Frontier Supercomputer
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| Author | : StoryBuddiesPlay |
| Publisher | : StoryBuddiesPlay |
| Total Pages | : 96 |
| Release | : 2024-05-19 |
| Genre | : Computers |
| ISBN | : |
Frontier: A Revolution in Scientific Computing - Unveiling the Potential of the Exascale Era Frontier, the world's first exascale supercomputer, has ushered in a new era of scientific discovery. This marvel of engineering, housed at the Oak Ridge Leadership Computing Facility (OLCF), boasts a processing power exceeding one quintillion calculations per second. This immense capability is revolutionizing numerous scientific fields, from simulating complex molecules for drug discovery to modeling the formation of galaxies. This comprehensive guide delves into the many facets of Frontier and its impact on the scientific landscape. Here's a glimpse of what you'll discover: Frontier's Applications: Explore how Frontier empowers researchers across diverse disciplines, including medicine, materials science, cosmology, climate modeling, and energy production. The Power of AI and Machine Learning: Witness how Frontier accelerates advancements in AI and machine learning, leading to breakthroughs in areas like natural language processing, computer vision, and robotics. Open Science for Global Collaboration: Learn about ORNL's commitment to open science, ensuring global access to Frontier's computing power and fostering international research collaboration. A Look Ahead: The Future of Supercomputing: Peer beyond the exascale horizon and explore the exciting possibilities of zettascale computing and the potential integration of quantum technologies. The Challenges and Ethics of Exascale Computing: Consider the critical discussions surrounding responsible use, equitable access, and the environmental footprint of these powerful machines. Frontier's story extends beyond the technical specifications. This guide explores the human element behind this groundbreaking achievement, highlighting the researchers who utilize Frontier's power and the intricate process for accessing this remarkable resource. Whether you're a scientist, a tech enthusiast, or simply curious about the future of scientific exploration, this guide offers a compelling exploration of Frontier and its transformative impact on our world. Dive deeper into the chapters and discover the secrets being unlocked with the world's first exascale supercomputer.
| Author | : Alexis Espinosa |
| Publisher | : Springer Nature |
| Total Pages | : 230 |
| Release | : |
| Genre | : |
| ISBN | : 3031725670 |
| Author | : Thomas Sterling |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 537 |
| Release | : 2024-09-19 |
| Genre | : Computers |
| ISBN | : 032390212X |
Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA. - Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators, and big data problems - Provides numerous examples that explore the basics of supercomputing while also providing practical training in the real use of high-end computers - Helps users with informative and practical examples that build knowledge and skills through incremental steps - Features sidebars of background and context to present a live history and culture of this unique field
| Author | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 276 |
| Release | : 2022-07-10 |
| Genre | : Technology & Engineering |
| ISBN | : |
What Is Exascale Computing Exascale computing is a measurement of the capability of supercomputers; it refers to computing systems that are capable of calculating at least "1018 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exaFLOP)." How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Exascale computing Chapter 2: Supercomputer Chapter 3: FLOPS Chapter 4: National Energy Research Scientific Computing Center Chapter 5: TOP500 Chapter 6: Performance per watt Chapter 7: Green500 Chapter 8: Petascale computing Chapter 9: List of fastest computers Chapter 10: Manycore processor Chapter 11: Supercomputing in India Chapter 12: K computer Chapter 13: Supercomputing in Japan Chapter 14: Supercomputing in Europe Chapter 15: Xeon Phi Chapter 16: Summit (supercomputer) Chapter 17: Frontier (supercomputer) Chapter 18: Fugaku (supercomputer) Chapter 19: Fujitsu A64FX Chapter 20: Aurora (supercomputer) Chapter 21: JUWELS (II) Answering the public top questions about exascale computing. (III) Real world examples for the usage of exascale computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of exascale computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of exascale computing.
| Author | : Edson Borin |
| Publisher | : Springer Nature |
| Total Pages | : 337 |
| Release | : 2023-07-05 |
| Genre | : Computers |
| ISBN | : 3031297695 |
This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components and aspects necessary to train these models via different types of services offered by cloud providers. Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.
| Author | : Robert H. Chen |
| Publisher | : CRC Press |
| Total Pages | : 339 |
| Release | : 2024-09-25 |
| Genre | : Computers |
| ISBN | : 1040119077 |
Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and computer science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. Features Only mathematical prerequisite is an elementary knowledge of calculus. Accessible to anyone with an interest in AI and its mathematics and computer science. Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence. New to the Second Edition Fully revised and corrected throughout to bring the material up-to-date. Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition. Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.
| Author | : Susu Nousala |
| Publisher | : Springer Nature |
| Total Pages | : 201 |
| Release | : |
| Genre | : |
| ISBN | : 9819997305 |
| Author | : Lee Riedinger |
| Publisher | : Univ. of Tennessee Press |
| Total Pages | : 496 |
| Release | : 2024-06-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1621906558 |
The bombing of Pearl Harbor set off a chain of events that included the race to beat German scientists to build the atomic bomb. A tiny hamlet tucked away in the southern Appalachians proved an unlikely linchpin to win the race. The Manhattan Project required the combination of four secret sites—Clinton Laboratories, Y-12, K-25, and S-50—75,000 workers, and the nation’s finest scientists to create the Secret City, Oak Ridge. From the beginning, the effort was aided by the nearby University of Tennessee, which provided expertise to make the weapon possible. Following World War II, it was not clear what role this huge research and development program would play, but pioneering scientists and administrators were determined that one option—dismantling the whole thing—would not happen. Critical Connections chronicles how Oak Ridge National Laboratory (ORNL), the Y-12 National Security Complex, and their partners became outstanding examples of the military-industrial-educational complex from the Cold War to the present day. At the beginning of the 1950s, Oak Ridge became a flourishing, less-secret city, and the authors show how, decade by decade, ORNL became the source of major breakthroughs in physics, biology, computing, and other fields—and how these achievements required ever-closer connections with UT. By the mid-1990s, after many successful joint initiatives between UT and ORNL, UT was poised to compete to become the manager of ORNL. In 2000, UT-Battelle LLC won the bid from the Department of Energy: UT was charged with providing scientific direction and key personnel; its partner Battelle would oversee ORNL’s operations and chart its technology direction. The authors highlight the scientific developments these connections have brought, from nanotechnology to nuclear fission, from cryogenic experiments on mice to the world’s fastest supercomputer. The partnerships between a university, a city, and federal facilities helped solve some of the greatest challenges of the twentieth century—and point toward how to deal with those of the twenty-first.
| Author | : United States. Congress. House. Committee on Science and Technology |
| Publisher | : |
| Total Pages | : 466 |
| Release | : 1984 |
| Genre | : Computer industry |
| ISBN | : |
| Author | : Hassan A. Karimi |
| Publisher | : CRC Press |
| Total Pages | : 410 |
| Release | : 2024-08-01 |
| Genre | : Computers |
| ISBN | : 1040090257 |
Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algorithms, and the availability of data in various domains, among other things, have aided in the automation of complex real-world tasks and decision-making that inherently rely on geospatial data. Of the many fields benefiting from these latest advancements, machine learning, particularly deep learning, virtual reality, and game engine, have increasingly gained the interest of many researchers and practitioners. This revised new edition provides up-to-date knowledge on the latest developments related to these three fields for solving geoinformatics problems. FEATURES Contains a comprehensive collection of advanced big data approaches, techniques, and technologies for geoinformatics problems Provides seven new chapters on deep learning models, algorithms, and structures, including a new chapter on how spatial metaverse is used to build immersive realistic virtual experiences Presents information on how deep learning is used for solving real-world geoinformatics problems This book is intended for researchers, academics, professionals, and students in such fields as computing and information, civil and environmental engineering, environmental sciences, geosciences, geology, geography, and urban studies.
