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Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/hpca.2012.6168946openalex-snapshot
The case for GPGPU spatial multitasking
inferredcites →https://doi.org/10.1109/iiswc.2009.5306797openalex-snapshot
Rodinia: A benchmark suite for heterogeneous computing
inferredcites →https://doi.org/10.1109/iiswc.2010.5650274openalex-snapshot
A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads
inferredcites →https://doi.org/10.1109/saahpc.2012.12openalex-snapshot
On Improving the Performance of Multi-threaded CUDA Applications with Concurrent Kernel Execution by Kernel Reordering
inferredcites →https://doi.org/10.1109/tpds.2014.2313342openalex-snapshot
Efficient GPU Spatial-Temporal Multitasking
inferredcites →https://doi.org/10.1145/1815961.1815998openalex-snapshot
An integrated GPU power and performance model
inferredcites →https://doi.org/10.1145/2451116.2451160openalex-snapshot
Improving GPGPU concurrency with elastic kernels
inferredcites →https://doi.org/10.1145/2597917.2597925openalex-snapshot
Symbiotic scheduling of concurrent GPU kernels for performance and energy optimizations
inferredcites →https://doi.org/10.3390/computers2040176openalex-snapshot
Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-72792-5_34openalex-snapshot
A Dynamic Acceleration Method for Remote Sensing Image Processing Based on CUDA
inferred← citeshttps://doi.org/10.1007/978-3-030-90539-2_16openalex-snapshot
Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review
inferred← citeshttps://doi.org/10.1007/s11265-019-01448-7openalex-snapshot
GPGPU Based Parallel Implementation of Spectral Correlation Density Function
inferred← citeshttps://doi.org/10.1007/s11276-021-02715-xopenalex-snapshot
RETRACTED ARTICLE: A dynamic acceleration method for remote sensing image processing based on CUDA
inferred← citeshttps://doi.org/10.1007/s11554-020-00979-8openalex-snapshot
Combined kernel for fast GPU computation of Zernike moments
inferred← citeshttps://doi.org/10.1016/j.jpdc.2017.07.008openalex-snapshot
Efficient optimization approach for fast GPU computation of Zernike moments
inferred← citeshttps://doi.org/10.1145/3677129openalex-snapshot
Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching
inferred← citeshttps://doi.org/10.17760/d20249271openalex-snapshot
Characterization and exploitation of nested parallelism and concurrent kernel execution to accelerate high performance applications
inferred← citeshttps://doi.org/10.32734/jocai.v2.i2-324openalex-snapshot
Enhancing Performance of Parallel Self-Organizing Map on Large Dataset with Dynamic Parallel and Hyper-Q
inferred← citeshttps://doi.org/10.35784/acs-2021-17openalex-snapshot
PERFORMANCE ENHANCEMENT OF CUDA APPLICATIONS BY OVERLAPPING DATA TRANSFER AND KERNEL EXECUTION
inferred← citeshttps://doi.org/10.5121/ijcsea.2016.6501openalex-snapshot
Comparing Programmer Productivity in Openacc and Cuda : An Empirical Investigation
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