Sökning: "CPU-GPU heterogeneous computing"

Hittade 3 avhandlingar innehållade orden CPU-GPU heterogeneous computing.

1. 1. Improving On-Board Data Processing using CPU-GPU Heterogeneous Architectures for Real-Time Systems

   Författare :Nandinbaatar Tsog; Mikael Nolin; Fredrik Bruhn; Moris Behnam; Saad Mubeen; Juha Plosila; Mälardalens högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; on-board data processing; CPU-GPU; heterogeneous architectures; real-time systems; Computer Science; datavetenskap;

   Sammanfattning : This thesis investigates the efficacy of heterogeneous computing architectures in real-time systems.The goals of the thesis are twofold. First, to investigate various characteristics of the Heterogeneous System Architectures (HSA) compliant reference platforms focusing on computing performance and power consumption. LÄS MER

3. 2. Space Computing using COTS Heterogeneous Platforms : Intelligent On-Board Data Processing in Space Systems

   Författare :Nandinbaatar Tsog; Mikael Sjödin; Fredrik Bruhn; Moris Behnam; Saad Mubeen; Juha Plosila; Mälardalens högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; space computing; CPU-GPU heterogeneous computing; intelligent on-board data processing; Computer Science; datavetenskap;

   Sammanfattning : Space computing enriches space activities such as deep-space explorations and in-orbit intelligent decision making. The awareness of space computing is growing due to the technological advances of high-performance commercial off-the-shelf (COTS) computing platforms. LÄS MER

4. 3. Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems

   Författare :Lu Li; Christoph Kessler; Welf Löwe; Thomas Fahringer; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; CPU; GPU; GPGPU; heterogeneous systems; programming abstraction; performance optimization; energy optimization; adaptive sampling; MeterPU; TunerPU; XPDL; VectorPU;

   Sammanfattning : CPU/GPU heterogeneous systems have shown remarkable advantages in performance and energy consumption compared to homogeneous ones such as standard multi-core systems.Such heterogeneity represents one of the most promising trendsfor the near-future evolution of high performance computing hardware. LÄS MER