Widespread use of parallel processing will become a reality only if the process of porting applications to parallel computers can be largely automated.
Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu- nication into data structures.
High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts.
Distributed computer systems are now widely available but, despite a number of recent advances, the design of software for these systems remains a challenging task, involving two main difficulties: the absence of a shared clock and the absence of a shared memory.
Document Processing and Retrieval: TEXPROS focuses on the design and implementation of a personal, customizable office information and document processing system called TEXPROS (a TEXt PROcessing System).
Automatic Performance Prediction of Parallel Programs presents a unified approach to the problem of automatically estimating the performance of parallel computer programs.
Computers are currently used in a variety of critical applications, including systems for nuclear reactor control, flight control (both aircraft and spacecraft), and air traffic control.
Input/Output in Parallel and Distributed Computer Systems has attracted increasing attention over the last few years, as it has become apparent that input/output performance, rather than CPU performance, may be the key limiting factor in the performance of future systems.
Although asynchronous circuits date back to the early 1950s most of the digital circuits in use today are synchronous because, traditionally, asynchronous circuits have been viewed as difficult to understand and design.
Workstation and computer users have an ever increasing need for solutions that offer high performance, low cost, small footprints (space requirements), and ease of use.
This monograph is an outgrowth of the authors' recent research on the de- velopment of algorithms for several low-level vision problems using artificial neural networks.
With the massive and pervasive diffusion of robotics technology in our society, we are heading towards a new type of AI, which we call Physical AI at the intersection of Robotics with AI, that is the science of robots and intelligent machines performing a physical action to help humans in their jobs of daily lives.
Build a resilient, cloud-native foundation by tackling common anti-patterns head on with practical strategies, cultural shifts, and technical fixes across AWS, Azure, and GCPKey FeaturesIdentify common anti-patterns in agile cloud-native delivery and learn to adopt good habitsLearn high-performing cloud-native delivery with expert strategies and real-world examplesGet prescriptive guidance on how to spot and remediate anti-patterns in your organizationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSuccessfully transitioning to a cloud-native architecture demands more than just new tools-it requires a change in mindset.
Large IT organizations increasingly face the challenge of integrating various web services, applications, and other technologies into a single network.
Although you dont need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started.
Although you dont need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started.
