eBook
Advances in GPU Research and Practice
| Τίτλος: | Advances in GPU Research and Practice |
|---|---|
| Περιγραφή: | Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. - Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs - Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers - Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs - Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography - Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications |
| Συγγραφείς: | Hamid Sarbazi-Azad |
| Resource Type: | eBook. |
| Θέματα: | Image processing--Digital techniques, Computer graphics, Graphics processing units--Programming, Imaging systems |
| Categories: | COMPUTERS / Hardware / Chips & Processors, COMPUTERS / Programming / General |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advances in GPU Research and Practice – Name: Abstract Label: Description Group: Ab Data: Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. - Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs - Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers - Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs - Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography - Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hamid+Sarbazi-Azad%22">Hamid Sarbazi-Azad</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+processing--Digital+techniques%22">Image processing--Digital techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics%22">Computer graphics</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units--Programming%22">Graphics processing units--Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Hardware+%2F+Chips+%26+Processors%22">COMPUTERS / Hardware / Chips & Processors</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+General%22">COMPUTERS / Programming / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1144577 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.6869 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Image processing--Digital techniques Type: general – SubjectFull: Computer graphics Type: general – SubjectFull: Graphics processing units--Programming Type: general – SubjectFull: Imaging systems Type: general Titles: – TitleFull: Advances in GPU Research and Practice Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hamid Sarbazi-Azad – PersonEntity: Name: NameFull: Hamid Sarbazi-Azad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2017 – D: 24 M: 02 Type: profile Y: 2017 Identifiers: – Type: isbn-print Value: 9780128037386 – Type: isbn-electronic Value: 9780128037881 Titles: – TitleFull: Advances in GPU Research and Practice Type: main |
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