Listing 1 - 10 of 12 | << page >> |
Sort by
|
Choose an application
Choose an application
Choose an application
Choose an application
Parallel programming (Computer science) --- Multiprocessors --- Java (Computer program language) --- Object-oriented programming languages --- JavaSpaces technology --- Electronic digital computers --- Multiprogramming (Electronic computers) --- Parallel processing (Electronic computers) --- Computer programming --- Programming.
Choose an application
This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.
Parallel processing (Electronic computers) --- Computer algorithms --- Mathematics --- Math --- Science --- Algorithms --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Data processing
Choose an application
This book offers a practical guide to the advanced features of the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. It covers new features added in MPI-3, the latest version of the MPI standard, and updates from MPI-2. Like its companion volume, Using MPI, the book takes an informal, example-driven, tutorial approach. The material in each chapter is organized according to the complexity of the programs used as examples, starting with the simplest example and moving to more complex ones. Using Advanced MPI covers major changes in MPI-3, including changes to remote memory access and one-sided communication that simplify semantics and enable better performance on modern hardware; new features such as nonblocking and neighborhood collectives for greater scalability on large systems; and minor updates to parallel I/O and dynamic processes. It also covers support for hybrid shared-memory/message-passing programming; MPI_Message, which aids in certain types of multithreaded programming; features that handle very large data; an interface that allows the programmer and the developer to access performance data; and a new binding of MPI to Fortran.
Parallel programming (Computer science) --- Parallel computers --- Computer interfaces. --- Interfaces, Computer --- Computer input-output equipment --- Interface circuits --- Electronic digital computers --- Computer programming --- Parallel processing (Electronic computers) --- Programming.
Choose an application
This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. Since the publication of the previous edition of Using MPI, parallel computing has become mainstream. Today, applications run on computers with millions of processors; multiple processors sharing memory and multicore processors with multiple hardware threads per core are common. The MPI-3 Forum recently brought the MPI standard up to date with respect to developments in hardware capabilities, core language evolution, the needs of applications, and experience gained over the years by vendors, implementers, and users. This third edition of Using MPI reflects these changes in both text and example code. The book takes an informal, tutorial approach, introducing each concept through easy-to-understand examples, including actual code in C and Fortran. Topics include using MPI in simple programs, virtual topologies, MPI datatypes, parallel libraries, and a comparison of MPI with sockets. For the third edition, example code has been brought up to date; applications have been updated; and references reflect the recent attention MPI has received in the literature. A companion volume, Using Advanced MPI, covers more advanced topics, including hybrid programming and coping with large data.
Parallel programming (Computer science) --- Parallel computers --- Computer interfaces. --- Programming. --- Interfaces, Computer --- Computer input-output equipment --- Interface circuits --- Electronic digital computers --- Computer programming --- Parallel processing (Electronic computers) --- Computer interfaces --- Programming --- Parallel computers - Programming
Choose an application
Parallel processing (Electronic computers) --- Electronic data processing --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Distributed processing.
Choose an application
If you want to know the secrets of virtualization and how to implement high availability on your services, this is the book for you. For those of you who are already using Proxmox, this book offers you the chance to build a high availability cluster with a distributed filesystem to further protect your system from failure.
Beowulf clusters (Computer systems) --- Parallel processing (Electronic computers) --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Beowulf-class computer systems --- Beowulf-class computers --- Beowulf-class PC clusters --- Beowulfs (Computer systems) --- Clusters, Beowulf (Computer systems) --- Parallel computers
Choose an application
This book provides a single-source reference to the state-of-the-art of high-level programming models and compilation tool-chains for embedded system platforms. The authors address challenges faced by programmers developing software to implement parallel applications in embedded systems, where very often they are forced to rewrite sequential programs into parallel software, taking into account all the low level features and peculiarities of the underlying platforms. Readers will benefit from these authors’ approach, which takes into account both the application requirements and the platform specificities of various embedded systems from different industries. Parallel programming tool-chains are described that take as input parameters both the application and the platform model, then determine relevant transformations and mapping decisions on the concrete platform, minimizing user intervention and hiding the difficulties related to the correct and efficient use of memory hierarchy and low level code generation.
Computer science. --- Electronics. --- Engineering. --- Systems engineering. --- Engineering systems --- System engineering --- Construction --- Informatics --- Design and construction --- Microprocessors. --- Microelectronics. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Industrial arts --- Technology --- Electrical engineering --- Physical sciences --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Minicomputers --- Engineering --- Industrial engineering --- System analysis --- Science --- Parallel programming (Computer science) --- Embedded computer systems --- Multiprocessors. --- Parallel processing (Electronic computers) --- Design and construction.
Listing 1 - 10 of 12 | << page >> |
Sort by
|