Memory Wall Problem
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The Memory Wall
Author: Lev AC Rosen
language: en
Publisher: Knopf Books for Young Readers
Release Date: 2016-09-13
An engrossing middle-grade novel set in a high-fantasy video game world that’s part Kathryn Erskine’s Mockingbird, part Patrick Ness’s A Monster Calls. Wellhall is an immersive online fantasy world full of giants, sorcerers, and elves—and it’s junior-high-schooler Nick’s only escape from real life. Nick and his mom used to play the online video game together before her early-onset Alzheimer’s forced her to enter an assisted-living facility. At first, Nick seeks distraction in the game, but he soon becomes convinced that his mom is playing the game as a character named Reunne, and dropping him hints about her diagnosis and how he can help her return home. Even as Nick becomes more and more certain that Reunne is actually his mother, Nick’s father and his new friend encourage Nick to confront the possibility that the game is just a game, and that he needs to be prepared to say goodbye to his mother as he knows her. . . . “Readers—gamers and nongamers alike—will cheer the resolution of Nick’s transformative journey. Thoughtful, earnest, and gratifying.” —Kirkus Reviews “A lovely, heartwarming story of a young man negotiating personal crises with the help of games, friends, and family, perfect for readers who appreciate a blend of fantasy and realism.” —The Bulletin “A complex, emotional story about grief and acceptance. . . . A strong, thought-provoking novel.” —Publishers Weekly
In-/Near-Memory Computing
This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices,without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.