Power Ambition Glory

Power Ambition Glory
Author: Steve Forbes
Publisher: Crown Currency
Total Pages: 322
Release: 2010-06-01
Genre: Business & Economics
ISBN: 0307408450

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.

Parallel Computing

Parallel Computing
Author: Barbara Chapman
Publisher: IOS Press
Total Pages: 760
Release: 2010
Genre: Computers
ISBN: 1607505290

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"

Parallel Dynamic and Transient Simulation of Large-Scale Power Systems

Parallel Dynamic and Transient Simulation of Large-Scale Power Systems
Author: Venkata Dinavahi
Publisher: Springer Nature
Total Pages: 492
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 303086782X

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.

Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs
Author: Vivek Kale
Publisher: CRC Press
Total Pages: 407
Release: 2019-12-06
Genre: Computers
ISBN: 1351029215

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry. A basic trade-off exists between the use of one or a small number of such complex processors, at one extreme, and a moderate to very large number of simpler processors, at the other. When combined with a high-bandwidth, interprocessor communication facility leads to significant simplification of the design process. However, two major roadblocks prevent the widespread adoption of such moderately to massively parallel architectures: the interprocessor communication bottleneck, and the difficulty and high cost of algorithm/software development. One of the most important reasons for studying parallel computing architectures is to learn how to extract the best performance from parallel systems. Specifically, you must understand its architectures so that you will be able to exploit those architectures during programming via the standardized APIs. This book would be useful for analysts, designers and developers of high-throughput computing systems essential for big data stream processing emanating from IoT-driven cyber-physical systems (CPS). This pragmatic book: Devolves uniprocessors in terms of a ladder of abstractions to ascertain (say) performance characteristics at a particular level of abstraction Explains limitations of uniprocessor high performance because of Moore’s Law Introduces basics of processors, networks and distributed systems Explains characteristics of parallel systems, parallel computing models and parallel algorithms Explains the three primary categorical representatives of parallel computing architectures, namely, shared memory, message passing and stream processing Introduces the three primary categorical representatives of parallel programming APIs, namely, OpenMP, MPI and CUDA Provides an overview of Internet of Things (IoT), wireless sensor networks (WSN), sensor data processing, Big Data and stream processing Provides introduction to 5G communications, Edge and Fog computing Parallel Computing Architectures and APIs: IoT Big Data Stream Processing discusses stream processing that enables the gathering, processing and analysis of high-volume, heterogeneous, continuous Internet of Things (IoT) big data streams, to extract insights and actionable results in real time. Application domains requiring data stream management include military, homeland security, sensor networks, financial applications, network management, web site performance tracking, real-time credit card fraud detection, etc.

Handbook of Parallel Computing

Handbook of Parallel Computing
Author: Sanguthevar Rajasekaran
Publisher: CRC Press
Total Pages: 1224
Release: 2007-12-20
Genre: Computers
ISBN: 1420011294

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

Modeling and Optimization of Parallel and Distributed Embedded Systems

Modeling and Optimization of Parallel and Distributed Embedded Systems
Author: Arslan Munir
Publisher: John Wiley & Sons
Total Pages: 399
Release: 2016-02-08
Genre: Computers
ISBN: 1119086418

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.

Parallel Computing

Parallel Computing
Author: M. R. Bhujade
Publisher: New Age International
Total Pages: 42
Release: 2009
Genre: Computer systems
ISBN: 8122423876

Parallel Computing is Everywhere

Parallel Computing is Everywhere
Author: S. Bassini
Publisher: IOS Press
Total Pages: 852
Release: 2018-03-07
Genre: Computers
ISBN: 1614998434

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.