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检索条件"任意字段=Proceedings International Symposium on Databases in Parallel and Distributed Systems"

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An Architecture Interface and Offload Model for Low-Overhead, Near-Data, distributed Accelerators 22

An Architecture Interface and Offload Model for Low-Overhead...

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proceedings of the 55th Annual IEEE/ACM international symposium on Microarchitecture

作者： Saambhavi Baskaran Mahmut Taylan Kandemir Jack Sampson Pennsylvania State University

ISBN: (纸本)9781665462723

The performance and energy costs of coordinating and performing data movement have led to proposals adding compute units and/or specialized access units to the memory hierarchy. However, current on-chip offload models are restricted to fixed compute and access pattern types, which limits software-driven optimizations and the applicability of such an offload interface to heterogeneous accelerator resources. This paper presents a computation offload interface for multi-core systems augmented with distributed on-chip accelerators. With energy-efficiency as the primary goal, we define mechanisms to identify offload partitioning, create a low-overhead execution model to sequence these fine-grained operations, and evaluate a set of workloads to identify the complexity needed to achieve distributed near-data *** demonstrate that our model and interface, combining features of dataflow in parallel with near-data processing engines, can be profitably applied to memory hierarchies augmented with either specialized compute substrates or lightweight near-memory cores. We differentiate the benefits stemming from each of elevating data access semantics, near-data computation, inter-accelerator coordination, and compute/access logic specialization. Experimental results indicate a geometric mean (energy efficiency improvement; speedup; data movement reduction) of (3.3; 1.59; 2.4)×, (2.46; 1.43; 3.5)× and (1.46; 1.65; 1.48)× compared to an out-of-order processor, monolithic accelerator with centralized accesses and monolithic accelerator with decentralized accesses, respectively. Evaluating both lightweight core and CGRA fabric implementations highlights model flexibility and quantifies the benefits of compute specialization for energy efficiency and speedup at 1.23× and 1.43×, respectively.

关键词： distributed accelerator near-data offload energy efficiency heterogeneous architecture interface

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Non-Asymptotic Performance Analysis of Size-Based Routing Policies 28

Non-Asymptotic Performance Analysis of Size-Based Routing Po...

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28th IEEE international symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication systems (IEEE MASCOTS)

作者： Bachmat, Eitan Doncel, Josu Ben Gurion Univ Negev Dept Comp Sci IL-84105 Beer Sheva Israel Univ Basque Country UPV EHU Dept Math Leioa 48940 Spain

ISBN: (纸本)9781728192383

We investigate the performance of two size-based routing policies: the Size Interval Task Assignment (SITA) and Task Assignment based on Guessing Size (TAGS). We consider a system with two servers and Bounded Pareto distributed job sizes with tail parameter 1 where the difference between the size of the largest and the smallest job is finite. We show that the ratio between the mean waiting time of TAGS over the mean waiting time of SITA is unbounded when the largest job size is large and the arrival rate times the largest job size is less than one. We provide numerical experiments that show that our theoretical findings extend to Bounded Pareto distributed job sizes with tail parameter different to 1.

关键词： Size-based Routing parallel Servers Heavy-tailed distributions

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Keynote Lecture : Towards Robust, Large-scale Concurrent and distributed Programming

Keynote Lecture : Towards Robust, Large-scale Concurrent and...

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international symposium on parallel and distributed Computing

作者： Philipp Haller KTH Royal Institute of Technology Stockholm Sweden

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Software systems must satisfy rapidly increasing demands imposed by emerging applications. For example, new AI applications, such as autonomous driving, require quick responses to an environment that is changing continuously. At the same time, software systems must be fault-tolerant in order to ensure a high degree of availability. As it stands, however, developing these new distributed software systems is extremely challenging even for expert software engineers due to the interplay of concurrency, asynchronicity, and failure of components. The objective of our research is to develop reusable solutions to the above challenges by means of novel programming models and frameworks that can be used to build a wide range of applications. This talk reports on our work on the design, implementation, and foundations of programming models and languages that enable the robust construction of large-scale concurrent and distributed software systems.

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Practical distributed Programming in C++ 20

Practical Distributed Programming in C++

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29th international symposium on High-Performance parallel and distributed Computing, HPDC 2020

作者： Drocco, Maurizio Castellana, Vito Giovanni Minutoli, Marco IBM TJ Watson Yorktown HeightsNY United States Pacific Northwest National Laboratory RichlandWA United States

ISBN: (纸本)9781450370523

The need for coupling high performance with productivity is steering the recent evolution of the C++ language where low-level aspects of parallel and distributed computing are now part of the standard or under discussion for inclusion. The Standard Template Library (STL) includes containers and algorithms as primary notions, coupled with execution policies that allow exploiting parallel platforms (e.g., multi-cores) on top of a well-defined operational semantics. In this work, we discuss the design of a stack for STL-compliant containers, iterators, algorithms, and execution policies targeting distributed-memory systems. Finally, we evaluate the proposed approach by analyzing the performance of our proof-of-concept implementation over a set of STL algorithms. © 2020 ACM.

关键词： Containers

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HPDC 2020 - proceedings of the 29th international symposium on High-Performance parallel and distributed Computing

HPDC 2020 - Proceedings of the 29th International Symposium ...

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29th international symposium on High-Performance parallel and distributed Computing, HPDC 2020

ISBN: (纸本)9781450370523

The proceedings contain 22 papers. The topics discussed include: spying on the floating point behavior of existing, unmodified scientific applications;high accuracy matrix computations on neural engines: a study of QR factorization and its applications;space-efficient k-d tree-based storage format for sparse tensors;modeling the temporally constrained preemptions of transient cloud VMs;cloud-scale VM-deflation for running interactive applications on transient servers;funcX: a federated function serving fabric for science;towards HPC I/O performance prediction through large-scale log analysis;significantly improving lossy compression for HPC datasets with second-order prediction and parameter optimization;DCDB Wintermute: enabling online and holistic operational data analytics on HPC systems;and FFT-based gradient sparsification for the distributed training of deep neural networks.

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parallel State Estimation under Flexible Connections in Small Celestial Body Landings

Parallel State Estimation under Flexible Connections in Smal...

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IAF Space Communications and Navigation symposium 2021 at the 72nd international Astronautical Congress, IAC 2021

作者： Ge, Dantong Cui, Pingyuan Lu, Xiaoxuan Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781713843023

In this paper, the problem of multi-node state estimation during small celestial body flexible landing is investigated. Considering the restrained effect imposed by the flexible connections between the nodes, an equivalent restrained state is defined. The actual state of the node can be regarded as the combination of its free state and the equivalent restrained state. The equivalent restrained state is then treated as the extended state of the node. A parallel state estimation algorithm is designed, which accomplishes a simultaneous estimation of both the actual state and the equivalent restrained state. In view of the bidirectional restrained effect of the flexible connections, a correction method that fuses equivalent restrained state estimates is further proposed. By exchanging state estimates and measurements among the sensors, consensus of the adjacent nodes’ estimation results with respect to the equivalent restrained state can be guaranteed. The proposed method is validated and compared with the standard distributed EKF algorithm through numerical simulations. It shows that, for cooperative navigation systems with time-variant internal constraints, the precision of state estimation can be effectively improved by implementing the proposed estimation method. Copyright © 2021 by the international Astronautical Federation (IAF). All rights reserved.

关键词： State estimation

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Data Center Isolated parallel Ring Bus Differential Protection Scheme

Data Center Isolated Parallel Ring Bus Differential Protecti...

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IEEE international symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Taosha Jiang Lisa Qi Yuzhi Zhang Harish Suryanarayana Mohammed Alzamli Harry Handlin Silvio Colombi US Resesarch Center ABB Inc. Raleigh USA Electrification Distribution Solutions ABB Inc. Glendale Heights USA Electrification Smart Power ABB Ltd. Quartino Switzerland

UPSs are used in data centers and other critical power applications for power conditioning and back-up. In addition, to ensure reliability of the data center, a redundant architecture is needed. This increases capital expenses and decreases the utilization rate. One approach is to use the isolated parallel ring bus (IPRB) architecture with static UPS. This features load sharing with active and reactive power transferred through choke inductors to the ring bus. This architecture maximizes the utilization rate while maintaining the reliability of the system. The protection scheme in this IPRB is critical to guarantee the operation in case of any fault. In this paper, the differential protection scheme of the IPRB is explained with simulation and field-testing results. The differential protection can effectively identify and isolate faults to ensure uninterrupted service to the load.

关键词： Power conditioning Fault diagnosis Data centers Reactive power distributed databases distributed power generation Inductors

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A combined fast/cycle accurate simulation tool for reconfigurable accelerator evaluation: application to distributed data management 31

A combined fast/cycle accurate simulation tool for reconfigu...

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31st international Workshop on Rapid System Prototyping (RSP) - Shortening the Path from Specification to Prototype

作者： Lenormand, Erwan Goubier, Thierry Cudennec, Loic Charles, Henri-Pierre Univ Paris Saclay Inst LIST CEA PC 172 F-91191 Gif Sur Yvette France DGA MI Dept Artificial Intelligence BP 7 F-35998 Rennes Armees France Univ Grenoble Alpes CEA Inst LIST F-38000 Grenoble France

ISBN: (纸本)9781728184661

parallel computing systems based on reconfigurable accelerators are becoming (1) increasingly heterogeneous, (2) difficult to design and (3) complex to model. Such modeling of a parallel computing system helps to evaluate its performance and to improve its architecture before prototyping. This paper presents a simulation tool aiming to study the integration of reconfigurable accelerators in scalable distributed systems and runtimes, such as S-DSM systems, where S-DSM (software-distributed shared memory) is a paradigm to ease data management among distributed nodes. This tool allows us to simulate the execution of irregular compute kernels accessing distributed data. To deal with the complexity of modeling (3) the complete system we used a hybrid methodology. We integrated the simulation engine into the S-DSM. The distributed data management part is executed on the physical architecture allowing to generate precise and faithful latencies, and the accelerator simulation is cycle accurate. We used general sparse matrix-matrix multiplication (SpGEMM) as a case study. We show that the use of this tool makes it possible to analyze the behavior of an heterogeneous system (1) with rapid prototyping and simulation. The analysis of the results allowed to determine the correct sizing of the architecture (2) to obtain the best performance. The tool allowed to identify the bottleneck of our architecture and confirmed the possibility of hiding data access latencies. Our simulation platform allows to emulate a heterogeneous distributed system by introducing a slowdown between 1.2 and 3.7 times compared to the compute kernel simulation alone.

关键词： Hybrid simulation distributed systems Reconfigurable Computing

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An Systematic Study on Blockchain Transaction databases Storage and Optimization 18

An Systematic Study on Blockchain Transaction Databases Stor...

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18th IEEE Int Symp on parallel and distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)

作者： Zhang, Jingyu Zhong, Siqi Wang, Jin Wang, Lei Changsha Univ Sci & Technol Sch Comp & Commun Engn Changsha Peoples R China Natl Univ Def Technol Sch Syst Engn Changsha Peoples R China Fujian Univ Technol Sch Informat Sci & Engn Fujian Peoples R China Changsha Univ Sci & Technol Sch Civil Engn Changsha Peoples R China

ISBN: (纸本)9781665414852

As the peer-to-peer networks, blockchain transaction systems require each node to store a complete collection of Unspent Transaction Output (UTXO) in the in-memory transaction database, so as to ensure new transactions can by verified independently and realize the system decentralization. However, the size of blockchain transaction database is growing rapidly, in order to meet the requirements of transaction verification and system decentralization, the nodes need to constantly expand the memory capacity to adapt to the growing database, which leads to the in-memory storage problem of transaction database. This paper analyzes blockchain transaction databases and proposes a storage optimization scheme. The scheme uses the expiration identification method based on Least Recently Used (LRU) algorithm to separate the blockchain addresses into cold and hot zones. It can achieve storage optimization by moving special UTXOs away from the in-memory database, and it can achieve storage optimization without damaging data integrity and security. We present the theoretical analysis for the optimization method to validate the effectiveness. Designed extensive experiments show our proposed method outperforms the current mechanism for the blockchain transaction databases.

关键词： Blockchain system Transaction verification Transaction database

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proceedings - 2020 IEEE international symposium on parallel and distributed Processing with Applications, 2020 IEEE international Conference on Big Data and Cloud Computing, 2020 IEEE international symposium on Social Computing and Networking and 2020 IEEE international Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

Proceedings - 2020 IEEE International Symposium on Parallel ...

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18th IEEE international symposium on parallel and distributed Processing with Applications, 10th IEEE international Conference on Big Data and Cloud Computing, 13th IEEE international symposium on Social Computing and Networking and 10th IEEE international Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020

ISBN: (纸本)9781665414852

The proceedings contain 202 papers. The topics discussed include: multi-relational graph convolutional networks for skeleton-based action recognition;identifying the right person in social networks with double metaphone codes;a novel strong cache consistency mechanism in ICN based on role division and lease model;demystifying the largest live game streaming platform via black-box measurement;framework-agnostic optimization of repeated skewed joins at massive scale;remote procedure call optimization of big data systems based on data awareness;MCSEC: secure coded matrix multiplication scheme for edge computing with minimum communication cost;low-rate DoS attack detection based on WPD-EE algorithm;user identity linkage across location-based social networks with spatio-temporal check-in patterns;optimizing 3-D placement of multiple UAVs based on Taguchiâ€™s method;and feature envy detection based on Bi-LSTM with self-attention mechanism.

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