Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Mastering SIMD with Java Vector API
Unlocking Single-Core Performance Through SIMD Optimization
Verlag:
Springer EN Unsere-Artikel-Nr.: P34841173
EAN: 9798868826757
Erhältlich:
Nicht auf Lager
Zustellung: Mo, 02.11.2026
Versand: Kostenlos
-7.8 %
CHF 77.–
CHF 71.–
Beschreibung
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. You Will: 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
Spezifikationen
Sprache
- Englisch
Autor
- Roman Snytsar
Zielgruppe
- Professional/practitioner
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)
Anzahl Seiten
- 349