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Optimization Techniques for GPU Programming

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inferredcites →https://doi.org/10.1002/cpe.1658openalex-snapshot
A new approach for sparse matrix vector product on NVIDIA GPUs
inferredcites →https://doi.org/10.1002/cpe.1913openalex-snapshot
Optimization schemes and performance evaluation of Smith–Waterman algorithm on CPU, GPU and FPGA
inferredcites →https://doi.org/10.1002/cpe.2931openalex-snapshot
Reducing thread divergence in a GPU‐accelerated branch‐and‐bound algorithm
inferredcites →https://doi.org/10.1002/cpe.3629openalex-snapshot
Efficient CPU‐GPU cooperative computing for solving the subset‐sum problem
inferredcites →https://doi.org/10.1002/cpe.3722openalex-snapshot
GPUSGD: A GPU‐accelerated stochastic gradient descent algorithm for matrix factorization
inferredcites →https://doi.org/10.1002/cpe.3744openalex-snapshot
Improving performance of GPU code using novel features of the NVIDIA kepler architecture
inferredcites →https://doi.org/10.1002/cpe.3751openalex-snapshot
A novel parallel deblocking filtering strategy for HEVC/H.265 based on GPU
inferredcites →https://doi.org/10.1002/cpe.3836openalex-snapshot
Reducing thread divergence in GPU‐based bees swarm optimization applied to association rule mining
inferredcites →https://doi.org/10.1002/cpe.3874openalex-snapshot
Performance optimization of Sparse Matrix‐Vector Multiplication for multi‐component PDE‐based applications using GPUs
inferredcites →https://doi.org/10.1002/cpe.3970openalex-snapshot
Systematic adaptation of stencil‐based 3D MPDATA to GPU architectures
inferredcites →https://doi.org/10.1002/cpe.3973openalex-snapshot
Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework
inferredcites →https://doi.org/10.1002/cpe.4055openalex-snapshot
Solving dense symmetric indefinite systems using GPUs
inferredcites →https://doi.org/10.1002/cpe.4064openalex-snapshot
Efficient and high‐quality sparse graph coloring on GPUs
inferredcites →https://doi.org/10.1002/cpe.4187openalex-snapshot
A framework for dense triangular matrix kernels on various manycore architectures
inferredcites →https://doi.org/10.1002/cpe.4470openalex-snapshot
Accelerating explicit ODE methods on GPUs by kernel fusion
inferredcites →https://doi.org/10.1002/cpe.4705openalex-snapshot
Efficient dense matrix‐vector multiplication on GPU
inferredcites →https://doi.org/10.1002/cpe.4947openalex-snapshot
Bulk execution of the dynamic programming for the optimal polygon triangulation problem on the GPU
inferredcites →https://doi.org/10.1002/cpe.5048openalex-snapshot
Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures
inferredcites →https://doi.org/10.1002/cpe.5754openalex-snapshot
Reducing the amount of out‐of‐core data access for GPU‐accelerated randomized SVD
inferredcites →https://doi.org/10.1002/nme.2989openalex-snapshot
Assembly of finite element methods on graphics processors
inferredcites →https://doi.org/10.1002/nme.3240openalex-snapshot
Optimizing the multipole‐to‐local operator in the fast multipole method for graphical processing units
inferredcites →https://doi.org/10.1007/3-540-36574-5_10openalex-snapshot
An Overview of Cache Optimization Techniques and Cache-Aware Numerical Algorithms
inferredcites →https://doi.org/10.1007/978-3-030-16205-4_9openalex-snapshot
Improving Performance and Energy Efficiency of Geophysics Applications on GPU Architectures
inferredcites →https://doi.org/10.1007/978-3-030-22744-9_35openalex-snapshot
Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence
inferredcites →https://doi.org/10.1007/978-3-030-29400-7_36openalex-snapshot
Radio-Astronomical Imaging: FPGAs vs GPUs
inferredcites →https://doi.org/10.1007/978-3-030-41050-6_11openalex-snapshot
A GPU-Based Parallel Reduction Implementation
inferredcites →https://doi.org/10.1007/978-3-030-69244-5_4openalex-snapshot
Memory Access Optimization of High-Order CFD Stencil Computations on GPU
inferredcites →https://doi.org/10.1007/978-3-319-19638-1_6openalex-snapshot
Data Reordering for Minimizing Threads Divergence in GPU-Based Evaluating Association Rules
inferredcites →https://doi.org/10.1007/978-3-319-48989-6_42openalex-snapshot
GPUexplore 2.0: Unleashing GPU Explicit-State Model Checking
inferredcites →https://doi.org/10.1007/978-3-319-96983-1_48openalex-snapshot
Design Principles for Sparse Matrix Multiplication on the GPU
inferredcites →https://doi.org/10.1007/978-3-540-87403-4_7openalex-snapshot
Gnort: High Performance Network Intrusion Detection Using Graphics Processors
inferredcites →https://doi.org/10.1007/978-3-642-01970-8_89openalex-snapshot
A Note on Auto-tuning GEMM for GPUs
inferredcites →https://doi.org/10.1007/978-3-642-03644-6_12openalex-snapshot
Performance Optimization Strategies of High Performance Computing on GPU
inferredcites →https://doi.org/10.1007/978-3-642-11515-8_10openalex-snapshot
Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures
inferredcites →https://doi.org/10.1007/978-3-642-15031-9_19openalex-snapshot
Performance Analysis of the SHA-3 Candidates on Exotic Multi-core Architectures
inferredcites →https://doi.org/10.1007/978-3-642-24151-2_11openalex-snapshot
Optimization of N-Queens Solvers on Graphics Processors
inferredcites →https://doi.org/10.1007/978-3-642-29347-4_51openalex-snapshot
SVM with CUDA Accelerated Kernels for Big Sparse Problems
inferredcites →https://doi.org/10.1007/978-3-642-33078-0_1openalex-snapshot
Accelerating the Dynamic Programming for the Optimal Polygon Triangulation on the GPU
inferredcites →https://doi.org/10.1007/978-3-642-35740-4_29openalex-snapshot
A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework
inferredcites →https://doi.org/10.1007/978-3-642-36949-0_23openalex-snapshot
Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU
inferredcites →https://doi.org/10.1007/978-3-642-37658-0_8openalex-snapshot
Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs
inferredcites →https://doi.org/10.1007/978-3-642-38241-3_6openalex-snapshot
Optimizations with CUDA: A Case Study on 3D Curve-Skeleton Extraction from Voxelized Models
inferredcites →https://doi.org/10.1007/978-3-642-38750-0_10openalex-snapshot
On the GPU Performance of 3D Stencil Computations Implemented in OpenCL
inferredcites →https://doi.org/10.1007/978-3-642-39640-3_15openalex-snapshot
Optimization of Sparse Matrix-Vector Multiplication for CRS Format on NVIDIA Kepler Architecture GPUs
inferredcites →https://doi.org/10.1007/978-3-642-40047-6_82openalex-snapshot
Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs
inferredcites →https://doi.org/10.1007/978-3-642-41278-3_64openalex-snapshot
Genetic Algorithm on GPU Performance Optimization Issues
inferredcites →https://doi.org/10.1007/978-3-642-54807-9_8openalex-snapshot
Taming Control Divergence in GPUs through Control Flow Linearization
inferredcites →https://doi.org/10.1007/978-981-33-4859-2_27openalex-snapshot
Optimization of Ray-Tracing Algorithm for Simulation of PMD Sensors
inferredcites →https://doi.org/10.1007/s00138-012-0443-3openalex-snapshot
An optimized approach to histogram computation on GPU
inferredcites →https://doi.org/10.1007/s00607-014-0434-5openalex-snapshot
A new memory mapping mechanism for GPGPUs’ stencil computation
inferredcites →https://doi.org/10.1007/s00607-019-00744-1openalex-snapshot
A review of CUDA optimization techniques and tools for structured grid computing
inferredcites →https://doi.org/10.1007/s00778-015-0409-yopenalex-snapshot
GPU-accelerated string matching for database applications
inferredcites →https://doi.org/10.1007/s10586-019-02961-xopenalex-snapshot
Exploring the parallel capabilities of GPU: Berlekamp-Massey algorithm case study
inferredcites →https://doi.org/10.1007/s10707-017-0312-3openalex-snapshot
A compiler approach to map algebra: automatic parallelization, locality optimization, and GPU acceleration of raster spatial analysis
inferredcites →https://doi.org/10.1007/s10766-012-0228-3openalex-snapshot
The Implementation of a High Performance GPGPU Compiler
inferredcites →https://doi.org/10.1007/s10766-016-0430-9openalex-snapshot
Adaptive Optimization $$l_1$$ l 1 -Minimization Solvers on GPU
inferredcites →https://doi.org/10.1007/s11042-012-1053-9openalex-snapshot
Optimising lossless stages in a GPU-based MPEG encoder
inferredcites →https://doi.org/10.1007/s11042-021-10642-4openalex-snapshot
Acceleration techniques for cubic interpolation MIP volume rendering
inferredcites →https://doi.org/10.1007/s11227-011-0626-0openalex-snapshot
Performance modeling and optimization of sparse matrix-vector multiplication on NVIDIA CUDA platform
inferredcites →https://doi.org/10.1007/s11227-011-0631-3openalex-snapshot
A comparative study of GPU programming models and architectures using neural networks
inferredcites →https://doi.org/10.1007/s11227-014-1102-4openalex-snapshot
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study
inferredcites →https://doi.org/10.1007/s11227-015-1483-zopenalex-snapshot
Optimizing CUDA code by kernel fusion: application on BLAS
inferredcites →https://doi.org/10.1007/s11227-015-1613-7openalex-snapshot
A high-performance matrix–matrix multiplication methodology for CPU and GPU architectures
inferredcites →https://doi.org/10.1007/s11227-016-1738-3openalex-snapshot
Optimization of parallel iterated local search algorithms on graphics processing unit
inferredcites →https://doi.org/10.1007/s11227-017-1972-3openalex-snapshot
SpMV and BiCG-Stab optimization for a class of hepta-diagonal-sparse matrices on GPU
inferredcites →https://doi.org/10.1007/s11227-017-2041-7openalex-snapshot
Reconstructing permutation table to improve the Tabu Search for the PFSP on GPU
inferredcites →https://doi.org/10.1007/s11227-017-2225-1openalex-snapshot
A survey of graph processing on graphics processing units
inferredcites →https://doi.org/10.1007/s11554-012-0309-yopenalex-snapshot
Real-time moving object detection algorithm on high-resolution videos using GPUs
inferredcites →https://doi.org/10.1007/s11704-019-8184-3openalex-snapshot
An efficient GPU-based parallel tabu search algorithm for hardware/software co-design
inferredcites →https://doi.org/10.1007/s11771-017-3676-5openalex-snapshot
Impacts of optimization strategies on performance, power/energy consumption of a GPU based parallel reduction
inferredcites →https://doi.org/10.1016/b978-0-12-384988-5.00006-1openalex-snapshot
An Efficient CUDA Implementation of the Tree-Based Barnes Hut n-Body Algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2010.10.007openalex-snapshot
Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA
inferredcites →https://doi.org/10.1016/j.camwa.2013.10.002openalex-snapshot
Optimized implementation of the Lattice Boltzmann Method on a graphics processing unit towards real-time fluid simulation
inferredcites →https://doi.org/10.1016/j.cmpb.2010.10.013openalex-snapshot
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms
inferredcites →https://doi.org/10.1016/j.compfluid.2012.02.013openalex-snapshot
Performance engineering for the lattice Boltzmann method on GPGPUs: Architectural requirements and performance results
inferredcites →https://doi.org/10.1016/j.compfluid.2012.06.003openalex-snapshot
An optimized D2Q37 Lattice Boltzmann code on GP-GPUs
inferredcites →https://doi.org/10.1016/j.compfluid.2012.09.013openalex-snapshot
Optimizing 2D and 3D structured Euler CFD solvers on Graphical Processing Units
inferredcites →https://doi.org/10.1016/j.compfluid.2018.05.030openalex-snapshot
GPU-accelerated 3-D Finite Volume Particle Method
inferredcites →https://doi.org/10.1016/j.cor.2011.03.014openalex-snapshot
Solving knapsack problems on GPU
inferredcites →https://doi.org/10.1016/j.cpc.2011.01.025openalex-snapshot
Performance analysis and optimization of three-dimensional FDTD on GPU using roofline model
inferredcites →https://doi.org/10.1016/j.cpc.2012.10.015openalex-snapshot
Optimization strategies for CPU and GPU implementations of a smoothed particle hydrodynamics method
inferredcites →https://doi.org/10.1016/j.cpc.2014.06.003openalex-snapshot
Memory transfer optimization for a lattice Boltzmann solver on Kepler architecture nVidia GPUs
inferredcites →https://doi.org/10.1016/j.future.2013.09.003openalex-snapshot
Optimizing convolution operations on GPUs using adaptive tiling
inferredcites →https://doi.org/10.1016/j.future.2018.08.004openalex-snapshot
Kernel Tuner: A search-optimizing GPU code auto-tuner
inferredcites →https://doi.org/10.1016/j.future.2019.09.052openalex-snapshot
WolfGraph: The edge-centric graph processing on GPU
inferredcites →https://doi.org/10.1016/j.future.2020.02.069openalex-snapshot
A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit
inferredcites →https://doi.org/10.1016/j.image.2013.08.001openalex-snapshot
Accelerated implementation of adaptive directional lifting-based discrete wavelet transform on GPU
inferredcites →https://doi.org/10.1016/j.jocs.2018.01.005openalex-snapshot
Batched one-sided factorizations of tiny matrices using GPUs: Challenges and countermeasures
inferredcites →https://doi.org/10.1016/j.jpdc.2008.05.011openalex-snapshot
Program optimization carving for GPU computing
inferredcites →https://doi.org/10.1016/j.jpdc.2012.01.002openalex-snapshot
Enhancing data parallelism for Ant Colony Optimization on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2012.01.003openalex-snapshot
Parallel Ant Colony Optimization on Graphics Processing Units
inferredcites →https://doi.org/10.1016/j.jpdc.2012.04.003openalex-snapshot
Graphics processing unit (GPU) programming strategies and trends in GPU computing
inferredcites →https://doi.org/10.1016/j.jpdc.2014.11.001openalex-snapshot
A model-driven blocking strategy for load balanced sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2015.11.001openalex-snapshot
A high-throughput DPI engine on GPU via algorithm/implementation co-optimization
inferredcites →https://doi.org/10.1016/j.jpdc.2016.03.011openalex-snapshot
Optimization techniques for sparse matrix–vector multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2017.12.002openalex-snapshot
High-throughput Ant Colony Optimization on graphics processing units
inferredcites →https://doi.org/10.1016/j.jpdc.2018.07.018openalex-snapshot
Optimizing sparse tensor times matrix on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2018.10.012openalex-snapshot
Efficient parallel optimizations of a high-performance SIFT on GPUs
inferredcites →https://doi.org/10.1016/j.jpdc.2018.11.012openalex-snapshot
A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity
inferredcites →https://doi.org/10.1016/j.jpdc.2019.03.014openalex-snapshot
Fast block distributed CUDA implementation of the Hungarian algorithm
inferredcites →https://doi.org/10.1016/j.jpdc.2020.02.003openalex-snapshot
On-GPU thread-data remapping for nested branch divergence
inferredcites →https://doi.org/10.1016/j.jpdc.2021.02.013openalex-snapshot
TSM2X: High-performance tall-and-skinny matrix–matrix multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.newast.2007.05.004openalex-snapshot
High-performance direct gravitational N-body simulations on graphics processing units
inferredcites →https://doi.org/10.1016/j.parco.2009.12.005openalex-snapshot
Towards dense linear algebra for hybrid GPU accelerated manycore systems
inferredcites →https://doi.org/10.1016/j.parco.2013.08.002openalex-snapshot
Efficient 3D stencil computations using CUDA
inferredcites →https://doi.org/10.1016/j.parco.2014.03.013openalex-snapshot
Improving cache locality for GPU-based volume rendering
inferredcites →https://doi.org/10.1016/j.parco.2016.01.008openalex-snapshot
A GPU-based Branch-and-Bound algorithm using Integer–Vector–Matrix data structure
inferredcites →https://doi.org/10.1016/j.parco.2017.11.003openalex-snapshot
Benchmarking the GPU memory at the warp level
inferredcites →https://doi.org/10.1016/j.parco.2019.102589openalex-snapshot
GPU-based parallel multi-objective particle swarm optimization for large swarms and high dimensional problems
inferredcites →https://doi.org/10.1016/j.parco.2021.102874openalex-snapshot
Accelerating Domain Propagation: An Efficient GPU-Parallel Algorithm over Sparse Matrices
inferredcites →https://doi.org/10.1016/j.patrec.2019.06.018openalex-snapshot
GPU based parallel optimization for real time panoramic video stitching
inferredcites →https://doi.org/10.1016/j.procs.2011.04.036openalex-snapshot
Multi-level Optimization of Matrix Multiplication for GPU-equipped Systems
inferredcites →https://doi.org/10.1016/j.procs.2012.04.011openalex-snapshot
A Fast Implementation and Performance Analysis of Collisionless N-body Code Based on GPGPU
inferredcites →https://doi.org/10.1016/j.procs.2012.04.209openalex-snapshot
CUDA: Compiling and optimizing for a GPU platform
inferredcites →https://doi.org/10.1016/j.procs.2013.05.196openalex-snapshot
An Architecture-aware Technique for Optimizing Sparse Matrix-vector Multiplication on GPUs
inferredcites →https://doi.org/10.1016/j.procs.2016.05.303openalex-snapshot
Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs
inferredcites →https://doi.org/10.1016/j.procs.2016.05.304openalex-snapshot
Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU
inferredcites →https://doi.org/10.1016/j.sysarc.2019.01.011openalex-snapshot
A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform
inferredcites →https://doi.org/10.1016/j.sysarc.2019.101635openalex-snapshot
A survey of techniques for optimizing deep learning on GPUs
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1049/iet-cdt.2017.0149openalex-snapshot
CUDA memory optimisation strategies for motion estimation
inferredcites →https://doi.org/10.1080/17445760.2012.703195openalex-snapshot
Accelerating computation of Euclidean distance map using the GPU with efficient memory access
inferredcites →https://doi.org/10.1093/comjnl/bxr062openalex-snapshot
Performance Analysis and Optimization of the OP2 Framework on Many-Core Architectures
inferredcites →https://doi.org/10.1109/access.2020.3002610openalex-snapshot
Optimization for Multi-Join Queries on the GPU
inferredcites →https://doi.org/10.1109/access.2021.3077551openalex-snapshot
Optimization of Advanced Encryption Standard on Graphics Processing Units
inferredcites →https://doi.org/10.1109/bicta.2010.5645235openalex-snapshot
The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9006579openalex-snapshot
GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals
inferredcites →https://doi.org/10.1109/bmsb.2016.7521938openalex-snapshot
GPU accelerated high-quality video/image super-resolution
inferredcites →https://doi.org/10.1109/candar.2015.13openalex-snapshot
A Warp-Synchronous Implementation for Multiple-Length Multiplication on the GPU
inferredcites →https://doi.org/10.1109/candar.2015.26openalex-snapshot
Using Dynamic Parallelism for Fine-Grained, Irregular Workloads: A Case Study of the N-Queens Problem
inferredcites →https://doi.org/10.1109/candar.2017.35openalex-snapshot
Single Kernel Soft Synchronization Technique for Task Arrays on CUDA-enabled GPUs, with Applications
inferredcites →https://doi.org/10.1109/candarw51189.2020.00041openalex-snapshot
An Efficient Skinny Matrix-Matrix Multiplication Method by Folding Input Matrices into Tensor Core Operations
inferredcites →https://doi.org/10.1109/ccgrid.2014.16openalex-snapshot
Performance Models for CPU-GPU Data Transfers
inferredcites →https://doi.org/10.1109/ccgrid.2016.13openalex-snapshot
Graph-Oriented Code Transformation Approach for Register-Limited Stencils on GPUs
inferredcites →https://doi.org/10.1109/ccgrid.2016.30openalex-snapshot
Generalized GPU Acceleration for Applications Employing Finite-Volume Methods
inferredcites →https://doi.org/10.1109/cgc.2012.98openalex-snapshot
Implementing Smith-Waterman Algorithm with Two-Dimensional Cache on GPUs
inferredcites →https://doi.org/10.1109/cgo51591.2021.9370321openalex-snapshot
Compiling Graph Applications for GPU s with GraphIt
inferredcites →https://doi.org/10.1109/chinagrid.2011.45openalex-snapshot
Optimizing Algorithm of Sparse Linear Systems on GPU
inferredcites →https://doi.org/10.1109/cit.2010.208openalex-snapshot
Improving the Performance of the Sparse Matrix Vector Product with GPUs
inferredcites →https://doi.org/10.1109/cluster.2017.75openalex-snapshot
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
inferredcites →https://doi.org/10.1109/cluster49012.2020.00050openalex-snapshot
Optimizing GPU Memory Transactions for Convolution Operations
inferredcites →https://doi.org/10.1109/compcomm.2015.7387546openalex-snapshot
Kepler GPU vs. Xeon Phi: Performance case study with a high-order CFD application
inferredcites →https://doi.org/10.1109/csci.2015.132openalex-snapshot
A Fast Parallel Selection Algorithm on GPUs
inferredcites →https://doi.org/10.1109/cse.2011.104openalex-snapshot
An Auto-tuning Solution to Data Streams Clustering in OpenCL
inferredcites →https://doi.org/10.1109/cse.2018.00014openalex-snapshot
Optimized GPU Implementation of JPEG 2000 for Satellite Image Decompression
inferredcites →https://doi.org/10.1109/fskd.2016.7603359openalex-snapshot
Performance optimization for CPU-GPU heterogeneous parallel system
inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.102openalex-snapshot
Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU
inferredcites →https://doi.org/10.1109/hipc.2012.6507483openalex-snapshot
Sparse matrix-matrix multiplication on modern architectures
inferredcites →https://doi.org/10.1109/hipc.2015.49openalex-snapshot
Memory-Efficient Parallelization of 3D Lattice Boltzmann Flow Solver on a GPU
inferredcites →https://doi.org/10.1109/hipc.2016.033openalex-snapshot
Memory-Efficient Parallel Simulation of Electron Beam Dynamics Using GPUs
inferredcites →https://doi.org/10.1109/hipc.2016.034openalex-snapshot
Cache-Friendly Design for Complex Spatially-Variable Coefficient Stencils on Many-Core Architectures
inferredcites →https://doi.org/10.1109/hipc.2018.00013openalex-snapshot
Sampled Dense Matrix Multiplication for High-Performance Machine Learning
inferredcites →https://doi.org/10.1109/hipc50609.2020.00044openalex-snapshot
Batched Small Tensor-Matrix Multiplications on GPUs
inferredcites →https://doi.org/10.1109/hpca.2011.5749714openalex-snapshot
Thread block compaction for efficient SIMT control flow
inferredcites →https://doi.org/10.1109/hpcc-css-icess.2015.270openalex-snapshot
Optimized Password Recovery for Encrypted RAR on GPUs
inferredcites →https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00068openalex-snapshot
Performance Analysis and Optimization for MTTKRP of Sparse Tensor on CPU and GPU
inferredcites →https://doi.org/10.1109/hpcc.2014.30openalex-snapshot
LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU
inferredcites →https://doi.org/10.1109/hpcs.2017.100openalex-snapshot
An Efficient Transaction-Based GPU Implementation of Minimum Spanning Forest Algorithm
inferredcites →https://doi.org/10.1109/hpcs48598.2019.9188120openalex-snapshot
High Performance Multilevel Graph Partitioning on GPU
inferredcites →https://doi.org/10.1109/hpcsim.2016.7568315openalex-snapshot
Efficient control flow restructuring for GPUs
inferredcites →https://doi.org/10.1109/hpec.2015.7322477openalex-snapshot
Algorithm Flattening: Complete branch elimination for GPU requires a paradigm shift from CPU thinking
inferredcites →https://doi.org/10.1109/hpec.2018.8547541openalex-snapshot
Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices on GPUs
inferredcites →https://doi.org/10.1109/hpec.2019.8916270openalex-snapshot
Progressive Optimization of Batched LU Factorization on GPUs
inferredcites →https://doi.org/10.1109/hpec43674.2020.9286223openalex-snapshot
Profiling and Optimization of CT Reconstruction on Nvidia Quadro GV100
inferredcites →https://doi.org/10.1109/icasi.2017.7988499openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccse.2012.28openalex-snapshot
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inferredcites →https://doi.org/10.1109/icde48307.2020.00085openalex-snapshot
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inferredcites →https://doi.org/10.1109/icpads51040.2020.00013openalex-snapshot
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inferredcites →https://doi.org/10.1109/icpp.2011.53openalex-snapshot
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inferredcites →https://doi.org/10.1109/icpp.2013.10openalex-snapshot
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inferredcites →https://doi.org/10.1109/icpp.2015.32openalex-snapshot
Optimizing Image Sharpening Algorithm on GPU
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A Comparison of Accelerator Architectures for Radio-Astronomical Signal-Processing Algorithms
inferredcites →https://doi.org/10.1109/icpp.2016.71openalex-snapshot
RegTT: Accelerating Tree Traversals on GPUs by Exploiting Regularities
inferredcites →https://doi.org/10.1109/icppw.2009.78openalex-snapshot
CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator
inferredcites →https://doi.org/10.1109/icsamos.2010.5642066openalex-snapshot
Compile-time GPU memory access optimizations
inferredcites →https://doi.org/10.1109/icstcc.2014.6982402openalex-snapshot
Double precision stencil computations on Kepler GPUs
inferredcites →https://doi.org/10.1109/ieacon.2016.8067397openalex-snapshot
Histogram optimization with CUDA
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SNU-NPB 2019: Parallelizing and Optimizing NPB in OpenCL and CUDA for Modern GPUs
inferredcites →https://doi.org/10.1109/imcom48794.2020.9001771openalex-snapshot
Performance Enhancement of GPU Parallel Computing Using Memory Allocation Optimization
inferredcites →https://doi.org/10.1109/infoseee.2014.6947772openalex-snapshot
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inferredcites →https://doi.org/10.1109/inpar.2012.6339596openalex-snapshot
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inferredcites →https://doi.org/10.1109/inpar.2012.6339602openalex-snapshot
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inferredcites →https://doi.org/10.1109/inpar.2012.6339605openalex-snapshot
Optimization and architecture effects on GPU computing workload performance
inferredcites →https://doi.org/10.1109/inpar.2012.6339608openalex-snapshot
Optimized strategies for mapping three-dimensional FFTs onto CUDA GPUs
inferredcites →https://doi.org/10.1109/ipdps.2009.5160931openalex-snapshot
An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases
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Amoeba Optimization Engine
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