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检索条件"任意字段=12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012"

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algorithms and architectures for parallel processing - 12th international conference, ica3pp 2012, Proceedings

Algorithms and Architectures for Parallel Processing - 12th ...

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12th international conference on algorithms and architectures for parallel processing, ica3pp 2012

ISBN: (纸本)9783642330643

the proceedings contain 73 papers. the topics discussed include: accelerating the dynamic programming for the optimal polygon triangulation on the GPU;security computing for the resiliency of protecting from internal attacks in distributed wireless sensor networks;optimization of a short-range proximity effect correction algorithm in e-beam lithography using GPGPUs;vectorized algorithms for Quadtree construction and descent;an optimal parallel prefix-sums algorithm on the memory machine models for GPUs;enhancing the performance of a distributed mobile computing environment by topology construction;maintaining consistency in software transactional memory through dynamic versioning tuning;a new low latency parallel turbo decoder employing parallel phase decoding method;high-performance matrix multiply on a massively multithreaded Fiteng1000 processor;and on construction of Cloud IaaS for VM live migration using KVM and OpenNebula.

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algorithms and architectures for parallel processing - 12th international conference, ica3pp 2012, Proceedings

Algorithms and Architectures for Parallel Processing - 12th ...

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12th international conference on algorithms and architectures for parallel processing, ica3pp 2012

ISBN: (纸本)9783642330773

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parallel Implementation of Number-theoretic Transform on GPU Clusters 24th

Parallel Implementation of Number-Theoretic Transform on G...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

作者： Takahashi, Daisuke Center for Computational Sciences University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan

ISBN: (纸本)9789819615414

In this paper, we propose a parallel implementation of the number-theoretic transform (NTT) on GPU clusters. the butterfly operation of the NTT can be performed using modular addition, subtraction, and multiplication. We show that the four-step fast Fourier transform algorithm can be applied to the NTT. We parallelized the four-step NTT using MPI and OpenACC on GPU clusters. We achieved a performance of over 745 giga-operations per second on 32 nodes of a GPU cluster equipped with NVIDIA H100 PCIe GPUs for a 235-point NTT with a modulus of 63 bits. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Number theory

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Enhancing Text-Image Person Re-identification via Intra-Class Relevance Learning 24th

Enhancing Text-Image Person Re-identification via Intra-Cla...

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24th international conference on algorithms and architectures for parallel processing, ica3pp 2024

作者： He, Wenbin Gao, Yutong Liu, Wenjian Chaomurilige Liu, Zheng Guo, Ao Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance Ministry of Education Minzu University of China Beijing100081 China Hainan International College of Minzu University of China Li’an International Education Innovation pilot Zone Hainan Lingshui Li572499 China City University of Macau China

ISBN: (纸本)9789819615278

Text-Image Person Re-Identification (TIReID) is a computer vision task that involves identifying person in images or videos based on textual descriptions. Current works mainly employ Vision Language Pretrained (VLP) models for cross-modal alignment and to reestablish text-image fine-grained associations for re-identification. However, these methods neglect the variations in intra-class sample features, hindering accurate cross-modal alignment and discrimination of fine-grained features for the same person. In this paper, we propose a Cross-modal Intra-Class Learning (CICL) framework to enhance the model’s capability of learning fine-grained cross-modal features and intra-class sample variations. We propose an Image-Text Intra-class Relevance Learning (ITRL) method that considers sample relevance during text-image matching, boosting re-identification capability while maintaining fine-grained text-image alignment. Meanwhile, we propose a Bidirectional Masked Matching (BiMM) method that introduces masks to images and texts, prompting the model to attend to different content regions and establish finer-grained cross-modal associations. We test our approach using the CLIP model on three TIReID benchmarks, achieving results that surpass state-of-the-art performance on multiple metrics. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image matching

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High-Performance Graphics in Racket with DirectX 17th

High-Performance Graphics in Racket with DirectX

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17th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Bossard, Antoine Kanagawa Univ Grad Sch Sci 2946 Tsuchiya Hiratsuka Kanagawa 2591293 Japan

ISBN: (纸本)9783319654829;9783319654812

Nowadays, modern computer systems rely heavily on parallel processing, and not only because of the multicore CPUs bundled with any machine, even mobile devices, but more and more thanks to the parallel processing capacities of graphics processing units (GPU), general-purpose computing on graphics processing units (GPGPU) being one example. In this paper, relying on the DirectX 12 framework, we propose an innovative approach to enable parallel processing for graphical rendering on both the CPU and GPU for the popular Racket functional programming language (formerly PLT Scheme), and importantly without compromising Racket's usability and programmer-friendliness. Our performance evaluations show significant improvements with respect to execution time (x3 speed-up in some cases), CPU utilisation time (reduced by as much as 80% in some scenarios) and the frame rate when using moving graphics.

关键词： GPU parallel processing Functional Programming Scheme

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Accelerating Exhaustive Pairwise Metagenomic Comparisons 17th

Accelerating Exhaustive Pairwise Metagenomic Comparisons

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17th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Perez-Wohlfeil, Esteban Torreno, Oscar Trelles, Oswaldo Univ Malaga Dept Comp Architecture Blvd Louis Pasteur 35 Malaga Spain

ISBN: (纸本)9783319654829;9783319654812

In this manuscript, we present an optimized and parallel version of our previous work IMSAME, an exhaustive gapped aligner for the pairwise and accurate comparison of metagenomes. parallelization strategies are applied to take advantage of modern multiprocessor architectures. In addition, sequential optimizations in CPU time and memory consumption are provided. these algorithmic and computational enhancements enable IMSAME to calculate near optimal alignments which are used to directly assess similarity between metagenomes without requiring reference databases. We show that the overall efficiency of the parallel implementation is superior to 80% while retaining scalability as the number of parallel cores used increases. Moreover, we also show that sequential optimizations yield up to 8x speedup for scenarios with larger data.

关键词： High Performance Computing Pairwise comparison parallel computing Next Generation Sequencing Metagenome comparison

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Statistical Analysis of CCM.M-K1 international Comparison Based on Monte Carlo Method 16th

Statistical Analysis of CCM.M-K1 International Comparison Ba...

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Cai, Chang-qing Ren, Xiao-ping Hao, Guo-dong Wang, Jian Huang, Tao Natl Inst Metrol Beijing 100029 Peoples R China Cent S Univ Dept Intelligence Sci & Engn Changsha 410083 Hunan Peoples R China

ISBN: (纸本)9783319499567;9783319499550

the application of the Monte Carlo method is used in the processing of the measurement result of CCM.M-K1. this method can get over the limitations that apply in certain cases to the method described in GUM. Introduction and analysis of CCM.M-K1 measurement result was given out and commercial software named @RISK was used to purse numerical simulation and the result was compared with the final report of CCM.M-K1, which showed that differences between results of these two were negligible.

关键词： Key comparison Reference value Degree of equivalence Monte carlo method

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Experiments in parallel matrix multiplication on multi-core systems

Experiments in parallel matrix multiplication on multi-core ...

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12th international conference on algorithms and architectures for parallel processing, ica3pp 2012

作者： Legaux, Joeffrey Jubertie, Sylvain Loulergue, Frédéric LIFO University of Orléans France

ISBN: (纸本)9783642330773

Matrix multiplication is an example of application that is both easy to specify and to provide a simple implementation. there exist numerous sophisticated algorithms or very efficient complex implementations. In this study we are rather interested in the design/programming overhead with respect to performance benefits. Starting from the naive sequential implementation, the implementation is first optimised by improving data accesses, then by using vector units of modern processors, and we finally propose a parallel version for multi-core architectures. the various proposed optimisations are experimented on several architectures and the trade-off software complexity versus efficiency is evaluated using Halstead metrics. © 2012 Springer-Verlag.

关键词： Matrix algebra

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Formalizing Data Locality in Task parallel Applications 16th

Formalizing Data Locality in Task Parallel Applications

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Ceballos, German Hagersten, Erik Black-Schaffer, David Uppsala Univ Dept Informat Technol Uppsala Sweden

ISBN: (纸本)9783319499567;9783319499550

Task-based programming provides programmers with an intuitive abstraction to express parallelism, and runtimes with the flexibility to adapt the schedule and load-balancing to the hardware. Although many profiling tools have been developed to understand these characteristics, the interplay between task scheduling and data reuse in the cache hierarchy has not been explored. these interactions are particularly intriguing due to the flexibility task-based runtimes have in scheduling tasks, which may allow them to improve cache behavior. this work presents StatTask, a novel statistical cache model that can predict cache behavior for arbitrary task schedules and cache sizes from a single execution, without programmer annotations. StatTask enables fast and accurate modeling of data locality in task-based applications for the first time. We demonstrate the potential of this new analysis to scheduling by examining applications from the BOTS benchmarks suite, and identifying several important opportunities for reuse-aware scheduling.

关键词： Task-based Cache modeling Performance model

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An optimal parallel prefix-sums algorithm on the memory machine models for GPUs

An optimal parallel prefix-sums algorithm on the memory mach...

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12th international conference on algorithms and architectures for parallel processing, ica3pp 2012

作者： Nakano, Koji Department of Information Engineering Hiroshima University Kagamiyama 1-4-1 Higashi Hiroshima 739-8527 Japan

ISBN: (纸本)9783642330773

the main contribution of this paper is to show optimal algorithms computing the sum and the prefix-sums on two memory machine models, the Discrete Memory Machine (DMM) and the Unified Memory Machine (UMM). the DMM and the UMM are theoretical parallel computing models that capture the essence of the shared memory and the global memory of GPUs. these models have three parameters, the number p of threads, the width w of the memory, and the memory access latency l. We first show that the sum of n numbers can be computed in time units on the DMM and the UMM. We then go on to show that time units are necessary to compute the sum. Finally, we show an optimal parallel algorithm that computes the prefix-sums of n numbers in time units on the DMM and the UMM. © 2012 Springer-Verlag.

关键词： parallel algorithms

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