Papers on hgpu.org (.txt-file)
Performance assessment of CUDA and OpenACC in large scale combustion simulations
Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs
Performance Assessment of using OpenCL on FPGA Systems for ODE Solvers
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
Performance benchmarking of deep learning framework on Intel Xeon Phi
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
Performance characterization of data-intensive kernels on AMD Fusion architectures
Performance Comparison Between Cg-based and CUDA-based Matrix Multiplications
Performance Comparison for Neuroscience Application Benchmarks
Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs
Performance Comparison of Cholesky Decomposition on GPUs and FPGAs
Performance comparison of FPGA, GPU and CPU in image processing
Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA
Performance comparison of GPU and FPGA architectures for the SVM training problem
Performance Comparison of GPUs with a Genetic Algorithm based on CUDA
Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study
Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks
Performance Comparison with OpenMP Parallelization for Multi-core Systems
Performance Considerations When Using a Dedicated Ray Traversal Engine
Performance Counters based Power Modeling of Mobile GPUs using Deep Learning
Performance Debugging Frameworks for FPGA High-Level Synthesis
Performance Debugging of GPGPU Applications with the Divergence Map
Performance Degradation Analysis of GPU Kernels
Performance Drawbacks for Matrix Multiplication using Set Associative Cache in GPU devices
Performance Efficient DNA Sequence Detection on GPU Using Parallel Pattern Matching Approach
Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator
Performance Engineering for a Tall & Skinny Matrix Multiplication Kernel on GPUs
Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems
Performance enhancement of MAGIC FDTD-PIC plasma-wave simulations using GPU processing
Performance Evaluation and Analysis of Sparse Matrix and Graph Kernels on Heterogeneous Processors
Performance Evaluation and Improvements of the PoCL Open-Source OpenCL Implementation on Intel CPUs
Performance Evaluation and Optimization of HPCG benchmark on CPU + MIC platform
Performance evaluation and optimization of random memory access on multicores with high productivity
Performance Evaluation and Tuning of An OpenCL based Matrix Multiplier
Performance Evaluation of Advanced Features in CUDA Unified Memory
Performance Evaluation of Blocking and NonBlocking Concurrent Queues on GPUs
Performance Evaluation of Concurrent Lock-free Data Structures on GPUs
Performance Evaluation of Container-based Virtualization for High Performance Computing Environments
Performance evaluation of CUDA programming for machining simulation
Performance evaluation of deep learning on smartphones
Performance Evaluation of Deep Learning Tools in Docker Containers
Performance Evaluation of Edge Detection Techniques on GPU Using OpenCL
Performance Evaluation of Feature Extraction Algorithm on GPGPU
Performance evaluation of GPU memory hierarchy using the FFT
Performance evaluation of H.264/AVC decoding and visualization using the GPU
Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations
Performance evaluation of image processing algorithms on the GPU
Performance Evaluation of Intel Xeon Phi Coprocessor using XKaapi
Performance Evaluation of Mixed Precision Algorithms for Solving Sparse Linear Systems
Performance Evaluation of OpenMP’s Target Construct on GPUs – Exploring Compiler Optimizations
Performance Evaluation of OpenMP’s Target Construct on GPUs: Exploring Compiler Optimizations
Performance Evaluation of Parallel AES Implementations over CUDA GPU Framework
Performance Evaluation of Parallel Count Sort using GPU Computing with CUDA
Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA
Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py
Performance Evaluation of Query Processing Algorithms on GPGPUs
Performance Evaluation of R with Intel Xeon Phi Coprocessor
Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi
Performance evaluation of the multi-device OpenCL FDTD solver
Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning
Performance Evaluation of the Ocean-Land-Atmosphere Model Using Graphics Processing Units
Performance Evaluations of Document-Oriented Databases using GPU and Cache Structure
Performance Evaluations of Graph Database using CUDA and OpenMP-Compatible Libraries
Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs
Performance Gains in Conjugate Gradient Computation with Linearly Connected GPU Multiprocessors
Performance Impact of Data Layout on the GPU-accelerated IDW Interpolation
Performance impact of dynamic parallelism on different clustering algorithms
Performance Impact of Memory Channels on Sparse and Irregular Algorithms
Performance Improvement of Data Mining in Weka through GPU Acceleration
Performance Improvement of Multichannel Audio by Graphics Processing Units
Performance Improvement of Optical Algorithms on Multicore Platforms
Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit
Performance improvements of real-time crowd simulations
Performance in GPU Architectures: Potentials and Distances
Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Performance modeling of atomic additions on GPU scratchpad memory
Performance Modeling, Optimization, and Characterization on Heterogeneous Architectures
Performance Modelling and Traffic Characterisation of Optical Networks
Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures
Performance models for CPU-GPU data transfers
Performance models for CUDA streams on NVIDIA GeForce series
Performance Models for Heterogeneous Iterative Programs
Performance Monitoring of Multi-FPGA Systems
Performance of Confidential Computing GPUs
Performance of CPU and GPU HPC Architectures for off-design aircraft simulation
Titles: 100
open PDFs: 93
packages: 13
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