eBook
Mastering SIMD with Java Vector API
| Τίτλος: | Mastering SIMD with Java Vector API |
|---|---|
| Περιγραφή: | Learn how to write Java code faster by using the Vector API for SIMD operations. This book shows you how to apply data-level parallelism to common algorithms without leaving the Java ecosystem, making modern CPU capabilities accessible to everyday developers. The book uses a problem-first approach. Each chapter starts with a familiar coding task—such as array summation or prefix sums—and then reworks the solution using vectorization. You'll move from simple element-wise operations to advanced techniques like parallel scans, bitonic sorting, and sliding window optimizations. Extensive code examples, performance benchmarks, diagrams, and assembly analysis ensure you understand both the “how” and the “why” behind every optimization. Today, the rise of computer-heavy applications in finance, scientific computing, machine learning and real-time analytics makes understanding vectorization an essential skill for developers. Modern processors dedicate significant silicon to vector units, yet most Java code never uses them. By mastering the Vector API, you'll learn to recognize patterns that benefit from SIMD, write production-ready vector algorithms, and make informed architectural decisions. This is your guide to writing faster, smarter Java code that fully leverages today's hardware. What You Will Learn: Master Java Vector API and SIMD across x86 and ARM architectures Build vector-length-agnostic algorithms for any hardware platform Spot patterns for vectorization and use masked ops for conditional logic Optimize vertical vs. horizontal ops and avoid instruction-level hazards Ensure numerical stability and verify vectorization via assembly analysis |
| Συγγραφείς: | Roman Snytsar |
| Resource Type: | eBook. |
| Categories: | COMPUTERS / Languages / Java |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4525597 RelevancyScore: 987 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 987.310668945313 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mastering SIMD with Java Vector API – Name: Abstract Label: Description Group: Ab Data: Learn how to write Java code faster by using the Vector API for SIMD operations. This book shows you how to apply data-level parallelism to common algorithms without leaving the Java ecosystem, making modern CPU capabilities accessible to everyday developers. The book uses a problem-first approach. Each chapter starts with a familiar coding task—such as array summation or prefix sums—and then reworks the solution using vectorization. You'll move from simple element-wise operations to advanced techniques like parallel scans, bitonic sorting, and sliding window optimizations. Extensive code examples, performance benchmarks, diagrams, and assembly analysis ensure you understand both the “how” and the “why” behind every optimization. Today, the rise of computer-heavy applications in finance, scientific computing, machine learning and real-time analytics makes understanding vectorization an essential skill for developers. Modern processors dedicate significant silicon to vector units, yet most Java code never uses them. By mastering the Vector API, you'll learn to recognize patterns that benefit from SIMD, write production-ready vector algorithms, and make informed architectural decisions. This is your guide to writing faster, smarter Java code that fully leverages today's hardware. What You Will Learn: Master Java Vector API and SIMD across x86 and ARM architectures Build vector-length-agnostic algorithms for any hardware platform Spot patterns for vectorization and use masked ops for conditional logic Optimize vertical vs. horizontal ops and avoid instruction-level hazards Ensure numerical stability and verify vectorization via assembly analysis <span lang='EN-IN'style='mso-ascii-font-family: Calibri; mso-fareast-font-family:'Times New Roman'; mso-hansi-font-family: Calibri; mso-bidi-font-family: Calibri; color: black; mso-color-alt: windowtext; background: white; mso-fareast-language: – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Roman+Snytsar%22">Roman Snytsar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+Java%22">COMPUTERS / Languages / Java</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4525597 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Titles: – TitleFull: Mastering SIMD with Java Vector API Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Roman Snytsar – PersonEntity: Name: NameFull: Roman Snytsar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: isbn-print Value: 9798868826757 – Type: isbn-electronic Value: 9798868826764 Titles: – TitleFull: Mastering SIMD with Java Vector API Type: main |
| ResultId | 1 |