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Electronics --- digitale elektronica --- elektronica --- 621.377.6 --- booleaanse algebra --- flipflops --- logica --- digitale geheugens
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Logic --- Electrical engineering --- logic --- digitale geheugens --- flipflop --- digitale technieken --- schakelingen --- omzetters elektrische energie
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Electronics --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- microprocessoren --- digitale geheugens --- cryptografie --- computers --- informatica --- computerbeveiliging --- architectuur (informatica)
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In this work, algorithms and architectures for cryptography and source coding are developed, which are suitable for many resource-constrained embedded systems such as non-volatile flash memories. A new concept for elliptic curve cryptography is presented, which uses an arithmetic over Gaussian integers. Gaussian integers are a subset of the complex numbers with integers as real and imaginary parts. Ordinary modular arithmetic over Gaussian integers is computational expensive. To reduce the complexity, a new arithmetic based on the Montgomery reduction is presented. For the elliptic curve point multiplication, this arithmetic over Gaussian integers improves the computational efficiency, the resistance against side channel attacks, and reduces the memory requirements. Furthermore, an efficient variant of the Lempel-Ziv-Welch (LZW) algorithm for universal lossless data compression is investigated. Instead of one LZW dictionary, this algorithm applies several dictionaries to speed up the encoding process. Two dictionary partitioning techniques are introduced that improve the compression rate and reduce the memory size of this parallel dictionary LZW algorithm. About the Author Malek Safieh is a research scientist in the field of cryptography and data compression.
Electronics --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- microprocessoren --- digitale geheugens --- cryptografie --- computers --- informatica --- computerbeveiliging --- architectuur (informatica)
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Circuits numériques --- Digital electronics --- Digitale elektronica --- Techniques numériques (Electronique) --- Électronique numérique --- digitale technieken --- schakelingen --- 621.377.6 --- elektronica --- logica --- digitale geheugens
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Molecular biology --- Electronics --- Electrical engineering --- Applied physical engineering --- Computer architecture. Operating systems --- digitale geheugens --- hersenonderzoek --- elektronica --- ingenieurswetenschappen --- elektrische circuits --- moleculaire biologie
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Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET. What You'll Learn: Understand the theoretical underpinnings of automatic memory management Take a deep dive into every aspect of .NET memory management, including detailed coverage of garbage collection (GC) implementation, that would otherwise take years of experience to acquire Get practical advice on how this knowledge can be applied in real-world software development Use practical knowledge of tools related to .NET memory management to diagnose various memory-related issues Explore various aspects of advanced memory management, including use of Span and Memory types This book is for .NET developers, solution architects, and performance engineers. Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management “rules” to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls. Konrad Kokosa is an experienced software designer, developer, and Microsoft MVP specializing in Microsoft technologies, but curious about everything else. A programmer for more than a decade, he has a passion for solving performance problems, speeding up applications, and resolving all types of architectural puzzles in .NET. Konrad is an independent consultant, and an active member of the community, blogging, speaking, and training. He is co-founder of Dotnetos.org.
Molecular biology --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- digitale geheugens --- computers --- computerprogramma's --- hersenonderzoek --- programmeertalen --- software engineering --- computerkunde --- moleculaire biologie
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This book introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges across the memory technologies are highlighted and their solutions in mature technology are discussed, enabling innovation of sensing technologies for future NVMs. Coverage includes sensing techniques ranging from well-established NVMs such as hard disk, flash, Magnetic RAM (MRAM) to emerging NVMs such as ReRAM, STTRAM, FeRAM and Domain Wall Memory will be covered. Provides a single-source reference to sensing technologies for non-volatile memories (NVMs), enabling readers to compare sensing performance of various options; Covers sensing techniques ranging from well-established NVMs such as hard disk, flash, Magnetic RAM (MRAM) to emerging NVMs such as ReRAM, STTRAM, FeRAM and Domain Wall Memory; Highlights challenges common among memory technologies and their solutions in mature technology, guiding innovation of sensing technologies for future NVMs.
Molecular biology --- Electronics --- Electrical engineering --- Applied physical engineering --- Computer architecture. Operating systems --- digitale geheugens --- hersenonderzoek --- elektronica --- ingenieurswetenschappen --- elektrische circuits --- moleculaire biologie
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This book describes the technology of charge-trapping non-volatile memories and their uses. The authors explain the device physics of each device architecture and provide a concrete description of the materials involved and the fundamental properties of the technology. Modern material properties, used as charge-trapping layers, for new applications are introduced. Provides a comprehensive overview of the technology for charge-trapping non-volatile memories; Details new architectures and current modeling concepts for non-volatile memory devices; Focuses on conduction through multi-layer gate dielectrics stacks.
Molecular biology --- Materials sciences --- Electronics --- Electrical engineering --- Computer architecture. Operating systems --- materiaalkennis --- digitale geheugens --- nanotechniek --- hersenonderzoek --- elektronica --- elektrische circuits --- moleculaire biologie
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