Let S Make A Memory

Gloria Gaither and Shirley Dobson team to help families create a bank of happy memories, a shared heritage that will bind families together over the years. The book contains a wealth of ideas for holidays, special occasions, vacations, and impromptu activities.

A young girl finds a clever way to keep her favorite things--and people--close to her forever in Memory Jars, from Caldecott Honoree Vera Brosgol. Freda is devastated when she can’t eat all the delicious blueberries she’s picked. She has to wait a whole year before they’re back, and she doesn’t want to lose them! Then Gran reminds her that they can save blueberries in a jar, as jam. So Freda begins to save all her favorite things. But it turns out that saving everything also means she can’t enjoy anything, and Freda realizes that some things are best saved as memories.

Provides a comprehensive, class-tested introduction to CUDA and GPU programming Covers CPU programming, parallellism, multi-threading, and other key concepts as a basis for understanding GPU programming Uses Nvidia's new platform based on Amazon EC2 and WebGPU Introduces GPU multi-threading and Global Memory, and the use of atomics and libraries on GPUs Includes example applications

This two volume set LNCS 8634 and LNCS 8635 constitutes the refereed conference proceedings of the 39th International Symposium on Mathematical Foundations of Computer Science, MFCS 2014, held in Budapest, Hungary, in August 2014. The 95 revised full papers presented together with 6 invited talks were carefully selected from 270 submissions. The focus of the conference was on following topics: Logic, Semantics, Automata, Theory of Programming, Algorithms, Complexity, Parallel and Distributed Computing, Quantum Computing, Automata, Grammars and Formal Languages, Combinatorics on Words, Trees and Games.

We couldn't exist without memory! Many take memory for granted, but we ought to appreciate it. Furthermore, pondering memory enables us to use it in the best ways. 26 pages; 25 poems.

The thirty four contributions in this book cover many aspects of contemporary studies on cellular automata and include reviews, research reports, and guides to recent literature and available software. Cellular automata, dynamic systems in which space and time are discrete, are yielding interesting applications in both the physical and natural sciences. The thirty four contributions in this book cover many aspects of contemporary studies on cellular automata and include reviews, research reports, and guides to recent literature and available software. Chapters cover mathematical analysis, the structure of the space of cellular automata, learning rules with specified properties: cellular automata in biology, physics, chemistry, and computation theory; and generalizations of cellular automata in neural nets, Boolean nets, and coupled map lattices.Current work on cellular automata may be viewed as revolving around two central and closely related problems: the forward problem and the inverse problem. The forward problem concerns the description of properties of given cellular automata. Properties considered include reversibility, invariants, criticality, fractal dimension, and computational power. The role of cellular automata in computation theory is seen as a particularly exciting venue for exploring parallel computers as theoretical and practical tools in mathematical physics. The inverse problem, an area of study gaining prominence particularly in the natural sciences, involves designing rules that possess specified properties or perform specified task. A long-term goal is to develop a set of techniques that can find a rule or set of rules that can reproduce quantitative observations of a physical system. Studies of the inverse problem take up the organization and structure of the set of automata, in particular the parameterization of the space of cellular automata. Optimization and learning techniques, like the genetic algorithm and adaptive stochastic cellular automata are applied to find cellular automaton rules that model such physical phenomena as crystal growth or perform such adaptive-learning tasks as balancing an inverted pole.Howard Gutowitz is Collaborateur in the Service de Physique du Solide et Résonance Magnetique, Commissariat a I'Energie Atomique, Saclay, France.

Tracing the path from Troy's destruction to Rome's foundation, the Aeneid explores the transition between past and future. As the Trojans struggle to found a new city and the narrator sings of his audience's often-painful history, memory becomes intertwined with a crucial leitmotif: the challenge of being part of a group that survives violence and destruction only to face the daunting task of remembering what was lost. This book offers a new reading of the Aeneid that engages with critical work on memory and questions the prevailing view that Aeneas must forget his disastrous history in order to escape from a cycle of loss. Considering crucial scenes such as Aeneas' reconstruction of Celaeno's prophecy and his slaying of Turnus, this book demonstrates that memory in the Aeneid is a reconstructive and dynamic process, one that offers a social and narrative mechanism for integrating a traumatic past with an uncertain future.