Computer architecture and logic design

Rapid energy estimation for energy efficient applications using field-programmable gate arrays (FPGAs) remains a challenging research topic.

Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge.

Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms.

Recent years have witnessed the rise of analysis of real-world massive and complex phenomena in graphs; to efficiently solve these large-scale graph problems, it is necessary to exploit high performance computing (HPC), which accelerates the innovation process for discovery and invention of new products and procedures in network science.

The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments.

This textbook unlocks modern computer organizations' secrets, with real-world examples from RISC-V, ARM, and Intel-based computer systems.

Since the publication of the first edition of The Designer's Guide to VHDL in 1996, digital electronic systems have increased exponentially in their complexity, product lifetimes have dramatically shrunk, and reliability requirements have shot through the roof.

Focusing on the use of the UEFI Shell and its recently released formal specification, this book unlocks a wide range of usage models which can help people best utilize the shell solutions.

Focusing on the use of the UEFI Shell and its recently released formal specification, this book unlocks a wide range of usage models which can help people best utilize the shell solutions.

Not only does almost everyone in the civilized world use a personal computer, smartphone, and/or tablet on a daily basis to communicate with others and access information, but virtually every other modern appliance, vehicle, or other device has one or more computers embedded inside it.

Not only does almost everyone in the civilized world use a personal computer, smartphone, and/or tablet on a daily basis to communicate with others and access information, but virtually every other modern appliance, vehicle, or other device has one or more computers embedded inside it.

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing.

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs.

The predominant language used in embedded microprocessors, assembly language lets you write programs that are typically faster and more compact than programs written in a high-level language and provide greater control over the program applications.

Fast Solvers for Mesh-Based Computations presents an alternative way of constructing multi-frontal direct solver algorithms for mesh-based computations.

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures.

In this era where data and voice services are available at a push of a button, service providers have virtually limitless options for reaching their customers with value-added services.

Any organization with valuable data has been or will be attacked, probably successfully, at some point and with some damage.

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula.

Reconfigurable computing techniques and adaptive systems are some of the most promising architectures for microprocessors.

This title includes a number of Open Access chapters.

HPC is used to solve a number of complex questions in computational and data-intensive sciences.

This book provides a comprehensive overview of key technologies being used to address challenges raised by continued device scaling and the extending gap between memory and central processing unit performance.

This book provides comprehensive coverage of the recent advances in symbolic analysis techniques for design automation of nanometer VLSI systems.

This book introduces the concept of autonomic computing driven cooperative networked system design from an architectural perspective.

Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source.

Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source.

Making significant changes to large, complex codebases is a daunting task--one that's nearly impossible to do successfully unless you have the right team, tools, and mindset.

Making significant changes to large, complex codebases is a daunting task--one that's nearly impossible to do successfully unless you have the right team, tools, and mindset.

If youre among the Python developers put off by asyncios complexity, its time to take another look.

If youre among the Python developers put off by asyncios complexity, its time to take another look.

Bring agility, cost savings, and a competitive edge to your business by migrating your IT infrastructure to AWS.

Bring agility, cost savings, and a competitive edge to your business by migrating your IT infrastructure to AWS.

Imagine what you could do if scalability wasn't a problem.

Imagine what you could do if scalability wasn't a problem.

Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach.

Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach.

What value does semantic data modeling offer?

What value does semantic data modeling offer?

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers.

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers.

Technologists who want their ideas heard, understood, and funded are often told to speak the language of business?

Technologists who want their ideas heard, understood, and funded are often told to speak the language of business?

While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.

While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.