub-target specialization;optimizing microservices performance and resource utilization through containerized grouping: an experimental study;assessing the performance of an architecture-aware optimization tool for neural networks;an exploratory study of deep learning for predicting computational tasks behavior in HPC systems;exploring federated learning to trace depression in social media with language models;computing seismic attributes with deep-learning models;and energy consumption analysis of instruction cache prefetching methods.
the proceedings contain 23 papers. the topics discussed include: performance modeling and estimation of a configurable output stationary neural network accelerator;NeurOPar, a neural network-driven EDP optimization st...
ISBN:
(纸本)9798350305487
the proceedings contain 23 papers. the topics discussed include: performance modeling and estimation of a configurable output stationary neural network accelerator;NeurOPar, a neural network-driven EDP optimization strategy for parallel workloads;exploiting the potential of flexible processing units;reverse time migration with lossy and lossless wavefield compression;performance tuning for GPU-embedded systems: machine-learning-based and analytical model-driven tuning methodologies;WCSim: a cloud computing simulator with support for bag of tasks workflows;performance modeling of MARE2DEM’s adaptive mesh refinement for makespan estimation;and comparing performance and portability between CUDA and SYCL for protein database search on NVIDIA, AMD, and Intel GPUs.
Low-cost electronic circuits for Internet-of-things (IoT) applications are based on system-on-chips (SoCs) with wireless connectivity. Among them, the ESP32 is a well-known microcontroller family adopted by a wide dev...
the proceedings contain 63 papers. the topics discussed include: automated GPU grid geometry selection for OpenMP kernels;effect of network topology on the performance of ADMM-based SVMs;exploring the potential of nex...
ISBN:
(纸本)9781538677698
the proceedings contain 63 papers. the topics discussed include: automated GPU grid geometry selection for OpenMP kernels;effect of network topology on the performance of ADMM-based SVMs;exploring the potential of next generation software-defined in-memory frameworks;a fault-tolerant agent-based architecture for transient servers in fog computing;deep learning on large-scale muticore clusters;accelerating deep neural network training for action recognition on a cluster of GPUs;balancing load of GPU subsystems to accelerate image reconstruction in parallel beam tomography;high-performance ensembles of online sequential extreme learning machine for regression and time series forecasting;a machine learning approach for parameter screening in earthquake simulation;adaptive partitioning for iterated sequences of irregular OpenCL kernels;highly scalable stencil-based matrix-free stochastic estimator for the diagonal of the inverse;and adaptive scheduling of collocated applications using a task-based runtime system.
this study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals' moral foundations. these theoretically-derived dimensions aim to provide an interpre...
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ISBN:
(纸本)9783031785405;9783031785412
this study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals' moral foundations. these theoretically-derived dimensions aim to provide an interpretable profile of an individual's moral concerns which, in recent work, has been linked to behaviour in a range of domains including society, politics, health, and the environment. In this paper, we investigate how moral foundation dimensions can contribute to detecting an individual's stance on a given target. Specifically, we incorporate moral foundation features extracted from text, along with semantic features, to classify stances at both message- and user-levels using traditional machine learning and Large Language Models (LLMs). Our preliminary results suggest that encoding moral foundations can enhance the performance of stance detection tasks, but with notable heterogeneity across task type, models, and datasets. In addition, we illustrate meaningful associations between specific moral foundations and online stances on target topics. the findings from this study highlight the importance of considering deeper psychological attributes in stance classification tasks, and underscore the role of moral foundations in guiding online social behavior.
the proceedings contain 30 papers. the topics discussed include: adaptive compressed caching: design and implementation;enabling dual-core mode in BlueGene/L: challenges and solutions;complex branch profiling for dyna...
ISBN:
(纸本)0769520464
the proceedings contain 30 papers. the topics discussed include: adaptive compressed caching: design and implementation;enabling dual-core mode in BlueGene/L: challenges and solutions;complex branch profiling for dynamic conditional execution;the limits of speculative trace reuse on deeply pipelined processors;performance analysis of DECK collective communication service;a modeling methodology and pre-runtime scheduling for embedded real-time software;performance issues of bandwidth reservations for grid computing;an evaluation of cJava system architecture;ProGrid: a proxy-based architecture for grid operation and management;optimizing packet capture on symmetric multiprocessing machines;a parallel implementation of the LTSn method for a radiative transfer problem;and parallel implementation of a lattice-gauge-theory code: studying quark confinement on PC Clusters.
the proceedings contain 32 papers. the topics discussed include: multi-level parallelism in the computational modeling of the heart;computational characteristics of production seismic migration and its performance on ...
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ISBN:
(纸本)9780769530147
the proceedings contain 32 papers. the topics discussed include: multi-level parallelism in the computational modeling of the heart;computational characteristics of production seismic migration and its performance on novel processor architectures;exploring novel parallelization technologies for 3-D imaging applications;low-cost techniques for reducing branch context pollution in a soft realtime embedded multithreaded processor;predicting loop termination to boost speculative thread-level parallelism in embedded applications;performance improvement of the parallel lattice Boltzmann method through blocked data distributions;a scalable parallel deduplication algorithm;impacts of multiprocessor configurations on workloads in bioinformatics;efficient hardware for modular exponentiation using the sliding-window method with variable-length partitioning;and optimized math functions for a fixed-point DSP architecture.
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