Sökning: "data parallel"

Visar resultat 1 - 5 av 1046 avhandlingar innehållade orden data parallel.

1. 1. Throughput and energy efficiency of lock-free data structures: Execution Models and Analyses

   Författare :Aras Atalar; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Modeling; Data Structures; Throughput; Concurrency; Energy Efficiency; Parallel Computing; Analysis; Performance; Lock-free;

   Sammanfattning : Concurrent data structures are key program components to harness the available parallelism in multi-core processors. Lock-free algorithmic implementations of concurrent data structures offer high scalability and possess desirable properties such as immunity to deadlocks, convoying and priority inversion. LÄS MER

3. 2. Data Partitioning Methods and Parallel Block-Oriented PDE Solvers

   Författare :Jarmo Rantakokko; Michael Thuné; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data assimilation; data partitioning; meteorology; multiblock; Navier-Stokes; object-oriented; oceanography; parallel computing; Numerical Analysis; Numerisk analys;

   Sammanfattning : Data partitioning methods for block-structured problems within scientific computing have been studied. The applications are variational data assimilation in meteorology, ocean modeling, and airflow simulation with multiblock grids. LÄS MER

4. 3. Parallel Data Streaming Analytics in the Context of Internet of Things

   Författare :Hannaneh Najdataei; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; clustering; stream continuous data processing; edge computing; Internet of Things; parallelism; elasticity; data analysis; fog computing; scalability;

   Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER

5. 4. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures

   Författare :Kjell Winblad; Konstantinos Sagonas; Erez Petrank; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; concurrent data structures; contention adapting; range queries; lock-freedom; adaptivity; linearizability; ordered sets; maps; key-value stores; concurrent priority queues; relaxed concurrent data structures; locks; delegation locking; Computer Science; Datavetenskap;

   Sammanfattning : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. LÄS MER

7. 5. Embedded Languages for Data-Parallel Programming

   Författare :Joel Bo Svensson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Graphics Processing Units; Data-parallelism; Functional Programming; Embedded languages;

   Sammanfattning : Computers today are becoming more and more parallel. General purpose processors (CPUs) have multiple processing cores and Single Instruction Multiple Data (SIMD) units for data-parallelism. Graphics processors (GPUs) bring massive parallelism at the cost of being harder to program than CPUs. LÄS MER