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Based on an extraordinary collaboration between Steve Forbes, chairman, CEO, and editor in chief of Forbes Media, and classics professor John Prevas, Power Ambition Glory provides intriguing comparisons between six great leaders of the ancient world and contemporary business leaders. • Great leaders not only have vision but know how to build structures to effect it. Cyrus the Great did so in creating an empire based on tolerance and inclusion, an approach highly unusual for his or any age. Jack Welch and John Chambers built their business empires using a similar approach, and like Cyrus, they remain the exceptions rather than the rule. • Great leaders know how to build consensus and motivate by doing what is right rather than what is in their self-interest. Xenophon put personal gain aside to lead his fellow Greeks out of a perilous situation in Persia–something very similar to what Lou Gerstner and Anne Mulcahy did in rescuing IBM and Xerox. • Character matters in leadership. Alexander the Great had exceptional leadership skills that enabled him to conquer the eastern half of the ancient world, but he was ultimately destroyed by his inability to manage his phenomenal success. The corporate world is full of similar examples, such as the now incarcerated Dennis Kozlowski, who, flush with success at the head of his empire, was driven down the highway of self-destruction by an out-of-control ego. • A great leader is one who challenges the conventional wisdom of the day and is able to think out of the box to pull off amazing feats. Hannibal did something no one in the ancient world thought possible; he crossed the Alps in winter to challenge Rome for control of the ancient world. That same innovative way of thinking enabled Serge Brin and Larry Page of Google to challenge and best two formidable competitors, Microsoft and Yahoo! • A leader must have ambition to succeed, and Julius Caesar had plenty of it. He set Rome on the path to empire, but his success made him believe he was a living god and blinded him to the dangers that eventually did him in. The parallels with corporate leaders and Wall Street master-of-the-universe types are numerous, but none more salient than Hank Greenberg, who built the AIG insurance empire only to be struck down at the height of his success by the corporate daggers of his directors. • And finally, leadership is about keeping a sane and modest perspective in the face of success and remaining focused on the fundamentals–the nuts and bolts of making an organization work day in and day out. Augustus saved Rome from dissolution after the assassination of Julius Caesar and ruled it for more than forty years, bringing the empire to the height of its power. What made him successful were personal humility, attention to the mundane details of building and maintaining an infrastructure, and the understanding of limits. Augustus set Rome on a course of prosperity and stability that lasted for centuries, just as Alfred Sloan, using many of the same approaches, built GM into the leviathan that until recently dominated the automotive business.
This textbook introduces methods of accelerating transient stability (dynamic) simulation and electromagnetic transient simulation on massively parallel processors for large-scale AC-DC grids – two of the most common and computationally onerous studies done by energy control centers and research laboratories for the planning, design, and operation of such integrated grids for ensuring the security and reliability of electric power. Simulation case studies provided in the book range from small didactic test circuits to realistic-sized AC-DC grids, and special emphasis is placed on detailed device-level multi-physics models for power system equipment and decomposition techniques for simulating large-scale systems. Parallel Dynamic and Transient Simulation of Large-Scale Power Systems: A High Performance Computing Solution is a comprehensive state-of-the-art guide for upper-level undergraduate and graduate students in power systems engineering. Practicing engineers, software developers, and scientists working in the power and energy industry will find it to be a timely and valuable reference for solving potential problems in their design and development activities. Detailed device-level electro-thermal modeling for power electronic systems in DC grids; Provides comprehensive dynamic and transient simulation of integrated large-scale AC-DC grids; Offers detailed models of renewable energy system models.
From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and FPGAs Free Programmable Gate Array to build parallel computers with a wide spectrum of high-speed processing functions. The scale of this powerful hardware is limited only by factors such as energy consumption and thermal control. However, in addition to"
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
This book introduces the state-of-the-art in research in parallel and distributed embedded systems, which have been enabled by developments in silicon technology, micro-electro-mechanical systems (MEMS), wireless communications, computer networking, and digital electronics. These systems have diverse applications in domains including military and defense, medical, automotive, and unmanned autonomous vehicles. The emphasis of the book is on the modeling and optimization of emerging parallel and distributed embedded systems in relation to the three key design metrics of performance, power and dependability. Key features: Includes an embedded wireless sensor networks case study to help illustrate the modeling and optimization of distributed embedded systems. Provides an analysis of multi-core/many-core based embedded systems to explain the modeling and optimization of parallel embedded systems. Features an application metrics estimation model; Markov modeling for fault tolerance and analysis; and queueing theoretic modeling for performance evaluation. Discusses optimization approaches for distributed wireless sensor networks; high-performance and energy-efficient techniques at the architecture, middleware and software levels for parallel multicore-based embedded systems; and dynamic optimization methodologies. Highlights research challenges and future research directions. The book is primarily aimed at researchers in embedded systems; however, it will also serve as an invaluable reference to senior undergraduate and graduate students with an interest in embedded systems research.
The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.
Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours--or even days--of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technology Modern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you''re done, you''ll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what''s inside Steps for planning a new parallel project Choosing the right data structures and algorithms Addressing underperforming kernels and loops The differences in CPU and GPU architecture about the reader For experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.