Papers on hgpu.org (.txt-file)
HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Humanoid navigation planning using future perceptive capability

Hybrid Acceleration of a Molecular Dynamics Simulation Using Short-Ranged Potentials

Hybrid algorithms for efficient Cholesky decomposition and matrix inverse using multicore CPUs with GPU accelerators

Hybrid Algorithms for List Ranking and Graph Connected Components

Hybrid coherence for scalable multicore architectures

Hybrid computational voxelization using the graphics pipeline

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing
Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Hybrid CPU-GPU execution support in the skeleton programming framework SkePU

Hybrid CPU-GPU Framework for Network Motifs

Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Hybrid CPU-GPU Pipeline Framework

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Hybrid Embarrassingly Parallel on heterogeneous platform
Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model

Hybrid Framework for pairwise DNA Sequence Alignment Using the CUDA compatible GPU

Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation
Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Hybrid Monte Carlo CT Simulation on GPU

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Hybrid MPI and CUDA Parallelization for CFD Applications on Multi-GPU HPC Clusters

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Hybrid Multicore Algorithms for Some Semi-Numerical Applications and Graphs

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework
Hybrid OpenCL over high speed networks
Hybrid OpenCL: Connecting Different OpenCL Implementations over Network
Hybrid OpenCL: Enhancing OpenCL for Distributed Processing
Hybrid Parallel Light-Weight Programming of Hybrid Systems

Hybrid parallel programming – evaluation of OpenACC

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

Hybrid Particle Lattice Boltzmann Shallow Water for interactive fluid simulations

Hybrid Programming using OpenSHMEM and OpenACC

Hybrid quantum programming with PennyLane Lightning on HPC platforms

Hybrid Ray Tracing and Path Tracing of Bezier Surfaces Using A Mixed Hierarchy

Hybrid Sample-based Surface Rendering

Hybrid Scheduling for Event-driven Simulation over Heterogeneous Computers

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Hybrid smoothed particle hydrodynamics

Hybrid strategy for stencil computations on the APU

Hybrid Update Algorithms for Regular Lattice and Small-World Ising Models on Graphical Processing Units

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Hybrid Visualization for White Matter Tracts using Triangle Strips and Point Sprites

Hydra: a C++11 framework for data analysis in massively parallel platforms

Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters

Hyper neural network on OpenCL

Hypercubic Storage Layout and Transforms in Arbitrary Dimensions using GPUs and CUDA

Hyperfast Parallel–Beam Backprojection

Hyperfast Perspective Cone–Beam Backprojection

Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison

HyPHI – task based hybrid execution C++ library for the Intel Xeon Phi coprocessor

I/O Lower Bounds for Auto-tuning of Convolutions in CNNs

I3DC: Interactive Three-Dimensional Cubes
IA-SpGEMM: An Input-aware Auto-tuning Framework for Parallel Sparse Matrix-Matrix Multiplication

IceCubes GPGPU’s cluster for extensive MC production

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Identification and Elimination of Platform-Specific Code Smells in High Performance Computing Applications

Identifying scalar behavior in CUDA kernels

Identifying the Key Features of Intel Xeon Phi: A Comparative Approach

IgNet. A Super-precise Convolutional Neural Network

Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

iGPU: Exception Support and Speculative Execution on GPUs

iGUARD: In-GPU Advanced Race Detection

Ikra-Cpp: A C++/CUDA DSL for Object-Oriented Programming with Structure-of-Arrays Layout

Ilargi: a GPU Compatible Factorized ML Model Training Framework

Illustrative Rendering of Particle Systems

Illustrative Volume Visualization Using GPU-Based Particle Systems

Image and Video Processing on CUDA: State of the Art and Future Directions

Image and Video Processing on GPU: Implementation Scheme, Applications and Future Directions

Image Classification with Pyramid Representation and Rotated Data Augmentation on Torch 7

Image Convolution Processing: a GPU versus FPGA Comparison

Image Denoising Using Wavelet Transform and CUDA

Image Encryption Using Parallel RSA Algorithm on CUDA

Image Noise Removal on Heterogeneous CPU-GPU Configurations

Image Object Tracking System Using Parallel Mean Shift Algorithm

Image parallel processing based on GPU
Image processing algorithm optimization with CUDA for Pure Data

Image processing applications on a low power highly parallel SIMD architecture
Image Processing on Graphical Processing Units for faster DNA Sequencing

Image Processing using Parallel Computing

Image reconstruction in digital holographic microscopy on GPU

Image representation by blob and its application in CT reconstruction from few projections

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Image selection for improved Multi-View Stereo

Titles: 100
open PDFs: 89
packages: 14
