| 書目名稱 | Compiling Algorithms for Heterogeneous Systems | | 編輯 | Steven Bell,Jing Pu,Mark Horowitz | | 視頻video | http://file.papertrans.cn/232/231276/231276.mp4 | | 叢書名稱 | Synthesis Lectures on Computer Architecture | | 圖書封面 |  | | 描述 | .Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware—and the software to control it—is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error...Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the cre | | 出版日期 | Book 2018 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01758-2 | | isbn_ebook | 978-3-031-01758-2Series ISSN 1935-3235 Series E-ISSN 1935-3243 | | issn_series | 1935-3235 | | copyright | Springer Nature Switzerland AG 2018 |
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