語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Euro-Par 2020: Parallel Processing =...
~
Rzadca, Krzysztof.
Euro-Par 2020: Parallel Processing = 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Euro-Par 2020: Parallel Processing/ edited by Maciej Malawski, Krzysztof Rzadca.
其他題名:
26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /
其他作者:
Rzadca, Krzysztof.
面頁冊數:
XLIII, 646 p. 492 illus., 192 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Logic Design. -
電子資源:
https://doi.org/10.1007/978-3-030-57675-2
ISBN:
9783030576752
Euro-Par 2020: Parallel Processing = 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /
Euro-Par 2020: Parallel Processing
26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /[electronic resource] :edited by Maciej Malawski, Krzysztof Rzadca. - 1st ed. 2020. - XLIII, 646 p. 492 illus., 192 illus. in color.online resource. - Theoretical Computer Science and General Issues ;12247. - Theoretical Computer Science and General Issues ;9163.
Support Tools and Environments -- Skipping Non-essential Instructions Makes Data-dependence Profiling Faster -- A Toolchain to Verify the Parallelization of OmpSs-2 Applications -- Performance and Power Modeling, Prediction and Evaluation -- Towards a Model to Estimate the Reliability of Large-scale Hybrid Supercomputers -- A Learning-Based Approach for Evaluating the Capacity of Data Processing Pipelines -- Operation-Aware Power Capping -- A Comparison of the Scalability of OpenMP Implementations -- Evaluating the Effectiveness of a Vector-Length-Agnostic Instruction Set -- Scheduling and Load Balancing -- Parallel Scheduling of Data-Intensive Tasks -- A Makespan Lower Bound for the Scheduling of the Tiled Cholesky Factorization Based on ALAP Scheduling -- Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training -- Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing -- High Performance Architectures and Compilers -- Modelling Standard and Randomized Slimmed Folded Clos Networks -- OmpMemOpti: Optimized Memory Movement for Heterogeneous Computing -- Data Management, Analytics and Machine Learning -- Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs -- Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing -- Optimizing FFT-based convolution on ARMv8 multi-core CPUs -- Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems -- Cluster, Cloud and Edge Computing -- TorqueDB: Distributed Querying of Time-series Data from Edge-local Storage -- Data-Centric Distributed Computing on Networks Mobile Devices -- WPSP: a multi-correlated weighted policy for VM selection and migration for Cloud computing -- Theory and Algorithms for Parallel and Distributed Processing -- LCP-Aware Parallel String Sorting -- Mobile RAM and Shape Formation by Programmable Particles -- Approximation Algorithm for Estimating Distances in Distributed Virtual Environments -- On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive Adversaries -- 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication -- Parallel and Distributed Programming, Interfaces, and Languages -- Managing Failures in task-based parallel workflows in distributed computing environments -- Accelerating Nested Data Parallelism: Preserving Regularity -- Using Dynamic Broadcasts to improve Task-Based Runtime Performances -- A Compression-Based Design for Higher Throughput in a Lock-Free Hash Map -- Multicore and Manycore Parallelism -- NVPhTM: An Efficient Phase-Based Transactional System for Non-Volatile Memory -- Enhancing Resource Management through Prediction-based Policies -- Accelerating Overlapping Community Detection: Performance Tuning a Stochastic Gradient Markov Chain Monte Carlo Algorithm -- Parallel Numerical Methods and Applications -- A Prediction Framework for Fast Sparse Triangular Solves -- Multiprecision block-Jacobi for Iterative Triangular Solves -- Efficient Ephemeris Models for Spacecraft Trajectory Simulations on GPUs -- Parallel Finite Cell Method with Adaptive Geometric Multigrid -- Accelerator Computing -- cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs -- Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection -- SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.
This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from 158 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; parallel numerical methods and applications; and accelerator computing.
ISBN: 9783030576752
Standard No.: 10.1007/978-3-030-57675-2doiSubjects--Topical Terms:
670915
Logic Design.
LC Class. No.: QA76.758
Dewey Class. No.: 005.1
Euro-Par 2020: Parallel Processing = 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /
LDR
:05948nam a22004215i 4500
001
1022676
003
DE-He213
005
20200815085531.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030576752
$9
978-3-030-57675-2
024
7
$a
10.1007/978-3-030-57675-2
$2
doi
035
$a
978-3-030-57675-2
050
4
$a
QA76.758
072
7
$a
UMZ
$2
bicssc
072
7
$a
COM051230
$2
bisacsh
072
7
$a
UMZ
$2
thema
072
7
$a
UL
$2
thema
082
0 4
$a
005.1
$2
23
245
1 0
$a
Euro-Par 2020: Parallel Processing
$h
[electronic resource] :
$b
26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings /
$c
edited by Maciej Malawski, Krzysztof Rzadca.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XLIII, 646 p. 492 illus., 192 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Theoretical Computer Science and General Issues ;
$v
12247
505
0
$a
Support Tools and Environments -- Skipping Non-essential Instructions Makes Data-dependence Profiling Faster -- A Toolchain to Verify the Parallelization of OmpSs-2 Applications -- Performance and Power Modeling, Prediction and Evaluation -- Towards a Model to Estimate the Reliability of Large-scale Hybrid Supercomputers -- A Learning-Based Approach for Evaluating the Capacity of Data Processing Pipelines -- Operation-Aware Power Capping -- A Comparison of the Scalability of OpenMP Implementations -- Evaluating the Effectiveness of a Vector-Length-Agnostic Instruction Set -- Scheduling and Load Balancing -- Parallel Scheduling of Data-Intensive Tasks -- A Makespan Lower Bound for the Scheduling of the Tiled Cholesky Factorization Based on ALAP Scheduling -- Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training -- Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing -- High Performance Architectures and Compilers -- Modelling Standard and Randomized Slimmed Folded Clos Networks -- OmpMemOpti: Optimized Memory Movement for Heterogeneous Computing -- Data Management, Analytics and Machine Learning -- Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs -- Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing -- Optimizing FFT-based convolution on ARMv8 multi-core CPUs -- Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems -- Cluster, Cloud and Edge Computing -- TorqueDB: Distributed Querying of Time-series Data from Edge-local Storage -- Data-Centric Distributed Computing on Networks Mobile Devices -- WPSP: a multi-correlated weighted policy for VM selection and migration for Cloud computing -- Theory and Algorithms for Parallel and Distributed Processing -- LCP-Aware Parallel String Sorting -- Mobile RAM and Shape Formation by Programmable Particles -- Approximation Algorithm for Estimating Distances in Distributed Virtual Environments -- On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive Adversaries -- 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication -- Parallel and Distributed Programming, Interfaces, and Languages -- Managing Failures in task-based parallel workflows in distributed computing environments -- Accelerating Nested Data Parallelism: Preserving Regularity -- Using Dynamic Broadcasts to improve Task-Based Runtime Performances -- A Compression-Based Design for Higher Throughput in a Lock-Free Hash Map -- Multicore and Manycore Parallelism -- NVPhTM: An Efficient Phase-Based Transactional System for Non-Volatile Memory -- Enhancing Resource Management through Prediction-based Policies -- Accelerating Overlapping Community Detection: Performance Tuning a Stochastic Gradient Markov Chain Monte Carlo Algorithm -- Parallel Numerical Methods and Applications -- A Prediction Framework for Fast Sparse Triangular Solves -- Multiprecision block-Jacobi for Iterative Triangular Solves -- Efficient Ephemeris Models for Spacecraft Trajectory Simulations on GPUs -- Parallel Finite Cell Method with Adaptive Geometric Multigrid -- Accelerator Computing -- cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs -- Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection -- SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing.
520
$a
This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from 158 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; parallel numerical methods and applications; and accelerator computing.
650
2 4
$a
Logic Design.
$3
670915
650
2 4
$a
Information Systems and Communication Service.
$3
669203
650
2 4
$a
Input/Output and Data Communications.
$3
669873
650
2 4
$a
Control Structures and Microprogramming.
$3
669788
650
2 4
$a
Computer Systems Organization and Communication Networks.
$3
669309
650
1 4
$a
Software Engineering/Programming and Operating Systems.
$3
669780
650
0
$a
Logic design.
$3
561473
650
0
$a
Computers.
$3
565115
650
0
$a
Input-output equipment (Computers).
$3
1254918
650
0
$a
Microprogramming .
$3
1257366
650
0
$a
Computer organization.
$3
596298
650
0
$a
Software engineering.
$3
562952
700
1
$a
Rzadca, Krzysztof.
$e
editor.
$1
https://orcid.org/0000-0002-4176-853X
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1318470
700
1
$a
Malawski, Maciej.
$e
editor.
$1
https://orcid.org/0000-0001-6005-0243
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1318469
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030576745
776
0 8
$i
Printed edition:
$z
9783030576769
830
0
$a
Theoretical Computer Science and General Issues ;
$v
9163
$3
1253524
856
4 0
$u
https://doi.org/10.1007/978-3-030-57675-2
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
912
$a
ZDB-2-LNC
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入