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Electronic structure calculations on graphics processing units : from quantum chemistry to condensed matter physics / / Ross C. Walker and Andreas W. Goetz, editors
Electronic structure calculations on graphics processing units : from quantum chemistry to condensed matter physics / / Ross C. Walker and Andreas W. Goetz, editors
Pubbl/distr/stampa West Sussex, England : , : Wiley, , 2016
Descrizione fisica 1 online resource (448 p.)
Disciplina 621.39/96
Soggetto topico Electronic structure - Computer simulation
Electronic structure - Mathematical models
Graphics processing units - Programming
Mathematical physics
ISBN 1-118-67070-1
1-118-67071-X
1-118-67069-8
Classificazione SCI013050
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title Page; Copyright; Table of Contents; List of Contributors; Preface; Acknowledgments; Glossary; Abbreviations - Scientific; Abbreviations - Technical; Chapter 1: Why Graphics Processing Units; 1.1 A Historical Perspective of Parallel Computing; 1.2 The Rise of the GPU; 1.3 Parallel Computing on Central Processing Units; 1.4 Parallel Computing on Graphics Processing Units; 1.5 GPU-Accelerated Applications; References; Chapter 2: GPUs: Hardware to Software; 2.1 Basic GPU Terminology; 2.2 Architecture of GPUs; 2.3 CUDA Programming Model; 2.4 Programming and Optimization Concepts
2.5 Software Libraries for GPUs2.6 Special Features of CUDA-Enabled GPUs; References; Chapter 3: Overview of Electronic Structure Methods; 3.1 Introduction; 3.2 Hartree-Fock Theory; 3.3 Density Functional Theory; 3.4 Basis Sets; 3.5 Semiempirical Methods; 3.6 Density Functional Tight Binding; 3.7 Wave Function-Based Electron Correlation Methods; Acknowledgments; References; Chapter 4: Gaussian Basis Set Hartree-Fock, Density Functional Theory, and Beyond on GPUs; 4.1 Quantum Chemistry Review; 4.2 Hardware and CUDA Overview; 4.3 GPU ERI Evaluation; 4.4 Integral-Direct Fock Construction on GPUs
4.5 Precision Considerations4.6 Post-SCF Methods; 4.7 Example Calculations; 4.8 Conclusions and Outlook; References; Chapter 5: GPU Acceleration for Density Functional Theory with Slater-Type Orbitals; 5.1 Background; 5.2 Theory and CPU Implementation; 5.3 GPU Implementation; 5.4 Conclusion; References; Chapter 6: Wavelet-Based Density Functional Theory on Massively Parallel Hybrid Architectures; 6.1 Introductory Remarks on Wavelet Basis Sets for Density Functional Theory Implementations; 6.2 Operators in Wavelet Basis Sets; 6.3 Parallelization; 6.4 GPU Architecture
6.5 Conclusions and OutlookReferences; Chapter 7: Plane-Wave Density Functional Theory; 7.1 Introduction; 7.2 Theoretical Background; 7.3 Implementation; 7.4 Optimizations; 7.5 Performance Examples; 7.6 Exact Exchange with Plane Waves; 7.7 Summary and Outlook; 7.8 Acknowledgments; References; Appendix A: Definitions and Conventions; Appendix B: Example Kernels; Chapter 8: GPU-Accelerated Sparse Matrix-Matrix Multiplication for Linear Scaling Density Functional Theory; 8.1 Introduction; 8.2 Software Architecture for GPU-Acceleration; 8.3 Maximizing Asynchronous Progress
8.4 Libcusmm: GPU Accelerated Small Matrix Multiplications8.5 Benchmarks and Conclusions; Acknowledgments; References; Chapter 9: Grid-Based Projector-Augmented Wave Method; 9.1 Introduction; 9.2 General Overview; 9.3 Using GPUs in Ground-State Calculations; 9.4 Time-Dependent Density Functional Theory; 9.5 Random Phase Approximation for the Correlation Energy; 9.6 Summary and Outlook; Acknowledgments; References; Chapter 10: Application of Graphics Processing Units to Accelerate Real-Space Density Functional Theory and Time-Dependent Density Functional Theory Calculations; 10.1 Introduction
10.2 The Real-Space Representation
Record Nr. UNINA-9910136420103321
West Sussex, England : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Electronic structure calculations on graphics processing units : from quantum chemistry to condensed matter physics / / Ross C. Walker and Andreas W. Goetz, editors
Electronic structure calculations on graphics processing units : from quantum chemistry to condensed matter physics / / Ross C. Walker and Andreas W. Goetz, editors
Pubbl/distr/stampa West Sussex, England : , : Wiley, , 2016
Descrizione fisica 1 online resource (448 p.)
Disciplina 621.39/96
Soggetto topico Electronic structure - Computer simulation
Electronic structure - Mathematical models
Graphics processing units - Programming
Mathematical physics
ISBN 1-118-67070-1
1-118-67071-X
1-118-67069-8
Classificazione SCI013050
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title Page; Copyright; Table of Contents; List of Contributors; Preface; Acknowledgments; Glossary; Abbreviations - Scientific; Abbreviations - Technical; Chapter 1: Why Graphics Processing Units; 1.1 A Historical Perspective of Parallel Computing; 1.2 The Rise of the GPU; 1.3 Parallel Computing on Central Processing Units; 1.4 Parallel Computing on Graphics Processing Units; 1.5 GPU-Accelerated Applications; References; Chapter 2: GPUs: Hardware to Software; 2.1 Basic GPU Terminology; 2.2 Architecture of GPUs; 2.3 CUDA Programming Model; 2.4 Programming and Optimization Concepts
2.5 Software Libraries for GPUs2.6 Special Features of CUDA-Enabled GPUs; References; Chapter 3: Overview of Electronic Structure Methods; 3.1 Introduction; 3.2 Hartree-Fock Theory; 3.3 Density Functional Theory; 3.4 Basis Sets; 3.5 Semiempirical Methods; 3.6 Density Functional Tight Binding; 3.7 Wave Function-Based Electron Correlation Methods; Acknowledgments; References; Chapter 4: Gaussian Basis Set Hartree-Fock, Density Functional Theory, and Beyond on GPUs; 4.1 Quantum Chemistry Review; 4.2 Hardware and CUDA Overview; 4.3 GPU ERI Evaluation; 4.4 Integral-Direct Fock Construction on GPUs
4.5 Precision Considerations4.6 Post-SCF Methods; 4.7 Example Calculations; 4.8 Conclusions and Outlook; References; Chapter 5: GPU Acceleration for Density Functional Theory with Slater-Type Orbitals; 5.1 Background; 5.2 Theory and CPU Implementation; 5.3 GPU Implementation; 5.4 Conclusion; References; Chapter 6: Wavelet-Based Density Functional Theory on Massively Parallel Hybrid Architectures; 6.1 Introductory Remarks on Wavelet Basis Sets for Density Functional Theory Implementations; 6.2 Operators in Wavelet Basis Sets; 6.3 Parallelization; 6.4 GPU Architecture
6.5 Conclusions and OutlookReferences; Chapter 7: Plane-Wave Density Functional Theory; 7.1 Introduction; 7.2 Theoretical Background; 7.3 Implementation; 7.4 Optimizations; 7.5 Performance Examples; 7.6 Exact Exchange with Plane Waves; 7.7 Summary and Outlook; 7.8 Acknowledgments; References; Appendix A: Definitions and Conventions; Appendix B: Example Kernels; Chapter 8: GPU-Accelerated Sparse Matrix-Matrix Multiplication for Linear Scaling Density Functional Theory; 8.1 Introduction; 8.2 Software Architecture for GPU-Acceleration; 8.3 Maximizing Asynchronous Progress
8.4 Libcusmm: GPU Accelerated Small Matrix Multiplications8.5 Benchmarks and Conclusions; Acknowledgments; References; Chapter 9: Grid-Based Projector-Augmented Wave Method; 9.1 Introduction; 9.2 General Overview; 9.3 Using GPUs in Ground-State Calculations; 9.4 Time-Dependent Density Functional Theory; 9.5 Random Phase Approximation for the Correlation Energy; 9.6 Summary and Outlook; Acknowledgments; References; Chapter 10: Application of Graphics Processing Units to Accelerate Real-Space Density Functional Theory and Time-Dependent Density Functional Theory Calculations; 10.1 Introduction
10.2 The Real-Space Representation
Record Nr. UNINA-9910816354503321
West Sussex, England : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui