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IEEE Computer Architecture Letters, ISSN 1556-6056, 01/2015, Volume 14, Issue 1, pp. 34 - 36
gem5-gpu is a new simulator that models tightly integrated CPU-GPU systems. It builds on gem5, a modular full-system CPU simulator, and GPGPUSim, a detailed GPGPU simulator... 
Protocols | Computational modeling | Object oriented modeling | general-purpose graphics processors | Graphics processing units | Computer architecture | Coherence | Modeling techniques | heterogeneous (hybrid) systems | Kernel | simulators | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | Product introduction
Journal Article
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 06/2017, Volume 104, pp. 49 - 60
Journal Article
International journal of parallel programming, ISSN 1573-7640, 2018, Volume 47, Issue 2, pp. 213 - 233
Journal Article
Journal of parallel and distributed computing, ISSN 0743-7315, 2018, Volume 120, pp. 44 - 61
...). The goal of our work is to address this limitation by combining the high precision available on a CPU with the power efficiency of a mobile GPU... 
Data analysis | Machine learning | Heterogeneous system | OpenCL | Acceleration | GPGPU | Mobile computing | PCA | Energy efficient | SCHEME | COMPUTER SCIENCE, THEORY & METHODS | Computer science | Information science | Mobile devices
Journal Article
IEEE Micro, ISSN 0272-1732, 11/2012, Volume 32, Issue 6, pp. 4 - 16
Journal Article
Concurrency and Computation: Practice and Experience, ISSN 1532-0626, 04/2017, Volume 29, Issue 7, pp. e3919 - n/a
Journal Article
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 10/2019, Volume 132, pp. 79 - 94
Heterogeneous computing machines consisting of a CPU and one or more GPUs are increasingly being used today because of their higher performance-cost ratio and lower energy consumption... 
Device suitability | Heterogeneous system | Scheduling | Load-balancing | Machine learning | COMPUTER SCIENCE, THEORY & METHODS
Journal Article
The Journal of supercomputing, ISSN 1573-0484, 2018, Volume 74, Issue 7, pp. 3388 - 3414
Shared last-level cache (LLC) in on-chip CPU–GPU heterogeneous architectures is critical to the overall system performance, since CPU and GPU applications usually show completely different characteristics on cache accesses... 
Processor Architectures | Hybrid cache | Programming Languages, Compilers, Interpreters | CPU–GPU heterogeneous architectures | STT-RAM | Computer Science | Computer Science, general | Shared memory | CPU-GPU heterogeneous architectures | ENERGY | DESIGN | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | PERFORMANCE | POWER | ENGINEERING, ELECTRICAL & ELECTRONIC | MRAM | COMPUTER SCIENCE, THEORY & METHODS | CIRCUIT | Computer science | Architecture | Memory (Computers) | Memory
Journal Article
Parallel computing, ISSN 0167-8191, 2015, Volume 46, pp. 1 - 13
•Introduction of software design concepts for multi-GPU simulations.•A study on how to efficiently exploit heterogeneous compute nodes.•A detailed analysis of... 
CUDA | Performance modeling | Heterogeneous computations | Lattice Boltzmann method | Boltzmann method | Lattice | PROCESSING UNITS | COMPUTER SCIENCE, THEORY & METHODS | FLOWS
Journal Article
The Journal of supercomputing, ISSN 1573-0484, 2016, Volume 73, Issue 1, pp. 114 - 125
Journal Article
International Journal of Parallel Programming, ISSN 0885-7458, 4/2014, Volume 42, Issue 2, pp. 384 - 404
This paper presents a cooperative heterogeneous computing framework which enables the efficient utilization of available computing resources of host CPU cores for CUDA kernels, which are designed to run only on GPU... 
Processor Architectures | CUDA | Computer Science | Software Engineering/Programming and Operating Systems | Parallel processing | Theory of Computation | Heterogeneous computing | GPGPU | COMPUTER SCIENCE, THEORY & METHODS | PROGRAMMING-MODEL | Usage | Central processing units | Graphics coprocessors | Microprocessors | Methods | Studies | Kernels | Utilization | Computation | Run time (computers) | Texts | Scheduling | Workload
Journal Article
Parallel Computing, ISSN 0167-8191, 04/2013, Volume 39, Issue 4-5, pp. 189 - 211
Journal Article
The Journal of supercomputing, ISSN 1573-0484, 2019, Volume 76, Issue 7, pp. 5038 - 5056
.... The backend is capable of automatically dividing the workload and simultaneously executing the computation on a multi-core CPU and any number of accelerators, such as GPUs... 
Workload partitioning | Hybrid execution | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | Skeleton programming | COMPUTER SCIENCE, THEORY & METHODS | Heterogeneous computing | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
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