Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The 14 chapters presented in this book cover a wide variety of representative works ranging from hardware design to application development. Particularly, the topics that are addressed are programmable and reconfigurable devices and systems, dependability of GPUs (General Purpose Units), network topologies, cache coherence protocols, resource allocation, scheduling algorithms, peertopeer networks, largescale network simulation, and parallel routines and algorithms. In this way, the articles included in this book constitute an excellent reference for engineers and researchers who have particular interests in each of these topics in parallel and distributed computing.

Electronic data processing --- High performance computing. --- Distributed processing. --- HPC (Computer science) --- Cyberinfrastructure --- Supercomputers --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Distributed systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.

High performance computing. --- Supercomputers. --- Computer science. --- Computer Science. --- Computer Science, general. --- Informatics --- Science --- Intel Corporation. --- Intel (Firm) --- Electronic digital computers --- High performance computing --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Software engineering. --- Programming Languages, Compilers, Interpreters. --- Software Engineering/Programming and Operating Systems. --- Computer software engineering --- Engineering --- Programming languages (Electronic computers). --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Computer science

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: • Load and Resource Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.

Resource allocation. --- Embedded computer systems. --- High performance computing. --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- Allocation of resources --- Resources allocation --- Economics --- Management --- Operations research --- Organization --- Planning --- Feasibility studies --- Computer architecture and logic design --- Energy