Parallel computing :: technology trends /
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Amsterdam ; Washington, DC :
IOS Press,
[2020]
|
| Series: | Advances in parallel computing ;
v. 36. |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Item Description: | Conference: "ParCo2019, held in Prague, Czech Republic, from 10-13 September 2019 ..."--Back cover |
| Physical Description: | 1 online resource (xvii, 785 pages) |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9781643680712 1643680714 |
| ISSN: | 0927-5452 ; |
Staff View
MARC
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| 111 | 2 | |a ParCo2019 |d (2019 : |c Prague, Czech Republic) |j author. | |
| 245 | 1 | 0 | |a Parallel computing : |b technology trends / |c edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). |
| 264 | 1 | |a Amsterdam ; |a Washington, DC : |b IOS Press, |c [2020] | |
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| 490 | 1 | |a Advances in parallel computing, |x 0927-5452 ; |v v. 36 | |
| 500 | |a Conference: "ParCo2019, held in Prague, Czech Republic, from 10-13 September 2019 ..."--Back cover | ||
| 504 | |a Includes bibliographical references and indexes. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed July 6, 2020). | |
| 505 | 0 | |a Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods | |
| 505 | 8 | |a GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas | |
| 505 | 8 | |a Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction | |
| 505 | 8 | |a Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI | |
| 505 | 8 | |a Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation | |
| 650 | 0 | |a Parallel processing (Electronic computers) |v Congresses. | |
| 650 | 6 | |a Parallélisme (Informatique) |v Congrès. | |
| 650 | 7 | |a Parallel processing (Electronic computers) |2 fast | |
| 655 | 0 | |a Electronic books. | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 700 | 1 | |a Foster, Ian, |d 1959- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PBJdwYvBXdxm4y6rt4RCG73 |0 http://id.loc.gov/authorities/names/n88286979 | |
| 700 | 1 | |a Joubert, G. R. |q (Gerhard Robert), |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjyrf6cgWxVx8dQHJbqfbd |0 http://id.loc.gov/authorities/names/n89670157 | |
| 700 | 1 | |a Kučera, Luděk, |e editor. |0 http://id.loc.gov/authorities/names/n88083143 | |
| 700 | 1 | |a Nagel, Wolfgang E., |e editor. |0 http://id.loc.gov/authorities/names/n97012769 | |
| 700 | 1 | |a Peters, F. J., |e editor. |0 http://id.loc.gov/authorities/names/n80081244 | |
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| author2 | Foster, Ian, 1959- Joubert, G. R. (Gerhard Robert) Kučera, Luděk Nagel, Wolfgang E. Peters, F. J. |
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| author_corporate | ParCo2019 Prague, Czech Republic |
| author_corporate_role | |
| author_facet | Foster, Ian, 1959- Joubert, G. R. (Gerhard Robert) Kučera, Luděk Nagel, Wolfgang E. Peters, F. J. ParCo2019 Prague, Czech Republic |
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| contents | Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation |
| ctrlnum | (OCoLC)1161988463 |
| dewey-full | 004.35 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.35 |
| dewey-search | 004.35 |
| dewey-sort | 14.35 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic Conference Proceeding eBook |
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| genre | Electronic books. Conference papers and proceedings fast |
| genre_facet | Electronic books. Conference papers and proceedings |
| id | ZDB-4-EBA-on1161988463 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-11T08:47:20Z |
| institution | BVB |
| isbn | 9781643680712 1643680714 |
| issn | 0927-5452 ; |
| language | English |
| oclc_num | 1161988463 |
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| series | Advances in parallel computing ; |
| series2 | Advances in parallel computing, |
| spelling | ParCo2019 (2019 : Prague, Czech Republic) author. Parallel computing : technology trends / edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). Amsterdam ; Washington, DC : IOS Press, [2020] ©2020 1 online resource (xvii, 785 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in parallel computing, 0927-5452 ; v. 36 Conference: "ParCo2019, held in Prague, Czech Republic, from 10-13 September 2019 ..."--Back cover Includes bibliographical references and indexes. Online resource; title from PDF title page (EBSCO, viewed July 6, 2020). Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation Parallel processing (Electronic computers) Congresses. Parallélisme (Informatique) Congrès. Parallel processing (Electronic computers) fast Electronic books. Conference papers and proceedings fast Foster, Ian, 1959- editor. https://id.oclc.org/worldcat/entity/E39PBJdwYvBXdxm4y6rt4RCG73 http://id.loc.gov/authorities/names/n88286979 Joubert, G. R. (Gerhard Robert), editor. https://id.oclc.org/worldcat/entity/E39PCjyrf6cgWxVx8dQHJbqfbd http://id.loc.gov/authorities/names/n89670157 Kučera, Luděk, editor. http://id.loc.gov/authorities/names/n88083143 Nagel, Wolfgang E., editor. http://id.loc.gov/authorities/names/n97012769 Peters, F. J., editor. http://id.loc.gov/authorities/names/n80081244 has work: Parallel computing (Text) https://id.oclc.org/worldcat/entity/E39PCG4wTGytwtp67hcqFW3Hfq https://id.oclc.org/worldcat/ontology/hasWork Print version: Parallel computing. Amsterdam : IOS Press, [2020] 9781643680705 Advances in parallel computing ; v. 36. http://id.loc.gov/authorities/names/n88500108 |
| spellingShingle | Parallel computing : technology trends / Advances in parallel computing ; Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation Parallel processing (Electronic computers) Congresses. Parallélisme (Informatique) Congrès. Parallel processing (Electronic computers) fast |
| title | Parallel computing : technology trends / |
| title_auth | Parallel computing : technology trends / |
| title_exact_search | Parallel computing : technology trends / |
| title_full | Parallel computing : technology trends / edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). |
| title_fullStr | Parallel computing : technology trends / edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). |
| title_full_unstemmed | Parallel computing : technology trends / edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). |
| title_short | Parallel computing : |
| title_sort | parallel computing technology trends |
| title_sub | technology trends / |
| topic | Parallel processing (Electronic computers) Congresses. Parallélisme (Informatique) Congrès. Parallel processing (Electronic computers) fast |
| topic_facet | Parallel processing (Electronic computers) Congresses. Parallélisme (Informatique) Congrès. Parallel processing (Electronic computers) Electronic books. Conference papers and proceedings |
| work_keys_str_mv | AT parco2019pragueczechrepublic parallelcomputingtechnologytrends AT fosterian parallelcomputingtechnologytrends AT joubertgr parallelcomputingtechnologytrends AT kuceraludek parallelcomputingtechnologytrends AT nagelwolfgange parallelcomputingtechnologytrends AT petersfj parallelcomputingtechnologytrends |