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检索条件"任意字段=22th International Conference on Architecture of Computing Systems 2009"

共 774 条记录，以下是1-10 订阅

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22nd ISCA international conference on Parallel and Distributed computing and Communication systems 2009, PDCCS 2009

22nd ISCA International Conference on Parallel and Distribut...

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22nd international conference on Parallel and Distributed computing and Communication systems, PDCCS 2009

ISBN: (纸本)9781615675777

the proceedings contain 36 papers. the topics discussed include: heuristics for distributed systems clustering and mapping under network restrictions;a self-adaptive weighted sum technique for the joint optimization of performance and power consumption in data centers;static load balancing for cost minimization in distributed computing systems;minimizing inter-iteration dependencies in multi-dimensional loops;a high performance Gibbs sampling algorithm for item response theory;parallel molecular dynamics on the cell architecture;resource discovery for query processing in data grids;scheduling real time tasks on heterogeneous reconfigurable devices;concurrent data processing for fusion simulation through distributed CCA component;and design and implement dynamic irregular parallel computation using the key-value-reference model.

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architecture of computing systems - ARCS 2009 - 22nd international conference, Proceedings

Architecture of Computing Systems - ARCS 2009 - 22nd Interna...

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22nd international conference on architecture of computing systems - ARCS 2009

the proceedings contain 21 papers. the topics discussed include: life on the trendmill;key microarchitectural innovations for future microprocessors;the challenges of multicore: information and mis-information;extracting coarse-grained pipelined parallelism out of sequential applications for parallel processor arrays;parallelization approaches for hardware accelerators - loop unrolling versus loop partitioning;evaluation sampling based hotspot detection;a reconfigurable bloom filter architecture for BLASTN;SoCWire: a robust and fault tolerant network-on-chip approach for a dynamic reconfigurable system-on-chip in FPGAs;a light-weight approach to dynamical runtime linking supporting heterogeneous, parallel, and reconfigurable architectures;and ultra-fast downloading of partial bitstreams through Ethernet.

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architecture of computing systems, ARCS 2011 - 24th international conference, Proceedings

Architecture of Computing Systems, ARCS 2011 - 24th Internat...

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24th international conference on architecture of computing systems, ARCS 2011

ISBN: (纸本)9783642191367

the proceedings contain 22 papers. the topics discussed include: a code-based analytical approach for using separate device coprocessors in computing systems;scalability evaluation of a polymorphic register file: a CG case study;using Amdahl's law for performance analysis of many-core SoC architectures based on functionally asymmetric processors;application-aware power saving for online transaction processing using dynamic voltage and frequency scaling in a multicore environment;emulating transactional memory on FPGA multiprocessors;architecture of an adaptive test system built on FPGAs;analysis of execution efficiency in the microthreaded processor UTLEON3;a dynamic instruction scratchpad memory for embedded processors managed by hardware;exploring the Prefetcher/memory controller design space: an opportunistic Prefetch scheduling strategy;and compiler-assisted selection of a software transactional memory system.

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PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled computing System 25

PAPI: Exploiting Dynamic Parallelism in Large Language Model...

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30th ACM international conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2025

作者： He, Yintao Mao, Haiyu Giannoula, Christina Sadrosadati, Mohammad Gómez-Luna, Juan Li, Huawei Li, Xiaowei Wang, Ying Mutlu, Onur Sklp Institute of Computing Technology Cas University of Chinese Academy of Sciences Beijing China King's College London Eth Zürich London United Kingdom University of Toronto Vector Institute Eth Zürich Toronto Canada Safari Research Group Eth Zürich Zurich Switzerland Nvidia Zurich Switzerland Sklp Institute of Computing Technology Cas Beijing China

ISBN: (纸本)9798400710797

Large language models (LLMs) are widely used for natural language understanding and text generation. An LLM model relies on a time-consuming step called LLM decoding to generate output tokens. Several prior works focus on improving the performance of LLM decoding using parallelism techniques, such as batching and speculative decoding. State-of-the-art LLM decoding has both compute-bound and memory-bound kernels. Some prior works statically identify and map these different kernels to a heterogeneous architecture consisting of both processing-in-memory (PIM) units and computation-centric accelerators (e.g., GPUs). We observe that characteristics of LLM decoding kernels (e.g., whether or not a kernel is memory-bound) can change dynamically due to parameter changes to meet user and/or system demands, making (1) static kernel mapping to PIM units and computation-centric accelerators suboptimal, and (2) one-size-fits-all approach of designing PIM units inefficient due to a large degree of heterogeneity even in memory-bound kernels. In this paper, we aim to accelerate LLM decoding while considering the dynamically changing characteristics of the kernels involved. We propose PAPI (PA rallel Decoding with PI M), a PIM-enabled heterogeneous architecture that exploits dynamic scheduling of compute-bound or memory-bound kernels to suitable hardware units. PAPI has two key mechanisms: (1) online kernel characterization to dynamically schedule kernels to the most suitable hardware units at runtime and (2) a PIM-enabled heterogeneous computing system that harmoniously orchestrates both computation-centric processing units (GPU) and hybrid PIM units with different computing capabilities. Our experimental results on three broadly-used LLMs (i.e., LLaMA-65B, GPT-3 66B, and GPT-3 175B) show that PAPI achieves 1.8× and 11.1× speedups over a state-of-the-art heterogeneous LLM accelerator (i.e., GPU and PIM) and a state-of-the-art PIM-only LLM accelerator, respectively. © 2025 ACM.

关键词： Decoding

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Robust Individualistic Learning in Many-Agent systems 25th

Robust Individualistic Learning in Many-Agent Systems

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25th international conference on Principles and Practice of Multi-Agent systems, PRIMA 2024

作者： He, Keyang Doshi, Prashant Banerjee, Bikramjit THINC Lab School of Computing University of Georgia 415 Boyd Research and Education Center AthensGA30602 United States School of Computing Sciences and Computer Engineering University of Southern Mississippi 118 College Drive #5106 HattiesburgMS39406 United States

ISBN: (纸本)9783031773662

A recent multiagent reinforcement learning method, the interactive advantage actor critic (IA2C), engages in individual agent training coupled with decentralized execution by predicting the other agents’ actions from possibly noisy observations. this paradigm differs from the prevailing methods that engage in centralized training, which involves knowing varied information about the agents during the learning. Such epistemic commitments may not be feasible in live adversarial settings and other agents in practice could have learned differently. Against explicitly modeling others, in this paper we let IA2C utilize a specific encoder-decoder architecture, which allows it to learn a latent representation of the hidden state and other agents’ actions that does not encounter some of the challenges of explicit modeling. Our experiments in two domains – each populated by many agents – reveal that the latent IA2C not only learns better quality behaviors but also improves sample efficiency by reducing variance and converging faster. We add further realism by introducing open versions of these domains where the agent population may change over time, and evaluate on these instances under the added uncertainty with good results. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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Collaborative Pushing and Grasping in Complex Scenarios via a Generator-Evaluator Network with Multiple Action Primitives 17th

Collaborative Pushing and Grasping in Complex Scenarios vi...

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17th international conference on Intelligent Robotics and Applications, ICIRA 2024

作者： Zuo, Guoyu Wang, Zihao Luo, Yongkang Yu, Shuangyue Zhao, Min School of Information Science and Technology Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing100124 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9789819607761

As robotic technologies advance, robotic arm manipulation tasks in complex environments become increasingly important. this paper presents a new collaborative pushing and grasping strategy to address two major challenges robotic arms encounter in complex environments: invisibility and tight enclosure of target objects. We propose a generator-evaluator network architecture based on multiple action primitives, incorporating hierarchical reinforcement learning and Double DQN techniques to optimize the operational efficiency of the robotic arm. By introducing a new action primitive to prioritize pushing operations around the topmost objects in space, our approach effectively reveals and locates obscured target objects. Additionally, utilizing the Spatial Correlation Test (SCT), our method explores all possible collision-free operational positions in the action space, selecting the optimal position from among them. Experimental results demonstrate that our approach achieves high efficiency and success rates in scenarios with randomly distributed objects, objects tightly enclosed by others, and invisible objects. this strategy enhances the speed and accuracy of tasks and improves the robot’s adaptability to complex environments. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Robotic arms

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Container Performance in Space systems

Container Performance in Space Systems

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25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on Embedded systems, Cyber-physical systems, and Applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

作者： Alamgir, Shariar M. Bohra, Dhruv L. Nguyen, Elisabeth A. Embedded and Specialized Computing Department The Aerospace Corporation El SegundoCA United States Software Architecture and Engineering Department The Aerospace Corporation El SegundoCA United States

ISBN: (纸本)9783031859229

Critical embedded software, such as spacecraft flight software, requires high reliability, efficiency, and real-time performance while being capable enough to meet application needs. the increasing prevalence of Linux, and in particular Linux containers, presents opportunities for space systems but also poses potential risks since Linux was not designed to be a real-time operating system. In this study, we conducted a variety of experiments to look at both the overhead imposed by containers and the latency experienced in Linux using various combinations of patched OS and containers running on a Raspberry Pi 4. We found that containers have little impact on CPU utilization but do incur penalties in RAM, disk storage, and startup time. We also found the unpatched Linux kernel performs well for real time;and that, while the real-time kernel patch reduces both overall and maximum latency, it can negatively impact performance, particularly on single-core systems running non-real-time tasks. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Linux

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Efficient Fault-Tolerant Addition by Operand Width Considerat

Efficient Fault-Tolerant Addition by Operand Width Considera...

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22th international conference on architecture of computing systems 2009

作者： Bernhard Fechner Joerg Keller FernUniversität in Hagen Dept. of Mathematics and Computer Science 58084 Germany

Addition is a central operation in microcontrollers and hence faults should be detected for safety reasons. We extend the principle of recomputing with shifted operands (RESO) by doing the re-computation concurrently to the computation in the case of small operands. thus, we generate a solution cheaper than two adders and faster than simple repetition. To extend RESO, we consider the actual bit-widths of the operands. We validate our method with data from static code analysis of two application kernels.

关键词： Adders Redundancy Multiplexing Fault tolerant systems Logic gates Hardware

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Service oriented Enterprise-architecture for Enterprise Engineering Introduction

Service oriented Enterprise-Architecture for Enterprise Engi...

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13th IEEE international Enterprise Distributed Object computing conference (EDOC 2009)

作者： Nurcan, Selmin Schmidt, Rainer Univ Paris 01 CRI F-75231 Paris 05 France Sorbonne Grad Business Sch Paris France HTW Aalen Germany

ISBN: (纸本)9781424455638

the goal of the workshop is to clarify the relationship between business process management and service provisioning. this relatively recent area of interest requires the development of concepts and methods to assist the engineering and the management of Service-Oriented Enterprise architectures and their support systems. Five peer-reviewed papers have been presented during the workshop. they allowed to characterize the strong relationship existing between Business Process Management and Service oriented Enterprise architecture.

关键词： Service-oriented computing Enterprise architecture Business services Model Driven Engineering Service-oriented systems

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On the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic computing

On the Usefulness of Detecting Soft Errors in Parallel Pipel...

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international conference on architecture of computing systems

作者： Marcus Komann Frank Taubert Dietmar Fey Friedrich-Schiller-University Jena

ISBN: (纸本)9783800731336

Computer hardware is always in danger of being hit by ionized particles which cause different kinds of faults. In this paper, the effect of transient soft-errors on the stages of parallel pipelines is investigated by the example of emergent algorithms and machine vision. A fault injection model is introduced and the corresponding protection scheme is presented. During simulation, the number of relevant faults showed to be relatively small and the effect on the pipelines was mostly negligible. However, the costs for protection are low possibly making use of protection worthwhile.

关键词： pipeline robot vision piping Computer hardware faults parallel pipe Dependent failure Danger Parallel Lines

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