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检索条件"任意字段=2024 International Symposium on Computer Architecture and High Performance Computing Workshops"

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The performance of a Bare Machine Email Server

The Performance of a Bare Machine Email Server

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21st international symposium on computer architecture and high performance computing

作者： Ford, George H., Jr. Karne, Ramesh K. Wijesinha, Alexander L. Appiah-Kubi, Patrick Towson Univ Dept Comp & Informat Sci Towson MD 21252 USA

ISBN: (纸本)9780769538570

Bare machine applications run directly over the hardware without using an operating system or a hard disk. This paper studies the performance of a bare machine email server whose design and implementation is based on several novel architectural features with a view towards optimizing performance. The results are compared with those for the AxiGen and ShareMailPro email servers, and a lean Java-based email server prototype running on Windows whose application-level operation closely matches that of the bare machine email server. For 80,000 emails in a LAN environment, the bare Machine server processing time is approximately 2 times faster than a Java-based server, and 2.4 times faster than the AxiGen server. For 5,500 emails in a WAN environment, the bare machine server performed at least 1.8 times faster than the Java-based and ShareMailPro servers. The results indicate that the bare machine email server outperforms the conventional email servers in LAN and WAN environments, and demonstrate the capability of using bare machines to build high-performance email servers.

关键词： Bare Machine computing (bare) Application Object Email Server SMTP/ POP3 performance

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Enterprise IT trends and implications for architecture research

Enterprise IT trends and implications for architecture resea...

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11th international symposium on high-performance computer architecture

作者： Ranganathan, P Jouppi, N Hewlett Packard Labs ISSL MMSL Palo Alto CA USA

ISBN: (纸本)0769522750

The last decade has seen several changes in the structure and emphasis of enterprise IT systems. Specific infrastructure trends have included the emergence of large consolidated data centers, the adoption of virtualization and modularization, and an increased commoditization of hardware. At the application level, both the workload mix and usage patterns have evolved to an increased emphasis on service-centric computing and SLA-driven performance tuning. These, often dramatic, changes in the enterprise IT landscape motivate equivalent changes in the emphasis of architecture research. In this paper, we summarize some recent trends in enterprise IT systems and discuss the implications for architecture research, suggesting some high-level challenges and open questions for the community to address.

关键词： computer architecture

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A Methodology for Developing high Fidelity Communication Models for Large-scale Applications Targeted on Multicore Systems

A Methodology for Developing High Fidelity Communication Mod...

引用

20th international symposium on computer architecture and high performance computing

作者： Lively, Charles W. Taylor, Valerie E. Alam, Sadaf R. Vetter, Jeffrey S. Texas A&M Univ College Stn TX 77843 USA Oak Ridge Natl Lab Oak Ridge TN USA

ISBN: (纸本)9780769534237

Resource sharing and implementation of software stack for emerging multicore processors introduce performance and scaling challenges for large-scale scientific applications, particularly on systems with thousands of processing elements. Traditional performance optimization, tuning and modeling techniques that rely on uniform representation of computation and communication requirements are only partially useful due to the complexity of applications and underlying systems and software architecture. In this paper, we propose a workload modeling methodology that allows application developers to capture and represent hierarchical decomposition and distribution of their applications thereby allowing them to explore and identify optimal mapping of a workload on a target system. We demonstrate the proposed methodology on a Teraflopsscale fusion application that is developed using message-passing (MPI) programming paradigm. Using our analysis and projection results, we obtain insight into the performance characteristics of the application on a quad-core system and also identify optimal mapping on a Teraflops-scale platform.

关键词： Message passing

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Energy-efficient online resource provisioning for cloud-edge platforms via multi-armed bandits 34

Energy-efficient online resource provisioning for cloud-edge...

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34th IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Rey-Jouanchicot, Jordan del Castillo, Juan Angel Lorenzo Zuckerman, Stephane Veronica Belmega, E. CY Cergy Paris Univ CY Tech Cergy France CY Cergy Paris Univ ETIS UMR 8051 ENSEA CNRS F-95000 Cergy France Univ Gustave Eiffel CNRS LIGM F-77454 Marne La Vallee France

ISBN: (数字)9781665451574

ISBN: (纸本)9781665451574

Edge computing is a new paradigm in which data are locally collected, aggregated and preprocessed before being sent to a Cloud platform. Edge devices, typically IoT objects, are characterized by limited computational capabilities, alongside high energy efficiency operations. In smart building or smart city applications, the overall amount of available IoT devices may account for an important computational capacity. Aggregating the idle CPU cycles of several devices would allow performing on-site parallel and distributed computing, while reusing the available resources in the network. Timely and important computational tasks such as video surveillance processing, HPC jobs, or deep neural network training, can be performed with local available resources. This includes local servers or a private, on-site cloud, as opposed to the use of public clouds, thus avoiding security issues and fostering energy efficiency. An ongoing research topic in such a distributed and volatile context is to design novel algorithms for resource provisioning that allow tasks to be distributed over a set of available IoT devices in an efficient manner. This work presents two online, adaptive and robust scheduling techniques, based on the UCB and EXP3 Multi-Armed Bandit algorithms (MABs), for resource management in Cloud-Edge computing based environments while improving performance and reducing energy consumption. The novelty of our adapted algorithms lies in the fact that we explicitly account for unavailable computing IoT devices resulting in a time-varying available set of arms at each stage. Our numerical results show the high relevance of our approach in reaching optimal provisioning policies in time-varying environments.

关键词： Cloud Edge computing resource provisioning online learning multi-armed bandits

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FSCHOL: An OpenCL-based HPC Framework for Accelerating Sparse Cholesky Factorization on FPGAs 33

FSCHOL: An OpenCL-based HPC Framework for Accelerating Spars...

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33rd IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Tavakoli, Erfan Bank Riera, Michael Quraishi, Masudul Hassan Ren, Fengbo Arizona State Univ Tempe AZ 85281 USA

ISBN: (纸本)9781665443012

The proposed FSCHOL framework consists of an FPGA kernel implementing a throughput-optimized hardware architecture for accelerating the supernodal multifrontal algorithm for sparse Cholesky factorization and a host program implementing a novel scheduling algorithm for finding the optimal execution order of supernodes computations for an elimination tree on the FPGA to eliminate the need for offchip memory access for storing intermediate results. Moreover, the proposed scheduling algorithm minimizes on-chip memory requirements for buffering intermediate results by resolving the dependency of parent nodes in an elimination tree through temporal parallelism. Experiment results for factorizing a set of sparse matrices in various sizes from SuiteSparse Matrix Collection show that the proposed FSCHOL implemented on an Intel Stratix 10 GX FPGA development board achieves on average 5.5x and 9.7x higher performance and 10.3x and 24.7x lower energy consumption than implementations of CHOLMOD on an Intel Xeon E5-2637 CPU and an NVIDIA V100 GPU, respectively.

关键词： Cholesky factorization sparse matrix decomposition FPGA OpenCL high-performance computing reconfigurable computing

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Cloud workload prediction and generation models 29

Cloud workload prediction and generation models

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29th international symposium on computer architecture and high performance computing SBAC-PAD

作者： Madi-Wamba, Gilles Li, Yunbo Orgerie, Anne-Cecile Beldiceanu, Nicolas Menaud, Jean-Marc IMT Atlantique LS2N Nantes France CNRS IRISA Rennes France

ISBN: (纸本)9781509012336

Cloud computing allows for elasticity as users can dynamically benefit from new virtual resources when their workload increases. Such a feature requires highly reactive resource provisioning mechanisms. In this paper, we propose two new workload prediction models, based on constraint programming and neural networks, that can be used for dynamic resource provisioning in Cloud environments. We also present two workload trace generators that can help to extend an experimental dataset in order to test more widely resource optimization heuristics. Our models are validated using real traces from a small Cloud provider. Both approaches are shown to be complimentary as neural networks give better prediction results, while constraint programming is more suitable for trace generation.

关键词： Time series analysis Predictive models Programming Cloud computing Neural networks Virtual machining

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EDGELESS: A Software architecture for Stateful FaaS at the Edge 24

EDGELESS: A Software Architecture for Stateful FaaS at the E...

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33rd international symposium on high-performance Parallel and Distributed computing (HPDC)

作者： Cicconetti, Claudio Carlini, Emanuele Hetzel, Raphael Mortier, Richard Paradell, Antonio Sauer, Markus CNR Pisa Italy Tech Univ Munich TUM Sch CIT Munich Germany Univ Cambridge Cambridge England Worldline Barcelona Spain Siemens AG Munich Germany

EDGELESS is a serverless platform targeting edge computing that supports widely distributed deployments using heterogeneous devices. We present its components, architecture, and programming model. Our working prototyp... 详细信息

ISBN: (纸本)9798400704130

关键词： serverless computing edge computing cloud-continuum resource-constrained devices

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Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency 25

Pliant: Leveraging Approximation to Improve Datacenter Resou...

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25th IEEE international symposium on high performance computer architecture (HPCA)

作者： Kulkarni, Neeraj Qi, Feng Delimitrou, Christina Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9781728114446

Cloud multi-tenancy is typically constrained to a single interactive service colocated with one or more batch, low-priority services, whose performance can be sacrificed when deemed necessary. Approximate computing applications offer the opportunity to enable tighter colocation among multiple applications whose performance is important. We present Pliant, a lightweight cloud runtime that leverages the ability of approximate computing applications to tolerate some loss in their output quality to boost the utilization of shared servers. During periods of high resource contention, Pliant employs incremental and interference-aware approximation to reduce contention in shared resources, and prevent QoS violations for co-scheduled interactive, latency-critical services. We evaluate Pliant across different interactive and approximate computing applications, and show that it preserves QoS for all co-scheduled workloads, while incurring a 2.1% loss in output quality, on average.

关键词： Quality of service Approximate computing Runtime Cloud computing Interference Optimization Synchronization

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PY-PITS: A Scalable Python Runtime System for the Computation of Partially Idempotent Tasks 28

PY-PITS: A Scalable Python Runtime System for the Computatio...

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28th IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Borin, Edson Benedicto, Caian Rodrigues, Ian L. Pisani, Flavia Tygel, Martin Breternitz, Mauricio, Jr. Univ Campinas UNICAMP IC Campinas SP Brazil Univ Campinas UNICAMP Ctr Petr Studies CEPETRO Campinas SP Brazil Univ Campinas UNICAMP Inst Math Stat & Sci Comp IMECC Campinas SP Brazil AMD Res Austin TX USA

ISBN: (纸本)9781509048441

The popularization of multi-core architectures and cloud services has allowed users access to high performance computing infrastructures. However, programming for these systems might be cumbersome due to challenges involving system failures, load balancing, and task scheduling. Aiming at solving these problems, we previously introduced SPITS, a programming model and reference architecture for executing bag-of-task applications. In this work, we discuss how this programming model allowed us to design and implement PY-PITS, a simple and effective open source runtime system that is scalable, tolerates faults and allows dynamic provisioning of resources during computation of tasks. We also discuss how PY-PITS can be used to improve utilization of multi-user computational clusters equipped with queues to submit jobs and propose a performance model to aid users to understand when the performance of PY-PITS scales with the number of Workers.

关键词： bag of tasks distributed computing runtime Partially Idempotent Tasks programming model

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A Research-Based Course Module to Study Non-determinism in high performance Applications 36

A Research-Based Course Module to Study Non-determinism in H...

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36th IEEE international Parallel and Distributed Processing symposium (IEEE IPDPS)

作者： Bell, Patrick Suarez, Kae Fossum, Barbara Chapp, Dylan Bhowmick, Sanjukta Taufer, Michela Univ Tennessee Knoxville TN 37996 USA Univ North Texas Denton TX 76203 USA

ISBN: (纸本)9781665497473

We present a research-based course module to teach computer science students, software developers, and scientists the effects of non-determinism on high performance applications. The course module uses the ANACIN-X software package, a suite of software modules developed by the authors;ANACIN-X provides test cases, analytic tools to run different scenarios (e.g., using different numbers of processes and different communication patterns), and visualization tools for beginner, intermediate, and advanced level understandings in non-determinism. Through our course module, students in computer science, software developers, and scientists gain an understanding of non-determinism, how to measure its occurrence in an execution, and how to identify its root causes within an application's code.

关键词： high performance computing Parallelism Message Passing Workforce Development Debugging

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