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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.
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.
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.
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.
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.
Human Cancer Diagnosis and Detection Using Exascale Computing The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.
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.
John Mauchly, J. Presper Eckert, Jr., and their team built ENIAC (Electronic Numerical Integrator and Computer) in 1946, the first modern stored-program electronic computer. They built it primarily to design weapons during the Second World War. Since then, computers have entered every facet of our daily life. Nowadays, we use computers extensively to process data in banks, government offices, and commercial establishments. We use them to book train tickets, airline tickets, and hotel rooms. They control systems such as satellites and moon landers in real-time. They create complex graphics and animation. They synthesize speech and music. They write essays and draw pictures. They control Robots. Publishers use them as tools. They are used to play video games. Many devices, such as audio and video tape recorders and film cameras, have died and been replaced by digital devices. They have eliminated many jobs, such as type-setters, and created new jobs, such as programmers, requiring better skills. It is fascinating to trace this history. This book recounts the history of modern computing as a sequence of seventy-two anecdotes, beginning with how engineers at the University of Pennsylvania built the modern stored program computer ENIAC in 1946 and ends with the story of the evolution of ChatGPT and Gemini, the generative large language model neural network released between 2022 and 2024 that give natural language answers to natural language questions, write essays, compose poems, and write computer programs. The anecdotes in this book are short. Each anecdote is between 1500 and 2500 words and recounts the story of an important invention in the evolution of modern computing and the people who innovated. There are seventy-two anecdotes in this book. The anecdotes cover the history of computer hardware, software, applications, computer communications, and artificial intelligence. The set of anecdotes on hardware systems describes, among others, the history of the evolution of computers, such as the IBM 701, CDC 6600, IBM 360 family, Digital Equipment Corporation's PDP series, Apple – the early personal computer, and Atlas – a pioneering British computer, IBM PC, Connection Machine, Cray series supercomputers, computing cluster Beowulf, IBM Roadrunner – the fastest and the most expensive ($ 600 million) computer in the World in 2022, Raspberry Pi – the cheapest ($35) computer. The group of anecdotes on software describes the evolution of Fortran, COBOL, BASIC, Compatible Time-shared systems, Unix, CP/M OS, MS-DOS, Project MAC, and open-source software movement, among others. Some anecdotes are on computer applications, such as Data Base Management Systems (DBMS), spreadsheets, cryptography, and Global Positioning Systems (GPS). The anecdotes on computer communications recount the evolution of computer communication networks, such as ALOHAnet, Ethernet, ARPANET, and the Internet, among others. The anecdotes on Artificial Intelligence (AI) start with "Who coined the word Artificial Intelligence?" and recounts early chess-playing programs, the evolution of neural networks, Expert Systems, and the history of chatbots and Robots. These anecdotes are similar to a short story collection. A reader may read them in any order. Each anecdote is self-contained, and readers may read the one that interests them. The language used in the book is simple, with no jargon. Anyone with a high school education can understand the material in this book. KEY FEATURES • The book recounts the history of modern computing as a series of 72 anecdotes • Each anecdote tells the story of an important event in the history of computing • Each anecdote describes an invention and those who invented • Each anecdote is self-contained and may be read in any order • Suitable for a general reader with a high school education TARGET AUDIENCE • Students Pursuing Computer Science & IT Courses • IT Professionals • 10+2 students