This ebook is the first authorized digital version of Kernighan and Ritchie's 1988 classic, The C Programming Language (2nd Ed.). One of the best-selling programming books published in the last fifty years, "K&R" has been called everything from the "bible" to "a landmark in computer science" and it has influenced generations of programmers. Available now for all leading ebook platforms, this concise and beautifully written text is a "must-have" reference for every serious programmers digital library.

As modestly described by the authors in the Preface to the First Edition, this "is not an introductory programming manual; it assumes some familiarity with basic programming concepts like variables, assignment statements, loops, and functions. Nonetheless, a novice programmer should be able to read along and pick up the language, although access to a more knowledgeable colleague will help."

The C programming language

Applied Parallel Computing. State of the Art in Scientific Computing

In a meshing method for use in a computer-aided design (CAD) or computer-aided engineering (CAE) system, in which one or more serial meshing units are used to carry out a decoupled parallel meshing process in respect of all parts of a CAD assembly model, input parameters for the meshing process automatically, for each part to be processed, are set using live runtime information about the meshing process for the part concerned, such as information about the outcome of previous attempts to carry out the meshing process of the part. In a scheduling method for managing the execution of tasks in a decoupled parallel meshing process, in which the execution of one or more tasks is dependent upon the execution result of at least one other task, and each task is scheduled for execution after the execution result of at least one of the tasks upon which it depends is known and processing resources for the task are available, execution of one or more tasks is prioritised over one or more other tasks in accordance with a prioritisation criterion, the prioritisation criterion being, depending on a characteristic of the task, either that, on the basis of information relating to one or more previous attempts to execute the task or similar tasks, the task is deemed to be more likely to succeed than other tasks to be executed, or that, on the basis of information relating to one or more previous attempts to execute the task or similar tasks, the task is deemed to be more likely to fail than other tasks to be executed.

Decoupled parallel meshing in computer aided design

In many areas of applied geometric/numeric computational mathematics, including geo-mapping, computer vision, computer graphics, finite element analysis, medical imaging, geometric design, and solid modeling, one has to compute incidences, adjacencies, and ordering of cells, generally using disparate and often incompatible data structures and algorithms. This article introduces computational topology algorithms to discover the two-dimensional (2D)/3D space partition induced by a collection of geometric objects of dimension 1D/2D, respectively. Methods and language are those of basic geometric and algebraic topology. Only sparse vectors and matrices are used to compute both spaces and maps, i.e., the chain complex, from dimension zero to three. The prototype software is written in Julia, the novel language for scientific computing. The applications may vary from 3D graphics to 3D printing, from images to scene understanding, and from games to building information modeling.

Topological Computing of Arrangements with (Co)Chains

Oxide based resistive switching memories are considered to be one of the front-runners for the next generation non-volatile memories. Forming, the critical one time programming process, is not well understood. In this work, we try to understand the dynamics of forming process in two model systems - TaOx and TiOx, and compare the similarities and the universality in its control parameters. After comparing the time, voltage and temperature dependent dynamics, we find that a 1/E (E being electric field) dependence causes the activation energy to reduce by more than an order of magnitude.

Comparison of electric field dependent activation energy for electroformation in TaO x and TiO x based RRAMs

Techniques for library-centric application design have already proven to be very useful in the past. The current gain in computer performance is shifted towards the utilisation of multi-core processors which extends the importance of this type of application design in the field of scientific computing, which also poses new difficulties. A parallel generic scientific simulation environment has been developed to ease this transition from single-core to multi-core systems without additional development activity.

/pdf/guide-parallel-library-centric-application-design-by-a-495qmfjact.pdf

GUIDE: Parallel library-centric application design by a generic scientific simulation environment

A new approach for mesh generation has been developed to fulfill the requirements of three-dimensional TCAD with respect to a full utilization of the available upcoming computational power of multi-core CPUs. Parallelization and robustness of the meshing algorithm are facilitated by employing a rigorous surface treatment, which not only enforces prescribed quality criteria such as the Delaunay property, but also allows to decouple the subsequent parallel meshing steps. The presented approach is especially applicable for modern TCAD applications through the combination with the constructive solid geometry method, state of the art programming techniques and programming paradigms.

/pdf/a-robust-parallel-delaunay-mesh-generation-approach-suitable-3flcruwa9b.pdf

A robust parallel delaunay mesh generation approach suitable for three-dimensional TCAD

We present a modular tool chain for high performance CFD simulations of pulsatile blood flow in intracranial aneurysms. We describe a path from in‐situ imaging (ie. CT and MRI) to flow simulations and show different modules for obtaining anatomically accurate and allover smooth meshes suitable for computed fluid dynamics (CFD) as well as methods for computing the blood flow in a robust and high performing way.

/pdf/a-modular-tool-chain-for-high-performance-cfd-simulations-in-2i6egi459v.pdf

A Modular Tool Chain for High Performance CFD Simulations in Intracranial Aneurysms

During the last decades various high-performance libraries were developed written in fairly low level languages, like FORTRAN, carefully specializing codes to achieve the best performance. However, the objective to achieve reusable components has regularly eluded the software community ever since. The fundamental goal of our approach is to create a high-performance mathematical framework with reusable domain-specific abstractions which are close to the mathematical notations to describe many problems in scientific computing. Interoperability driven by strong theoretical derivations of mathematical concepts is another important goal of our approach.

Concepts for High-Perfomance Scientific Computing

We extend the McPherson Model for silicon-oxygen bond-breakage derived for a single SiO4 tetrahedron to capture the influence of the whole lattice. Several pair-wise potentials have been compared in the model including Mie-Gruneisen as well as diverse forms of TTAM/BKS. The contribution of the whole lattice substantially increases the activation energy for the Si-O bond rupture. The corresponding small transition rate of a non-distorted Si-O bond suggests that the interaction with the electric field alone can not be responsible for the bond-breakage and the contribution of other components such as energy delivered by particles and/or bond weakening is required.

/pdf/impact-of-the-surrounding-network-on-the-si-o-bond-breakage-4tsjcz97tn.pdf

Impact of the Surrounding Network on the Si-O Bond-Breakage Energetics

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