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88023305
増補改訂GPUを支える技術 ――超並列ハードウェアの快進撃技術基礎 WEB+DB PRESS plus
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88023305
PYG 272036
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A technical manual that focuses on how GPUs work, providing a comprehensive look into the current state of GPUs and their applications across various fields.
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What Stands Out
Advanced GPU Insights
Offers in-depth analysis of the latest GPU technologies, guiding readers through the complexities of massively parallel hardware and enhancing their understanding of advanced graphics computing.
Rapid Advancement Focus
Emphasizes rapid advancements in GPU technology, equipping readers with the knowledge necessary to stay ahead in the fast-evolving field of technology and graphics processing.
Comprehensive Resource
Serves as a vital reference for technology enthusiasts and professionals alike, combining theoretical fundamentals with practical applications, making it an essential addition to any tech library.
Product Details
- (概要) GPUのしくみに焦点を当てた技術解説書。 3Dグラフィックス、AI/マシンラーニング、モバイル、IoT、ゲーム、ARなどの各種分野で、GPUの存在感はますます高まっています。また、科学技術計算の超並列計算にもGPUアクセラレータは重要な役割を担ってきました。それらの背景にあるGPUの特性および昨今の計算処理の要求とはどのようなものでしょうか。 本書では、GPUの今に主眼を置き、ハードウェアおよびソフトウェアの観点の基本事項、並列処理と計算の基礎から、内部構造、技術動向まで徹底解説。NVIDIAをはじめとした実製品の具体例、各分野での採用事例などを幅広く紹介し、現場で役立つ技術知識を厳選収録します。今回の改訂では、マシンラーニングの台頭に伴う性能改善のターゲットの変化と各社の新アーキテクチャの登場、第一線のGPU開発競争の鍵を握るスーパーコンピュータでのGPU採用状況など、今押さえておきたい話題を凝縮してお届けします。 (こんな方におすすめ) ・GPUの技術動向に関心のあるソフトウェアエンジニア、モバイルアプリ開発者、学生の方々 (目次) 第1章 入門プロセッサとGPU 1.1 コンピュータシステムと画像表示の基礎 ……フレームバッファ、VRAM、ディスプレイインターフェース 1.2 3Dグラフィックスの歴史 ……文字から図、2D、3Dへ。高品質とリアルタイム 1.3 3Dモデルの作成 ……パネル、座標、配置、光 1.4 CPUとGPUの違い ……プロセッサも適材適所 1.5 ユーザーの身近にあるGPUのバリエーション ……SoC、CPUチップ内蔵、ディスクリートGPU 1.6 GPUとおもな処理方式 ……メモリ空間、描画時のGPUメモリ確保方式、並列処理 1.7 まとめ 第2章 GPUと計算処理の変遷 2.1 グラフィックスとアクセラレータの歴史 ……ゲーム機、PCグラフィックス 2.2 グラフィックスボードの技術 ……2Dの背景+スプライト、BitBLT、2D/2.5D/3Dグラフィックアクセラレータ 2.3 GPUの科学技術計算への応用 ……ユニファイドシェーダ、倍精度浮動小数点演算、プログラミング環境 2.4 並列処理のパラダイム ……基本、MIMD/SIMD/SIMTの違い 2.5 まとめ 第3章 基礎知識GPUと計算処理 3.1 3Dグラフィックスの基本 ……OpenGLのレンダリングパイプラインを例に 3.2 グラフィックス処理を行うハードウェアの構造 ……Intel HD Graphics Gen 9 GPUの例 3.3 速習ゲームグラフィックスとGPU ……ハードウェアとソフトウェア、進化の軌跡 ・特別寄稿 西川 善司 3.4 科学技術計算、ニューラルネットワークとGPU ……高い演算性能で用途が拡大 3.5 並列計算処理 ……プロセッサのコア数の増加と、計算/プログラムの関係 3.6 GPUの関連ハードウェア ……メモリ容量、バンド幅、CPUとの接続、エラーと対策 3.7 まとめ 第4章 詳説GPUの超並列処理 4.1 GPUの並列処理方式 ……SIMDとSIMT 4.2 GPUの構造 ……NVIDIA Turing GPU 4.3 AMDとArmのSIMT方式のGPU ……AMD RDNAアーキテクチャとArm Bifrost GPU 4.4 GPUの使い勝手を改善する最近の技術 ……ユニファイドメモリ、細粒度プリエンプション 4.5 エラーの検出と訂正 ……科学技術計算用途では必須機能 4.6 まとめ 第5章 GPUプログラミングの基本 5.1 GPUの互換性の考え方 ……完全な上位互換は難しい状況 5.2 CUDA ……NVIDIAのGPUプログラミング環境 5.3 OpenCL ……業界標準のGPU計算言語 5.4 GPUプログラムの最適化 ……性能を引き出す 5.5 OpenMPとOpenACC ……ディレクティブを使うGPUプログラミング 5.6 まとめ 第6章 GPUの周辺技術 6.1 GPUのデバイスメモリ ……大量データを高速に供給 6.2 CPUとGPU間のデータ伝送 ……PCI Express関連技術、NVLink、CAPI 6.3 まとめ 第7章 GPU活用の最前線 7.1 ディープラーニングとGPU ……ニューラルネットワークの基本から活用事例まで 7.2 3DグラフィックスとGPU ……広がる3D事例 7.3 スマートフォン向けSoC ……機能向上と電池や消費電力とのバランス 7.4 スーパーコンピュータとGPU ……高い演算性能を求めて 7.5 まとめ 第8章 ディープラーニングの台頭とGPUの進化 8.1 ディープラーニング用のハードウェア ……数値計算の精度と性能 8.2 各社のAIアクセラレータ ……TPU、Tensorコア、Efficiera、Goya/Gaudi、MLプロセッサ、Wafer Scale Engine 8.3 ディープラーニング/マシンラーニングのベンチマーク ……MLPerfの基本 8.4 エクサスパコンとNVIDIA、Intel、AMDの新世代GPU ……最先端のコンピュータが牽引する新技術 8.5 今後のLSI、CPUはどうなっていくのか? ……半導体の進歩、高性能CPU 8.6 GPUはどうなっていくのか ……さらなる進化の方向性 8.7 まとめ
| Publisher | 技術評論社 |
| Publication date | March 18, 2021 |
| Edition | Complementary Review |
| Language | Japanese |
| Print length | 400 pages |
| ISBN-10 | 4297119544 |
| ISBN-13 | 978-4297119546 |
| Item Weight | 500 g |
| Dimensions | 5.94 x 0.87 x 8.31 inches (15.1 x 2.2 x 21.1 cm) |
| Part of series | WEB+DB PRESS plus |
Who Should Buy?
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GPU Developers
Engineers developing new GPUs will benefit from advanced knowledge on massively parallel hardware technologies.
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Researchers in Computing
Academics studying computational architectures can leverage insights from this book to enhance their research outcomes.
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Tech Enthusiasts
Individuals interested in the latest GPU technologies will find valuable information for personal or professional projects.
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Casual Users
General users seeking basic GPU knowledge may find this content too technical and advanced for their needs.
Product Description
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Customer Questions & Answers
-
Question:
Who is this book recommended for?
Answer: It is recommended for software engineers, mobile app developers, and students interested in GPU technology trends. -
Question:
What topics does the book cover?
Answer: It covers GPU fundamentals, parallel processing, technological trends, and specific product examples. -
Question:
Why is understanding GPU technology important?
Answer: Understanding GPU technology is crucial for advancements in fields like AI, gaming, and scientific computing.
Hisa Ando Format: Tankobon Softcover Personal Computers Editorial Review
In the realm of technology literature, "Technology that supports expanded and revised GPUs" shines as a comprehensive resource for those looking to deepen their understanding of graphics processing units (GPUs). Recently revised to reflect the latest advancements in the field, this book presents a well-structured overview of GPU fundamentals, catering particularly to a Japanese-speaking audience. Readers have noted that the compilation of hard-to-research information into a single volume is a significant advantage, making it an invaluable reference for both novices and seasoned tech enthusiasts. The book excels in its clarity and readability, simplifying complex concepts without oversimplifying the content. It covers a wide range of topics, from basic processor knowledge to software, hardware, and industry trends, all while addressing user needs. However, it is worth noting that readers should come prepared with some foundational knowledge, particularly around 3D modeling, to fully grasp the material presented. While many find the book's insights beneficial, there are some discrepancies in the data provided, leading to some frustration among readers. Additionally, the strong emphasis on NVIDIA's dominance in the GPU market, with less focus on competitors like AMD, Arm, and Intel, has been a point of contention for some. Lastly, readers have expressed a desire for more information regarding GPUs in the context of Bitcoin mining, indicating potential gaps in the content that could be addressed in future editions. In summary, "Technology that supports expanded and revised GPUs" is a well-regarded resource that offers a thoughtful exploration of modern GPU technology, though it may benefit from clearer data and a broader competitive perspective. **
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Pros
- Comprehensive compilation of GPU-related information.
- Well-structured and easy-to-read content.
- Covers a range of topics including hardware, software, and industry trends.
Cons
- Requires some prerequisite knowledge in 3D drawing.
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PYG 272036
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Features & Benefits
- In-depth exploration of GPU technology and its applications.
- Covers fundamentals of hardware and software perspectives.
- Discusses changes in performance targets due to machine learning.
- Includes specific examples from leading companies like NVIDIA.
- Ideal for software engineers, mobile app developers, and students.
- A key resource for understanding the trends and advancements in GPU technology.
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