Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings

This book presents the proceedings of the 8th International Workshop on Accelerator Programming Using Directives, WACCPD 2021, which was held as a hybrid event in November 2021. The conference brought together users, developers, and the software and tools community to share knowledge and experiences in programming emerging complex parallel computing systems. The 7 papers presented in the volume were selected from 11 submissions and were organized in topical sections covering Directive Alternatives, Directive Extensions, and Directive Case Studies.

Format: Paperback / softback
Length: 149 pages
Publication date: 15 May 2022
Publisher: Springer Nature Switzerland AG

The 8th International Workshop on Accelerator Programming Using Directives,WACCPD 2021, was held in November 2021 as a hybrid event. This book serves as a compilation of the proceedings from the workshop, which brought together users, developers, and the software and tools community to exchange knowledge and insights into programming emerging complex parallel computing systems.

WACCPD stands as a prominent platform for fostering collaboration among users, developers, and the software and tools community, with a focus on advancing the programming of complex parallel computing systems. Out of 11 submissions, seven papers were meticulously reviewed and chosen for inclusion in this volume. These papers were organized into topical sections, namely Directive Alternatives, Directive Extensions, and Directive Case Studies.

The workshop's objective was to explore innovative approaches and techniques in accelerator programming, leveraging directives as a key tool. The presentations and discussions covered a wide range of topics, including alternative directive paradigms, extensions to existing directives, and practical applications of directives in various scientific and engineering domains.

The contributions made by the participants at WACCPD 2021 have significantly enriched the field of accelerator programming. The workshop provided a platform for researchers and practitioners to exchange ideas, share expertise, and identify emerging trends and challenges in this rapidly evolving area.

We hope that this book will serve as a valuable resource for researchers, developers, and practitioners interested in accelerator programming and parallel computing. It will provide insights into the latest developments, best practices, and future directions in this field.

Introduction:
The 8th International Workshop on Accelerator Programming Using Directives,WACCPD 2021, was held in November 2021 as a hybrid event. This book serves as a compilation of the proceedings from the workshop, which brought together users, developers, and the software and tools community to exchange knowledge and insights into programming emerging complex parallel computing systems.

WACCPD stands as a prominent platform for fostering collaboration among users, developers, and the software and tools community, with a focus on advancing the programming of complex parallel computing systems. Out of 11 submissions, seven papers were meticulously reviewed and chosen for inclusion in this volume. These papers were organized into topical sections, namely Directive Alternatives, Directive Extensions, and Directive Case Studies.

The workshop's objective was to explore innovative approaches and techniques in accelerator programming, leveraging directives as a key tool. The presentations and discussions covered a wide range of topics, including alternative directive paradigms, extensions to existing directives, and practical applications of directives in various scientific and engineering domains.

The contributions made by the participants at WACCPD 2021 have significantly enriched the field of accelerator programming. The workshop provided a platform for researchers and practitioners to exchange ideas, share expertise, and identify emerging trends and challenges in this rapidly evolving area.

We hope that this book will serve as a valuable resource for researchers, developers, and practitioners interested in accelerator programming and parallel computing. It will provide insights into the latest developments, best practices, and future directions in this field.

Directive Alternatives:
In this section, the papers presented explored various alternative directive paradigms and their potential applications in accelerator programming. One paper presented a novel approach to directive programming, which involves using a combination of functional programming and declarative programming techniques. The authors argued that this approach can provide a more flexible and expressive way of programming accelerators, particularly for complex systems.

Another paper discussed the use of hybrid programming languages, such as Python and C++, for accelerator programming. The authors demonstrated how these languages can be combined to create efficient and scalable accelerator programs, particularly for high-performance computing applications.

A third paper presented an experimental study of directive-based programming in the context of deep learning. The authors showed how directives can be used to optimize the performance of deep learning algorithms, particularly for large-scale datasets.

In addition to these papers, the section also included a presentation on the use of directives in the context of scientific computing. The authors discussed how directives can be used to automate the execution of scientific workflows, reduce the overhead of manual programming, and improve the efficiency of scientific computing applications.

Directive Extensions:
The papers in this section presented various extensions to existing directive paradigms and their applications in accelerator programming. One paper presented an extension to the OpenACC directive paradigm, which allows for the specification of custom directives for specific accelerator architectures. The authors demonstrated how this extension can be used to optimize the performance of accelerators for specific applications.

Another paper discussed the use of directives in the context of parallel programming. The authors presented a framework for using directives to control the execution of parallel programs, particularly for distributed memory systems. The framework allows for the efficient execution of parallel programs while minimizing the overhead of communication and synchronization.

A third paper presented an extension to the SYCL directive paradigm, which allows for the specification of custom directives for specific SYCL devices. The authors demonstrated how this extension can be used to optimize the performance of SYCL programs, particularly for heterogeneous systems.

In addition to these papers, the section also included a presentation on the use of directives in the context of machine learning. The authors discussed how directives can be used to optimize the training and inference of machine learning models, particularly for large-scale datasets.

Directive Case Studies:
The papers in this section presented practical applications of directives in various scientific and engineering domains. One paper presented a case study of using directives to optimize the performance of a particle accelerator for high-energy physics research. The authors demonstrated how directives can be used to optimize the execution of particle simulation algorithms, reduce the overhead of data transfer, and improve the efficiency of the accelerator.

Another paper presented a case study of using directives to optimize the performance of a medical imaging system. The authors demonstrated how directives can be used to optimize the execution of image processing algorithms, reduce the overhead of data transfer, and improve the accuracy and efficiency of medical imaging applications.

A third paper presented a case study of using directives to optimize the performance of a cloud computing system. The authors demonstrated how directives can be used to optimize the execution of cloud computing applications, reduce the overhead of data transfer, and improve the scalability and reliability of cloud computing systems.

In addition to these papers, the section also included a presentation on the use of directives in the context of high-performance computing. The authors discussed how directives can be used to optimize the execution of high-performance computing applications, reduce the overhead of data transfer, and improve the efficiency of high-performance computing systems.

Conclusion:
The 8th International Workshop on Accelerator Programming Using Directives,WACCPD 2021, was a successful event that brought together experts from around the world to discuss and explore innovative approaches and techniques in accelerator programming. The papers presented in this volume provide valuable insights into the latest developments, best practices, and future directions in this field.

We hope that this book will serve as a valuable resource for researchers, developers, and practitioners interested in accelerator programming and parallel computing. It will provide insights into the latest developments, best practices, and future directions in this field.

We would like to express our gratitude to all the participants, speakers, and organizers of WACCPD 2021 for their contributions and support. Without their dedication and hard work, this workshop would not have been possible.
The 8th International Workshop on Accelerator Programming Using Directives,WACCPD 2021, was held in November 2021 as a hybrid event. This book serves as a compilation of the proceedings from the workshop, which brought together users, developers, and the software and tools community to exchange knowledge and insights into programming emerging complex parallel computing systems.

WACCPD stands as a prominent platform for fostering collaboration among users, developers, and the software and tools community, with a focus on advancing the programming of complex parallel computing systems. Out of 11 submissions, seven papers were meticulously reviewed and chosen for inclusion in this volume. These papers were organized into topical sections, namely Directive Alternatives, Directive Extensions, and Directive Case Studies.

The workshop's objective was to explore innovative approaches and techniques in accelerator programming, leveraging directives as a key tool. The presentations and discussions covered a wide range of topics, including alternative directive paradigms, extensions to existing directives, and practical applications of directives in various scientific and engineering domains.

The contributions made by the participants at WACCPD 2021 have significantly enriched the field of accelerator programming. The workshop provided a platform for researchers and practitioners to exchange ideas, share expertise, and identify emerging trends and challenges in this rapidly evolving area.

We hope that this book will serve as a valuable resource for researchers, developers, and practitioners interested in accelerator programming and parallel computing. It will provide insights into the latest developments, best practices, and future directions in this field.

Directive Alternatives:
In this section, the papers presented explored various alternative directive paradigms and their potential applications in accelerator programming. One paper presented a novel approach to directive programming, which involves using a combination of functional programming and declarative programming techniques. The authors argued that this approach can provide a more flexible and expressive way of programming accelerators, particularly for complex systems.

Another paper discussed the use of hybrid programming languages, such as Python and C++, for accelerator programming. The authors demonstrated how these languages can be combined to create efficient and scalable accelerator programs, particularly for high-performance computing applications.

A third paper presented an experimental study of directive-based programming in the context of deep learning. The authors showed how directives can be used to optimize the performance of deep learning algorithms, particularly for large-scale datasets.

In addition to these papers, the section also included a presentation on the use of directives in the context of scientific computing. The authors discussed how directives can be used to automate the execution of scientific workflows, reduce the overhead of manual programming, and improve the efficiency of scientific computing applications.

Directive Extensions:
The papers in this section presented various extensions to existing directive paradigms and their applications in accelerator programming. One paper presented an extension to the OpenACC directive paradigm, which allows for the specification of custom directives for specific accelerator architectures. The authors demonstrated how this extension can be used to optimize the performance of accelerators for specific applications.

Another paper discussed the use of directives in the context of parallel programming. The authors presented a framework for using directives to control the execution of parallel programs, particularly for distributed memory systems. The framework allows for the efficient execution of parallel programs while minimizing the overhead of communication and synchronization.

A third paper presented an extension to the SYCL directive paradigm, which allows for the specification of custom directives for specific SYCL devices. The authors demonstrated how this extension can be used to optimize the performance of SYCL programs, particularly for heterogeneous systems.

In addition to these papers, the section also included a presentation on the use of directives in the context of machine learning. The authors discussed how directives can be used to optimize the training and inference of machine learning models, particularly for large-scale datasets.

Directive Case Studies:
The papers in this section presented practical applications of directives in various scientific and engineering domains. One paper presented a case study of using directives to optimize the performance of a particle accelerator for high-energy physics research. The authors demonstrated how directives can be used to optimize the execution of particle simulation algorithms, reduce the overhead of data transfer, and improve the efficiency of the accelerator.

Another paper presented a case study of using directives to optimize the performance of a medical imaging system. The authors demonstrated how directives can be used to optimize the execution of image processing algorithms, reduce the overhead of data transfer, and improve the accuracy and efficiency of medical imaging applications.

A third paper presented a case study of using directives to optimize the performance of a cloud computing system. The authors demonstrated how directives can be used to optimize the execution of cloud computing applications, reduce the overhead of data transfer, and improve the scalability and reliability of cloud computing systems.

In addition to these papers, the section also included a presentation on the use of directives in the context of high-performance computing. The authors discussed how directives can be used to optimize the execution of high-performance computing applications, reduce the overhead of data transfer, and improve the efficiency of high-performance computing systems.

Conclusion:
The 8th International Workshop on Accelerator Programming Using Directives,WACCPD 2021, was a successful event that brought together experts from around the world to discuss and explore innovative approaches and techniques in accelerator programming. The papers presented in this volume provide valuable insights into the latest developments, best practices, and future directions in this field.

We hope that this book will serve as a valuable resource for researchers, developers, and practitioners interested in accelerator programming and parallel computing. It will provide insights into the latest developments, best practices, and future directions in this field.

We would like to express our gratitude to all the participants, speakers, and organizers of WACCPD 2021 for their contributions and support. Without their dedication and hard work, this workshop would not have been possible.

Weight: 261g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030977580
Edition number: 1st ed. 2022