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Mac OS X for Unix Geeks (Leopard)
Mac OS X for Unix Geeks (Leopard)

Once upon a time, Unix came with only a few standard utilities. If you were lucky, it included a C compiler. When setting up a new Unix system, you’d have to crawl the Net looking for important software: Perl, gcc, bison, flex, less, Emacs, and other utilities and languages. That was a lot of software to download through a 28.8-Kbps...

Software Automatic Tuning: From Concepts to State-of-the-Art Results
Software Automatic Tuning: From Concepts to State-of-the-Art Results

Software automatic tuning is a technology paradigm enabling software adaptation to a variety of computational conditions. Originating from the stream of research works on highperformance computing, it is considered to be the most promising approach to the required performance advancements on the next generation supercomputing platforms. Also,...

Learning the iOS 4 SDK for JavaScript Programmers: Create Native Apps with Objective-C and Xcode
Learning the iOS 4 SDK for JavaScript Programmers: Create Native Apps with Objective-C and Xcode

You don’t have to be an Apple fanboy or fangirl to give Apple Inc. credit for redefining mobile gadgetry and its surrounding industries. First the company used the iPod to reshape the music industry and strongly influence how we acquire and consume tunes. Just count the number of people wearing iPod-connected earbuds in a subway car....

Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems (Embedded Systems)
Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems (Embedded Systems)

For real-time systems, the worst-case execution time (WCET) is the key objective to be considered. Traditionally, code for real-time systems is generated without taking this objective into account and the WCET is computed only after code generation. Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems presents...

Ultra-Low Energy Domain-Specific Instruction-Set Processors (Embedded Systems)
Ultra-Low Energy Domain-Specific Instruction-Set Processors (Embedded Systems)

Modern consumers carry many electronic devices, like a mobile phone, digital camera, GPS, PDA and an MP3 player. The functionality of each of these devices has gone through an important evolution over recent years, with a steep increase in both the number of features as in the quality of the services that they provide. However, providing the...

Autonomics Development: A Domain-Specific Aspect Language Approach (Autonomic Systems)
Autonomics Development: A Domain-Specific Aspect Language Approach (Autonomic Systems)

Distributed applications are difficult to write as programmers need to adhere to specific distributed systems programming conventions and frameworks, which makes distributed systems development complex and error prone and ties the resultant application to the distributed system because the application's code is tangled with the...

Arithmetic Optimization Techniques for Hardware and Software Design
Arithmetic Optimization Techniques for Hardware and Software Design

Obtain better system performance, lower energy consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques for hardware and software design. High-level compiler optimizations and high-speed architectures for implementing FIR filters are covered, which can improve performance in...

Advanced Ocean Modelling: Using Open-Source Software
Advanced Ocean Modelling: Using Open-Source Software

This book focuses on motions of incompressible fluids of a freely moving surface being influenced by both the Earth’s rotation and density stratification. In contrast to traditional textbooks in the field of geophysical fluid dynamics, such as those by by Cushman-Roisin (1994) and Gill (1982), this book uses the method of...

Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book...
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and...
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...
Parallel Algorithm Derivation and Program Transformation
Parallel Algorithm Derivation and Program Transformation
Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success. Perhaps because ad hoc programming on sequential machines is so straightforward, sequential programming methodology has had little impact outside the academic community, and transformational methodology has had little...
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