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In Memory Warp, Mark Pendergrast sounds a clarion call to stop the ongoing pseudoscience of “repressed memory therapy,” which has destroyed millions of families and continues to do so. In the 1990s, Pendergrast’s book Victims of Memory helped to debunk the repressed memory craze. Now, more than two decades later, he revisits the subject and proves that this form of “therapy” is still widespread, still destroying family relationships and causing false allegations of terrible crimes against innocent parents and caregivers. With meticulous research and captivating writing, Pendergrast brings coverage of this issue up to date.
General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs have distinctly higher degrees of hardware multithreading (hundreds of hardware thread contexts vs. tens), a return to wide vector units (several tens vs. 1-10), memory architectures that deliver higher peak memory bandwidth (hundreds of gigabytes per second vs. tens), and smaller caches/scratchpad memories (less than 1 megabyte vs. 1-10 megabytes). In this book, we provide a high-level overview of current GPGPU architectures and programming models. We review the principles that are used in previous shared memory parallel platforms, focusing on recent results in both the theory and practice of parallel algorithms, and suggest a connection to GPGPU platforms. We aim to provide hints to architects about understanding algorithm aspect to GPGPU. We also provide detailed performance analysis and guide optimizations from high-level algorithms to low-level instruction level optimizations. As a case study, we use n-body particle simulations known as the fast multipole method (FMM) as an example. We also briefly survey the state-of-the-art in GPU performance analysis tools and techniques. Table of Contents: GPU Design, Programming, and Trends / Performance Principles / From Principles to Practice: Analysis and Tuning / Using Detailed Performance Analysis to Guide Optimization
In the 1990s, a faddish pseudoscience, repressed memory theory, destroyed millions of American families by creating false memories of childhood sexual abuse. At the time, Mark Pendergrast published his widely acclaimed book Victims of Memory, exposing the false nature of the science and counseling techniques that were alienating teenagers and grown children from their families. In Memory Warp, Pendergrast revisits that subject, updating his research and describing where it stands now, in 2017. All notable scientific researchers in the field of memory now agree that repressed-memory theory is misguided and harmful--that the "memories" produced are false, and that those accused--mostly parents and other family members and caregivers--have suffered greatly from false allegations of horrible crimes against their own children. But does that mean that the scourge is now behind us? Unfortunately, no. The disproven theories of repressed memory continue to resurface throughout Amercan cultural life and, although usually more subtly, in the work of therapists. In this new book, Pendergrast provides a lively social history of our recent past, documenting how this incredible juggernaut of pseudoscience, which caused so much harm, came to be. But more importantly, the book also shows how these misguided theories continue to fester. And how, if we fail to learn from the lurid history of this movement, we may face another outbreak. Many authoritative books have have appeared on this subject over the years, including those of memory researchers who have confirmed Pendergrast's conclusions. But Memory Warp is the first to describe the threat that continues to exist today.
The computing world is in the middle of a revolution: mobile clients and cloud computing have emerged as the dominant paradigms driving programming and hardware innovation. This book focuses on the shift, exploring the ways in which software and technology in the 'cloud' are accessed by cell phones, tablets, laptops, and more
We are obsessed with time. However hard we might try, it is almost impossible to spend even one day without the marker of a clock. But how much do we understand about time, and is it possible to retrain our brains and improve our relationship with it? Drawing on the latest research from the fields of psychology, neuroscience, and biology, and using original research on the way memory shapes our understanding of time, acclaimed writer and broadcaster Claudia Hammond delves into the mysteries of time perception. Along the way, she introduces us to an extraordinary array of colourful characters willing to go to great lengths in the interests of research, such as the French speleologist Michel, who spends two months in an ice cave in complete darkness. Time Warped shows us how to manage our time more efficiently, speed time up and slow it down at will, plan for the future with more accuracy, and, ultimately, use the warping of time to our own advantage.
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. - Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples - Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models - A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: - New chapters on GPU programming and heterogeneous programming - New examples and exercises related to parallel algorithms
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. - Comprehensive introduction to parallel programming with CUDA, for readers new to both - Detailed instructions help readers optimize the CUDA software development kit - Practical techniques illustrate working with memory, threads, algorithms, resources, and more - Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets - Each chapter includes exercises to test reader knowledge
This two-volume-set constitutes the refereed proceedings of the 6th International Conference on Future Information Technology, FutureTech 2011, held in Crete, Greece, in June 2011. The 123 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on future information technology, IT service and cloud computing; social computing, network, and services; forensics for future generation communication environments; intelligent transportation systems and applications; multimedia and semantic technologies; information science and technology.
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.