Papers on hgpu.org (.txt-file)
Redução de Complexidade de Tempo em GPUs
Reduced Vlasov-Maxwell simulations
Reducing Beamforming Calculation Time with GPU Accelerated Algorithms
Reducing branch divergence in GPU programs
Reducing branch divergence to speed up parallel execution of unit testing on GPUs
Reducing data access latency in SDSM systems using runtime optimizations
Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization
Reducing IO bandwidth for GPU based moment invariant classifier systems
Reducing overheads of dynamic scheduling on heterogeneous chips
Reducing shading on GPUs using quad-fragment merging
Reducing the Code Degree Of Parallelism to Increase GPUs Reliability
Reducing the Cost of Heuristic Generation with Machine Learning
Reducing the Disk IO Bandwidth Bottleneck through Fast Floating Point Compression using Accelerators
Reducing the Size of Nurbs Controls Nets Using Genetic Algorithms and CUDA
Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm
Reducing Thread Divergence in GPU-based B and B Applied to the Flow-shop problem
Reducing Thread Divergence in GPU-based B&B Applied to the Flow-shop problem
Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs
Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads
Refinements in Syntactic Parsing
Refining HPCToolkit for application performance analysis at exascale
Reflective Shadow Map Clustering for Real-Time Global Illumination
Reflector Antenna Analysis using Physical Optics on Graphics Processing Units
Refresh Rate Modulation for Perceptually Optimized Computer Graphics
ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing
Region Templates: Data Representation and Management for Large-Scale Image Analysis
Regional Heritability Advanced Complex Trait Analysis for GPU and Traditional Parallel Architectures
Register packing for cyclic reduction: a case study
Register-leaning kernels in CUDA
Regression Modelling of Power Consumption for Heterogeneous Processors
Regular Expression Matching and Operational Semantics
Regular Expression Matching on Graphics Hardware for Intrusion Detection
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Regularity versus Load-Balancing on GPU for treefix computations
Regularization and nonlinearities for neural language models: when are they needed?
Reinforcement Learning Strategies for Compiler Optimization in High level Synthesis
Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field
Relational Algorithms for Multi-Bulk-Synchronous Processors
Relational joins on graphics processors
Relational query coprocessing on graphics processors
Relativistic Hydrodynamics on Graphic Cards
Relativistic hydrodynamics on graphics processing units
Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling
Reliability modeling of MEMS devices on CUDA based HPC setup
REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time
Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering
Remote Sensing Processing: From Multicore to GPU
Remotely Keyed Cryptographics Secure Remote Display Access Using (Mostly) Untrusted Hardware
Removing the Barrier for FPGA-Based OpenCL Data Center Servers
RenderAnts: Interactive REYES Rendering on GPUs
Rendering Forest Scenes in Real-Time
Rendering of 3D Dynamic Virtual Environments
Rendering Volumetric Haptic Shapes in Mid-Air using Ultrasound
RenderKernel: High-level programming for real-time rendering systems
REOH: Runtime Energy Optimization for Heterogeneous Systems
Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution
Reordering strategy for blocking optimization in sparse linear solvers
Report on the Feasibility of Implementing PIC Codes on a GPU
Representing Higher-Order Singularities in Vector Fields on Piecewise Linear Surfaces
Reproducible and Accurate Matrix Multiplication for GPU Accelerators
Reproducible Triangular Solvers for High-Performance Computing
Research and Application of Parallel Computing Technologies based on CUDA and OpenCL
Research and Development of Porting SYCL on QNX Operating System for High Parallelism
Research for Chinese Spam Filtering Based on GPU
Research on a Parallel BD-tree Index Structure
Research on ATI-CAL for accelerating FBP reconstruction
Research on CUDA-based Kriging Interpolation Algorithm
Research on double negative materials by using FDTD method based on GPUs
Research on DSP-GPU Heterogeneous Computing System
Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method
Research on OpenCL optimization for FPGA deep learning application
Research on Parallel DVH Statistic Based on CUDA
Research on Real-Time LLL Imaging Generation Method Based on GPU
Research on the fast Fourier transform of image based on GPU
Research on the simulation of PF-LBM model based on MPI+CUDA mixed granularity parallel
Research on Three-Dimensional Playing Video Technology in Virtual Education Environment
Reservoir Simulation on NVIDIA Tesla GPUs
Resolution of the Vlasov-Maxwell system by PIC Discontinuous Galerkin method on GPU with OpenCL
Resolving the conflict between generality and plausibility in verified computation
Resource Centered Computing delivering high parallel performance
Resource Elastic Virtualization for FPGAs using OpenCL
Resource Sharing in GPU-Accelerated Windowing Systems
Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores
Resource-Aware Just-in-Time OpenCL Compiler for Coarse-Grained FPGA Overlays
ReSYCLator: Transforming CUDA C++ source code into SYCL
Retargeting and Respecializing GPU Workloads for Performance Portability
Rethinking resampling in the particle filter on graphics processing units
Rethinking Runtime Verification on Hundreds of Cores: Challenges and Opportunities
Rethinking the Union of Computed Tomography Reconstruction and GPGPU Computing
Returning control to the programmer: SIMD intrinsics for virtual machines
RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
Reusable OpenCL FPGA Infrastructure
Reusable software components for accelerator-based clusters
Titles: 100
open PDFs: 94
packages: 15