high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Accelerating Exact and Approximate Inference for (Distributed) Discrete Optimization with GPUs

Accelerating Exact Similarity Search on CPU-GPU Systems

Accelerating exotic option pricing and model calibration using GPUs

Accelerating Fast Fourier Transform for Wideband Channelization

Accelerating Fast Fourier Transforms Using Hadoop and CUDA

Accelerating feature extraction for patch-based Multi-View Stereo algorithm

Accelerating Financial Applications on the GPU

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Accelerating Fluids Simulation Using SPH and Implementation on GPU

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Accelerating Fruchterman-Reingold with OpenCL

Accelerating Fully Homomorphic Encryption on GPUs

Accelerating Fully Homomorphic Encryption Using GPU

Accelerating Genetic Programming through Graphics Processing Units

Accelerating Genetic Programming Using Graphics Processing Units

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Accelerating Genomics Research with OpenCL and FPGAs

Accelerating geometric queries using the GPU

Accelerating geoscience and engineering system simulations on graphics hardware

Accelerating Geospatial Analysis on GPUs using CUDA

Accelerating glassy dynamics using graphics processing units

Accelerating global sequence alignment using CUDA compatible multi-core GPU

Accelerating GPU Implementation of Contourlet Transform

Accelerating GPU kernels for dense linear algebra

Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

Accelerating Graph Analysis with Heterogeneous Systems

Accelerating gravitational microlensing simulations using the Xeon Phi coprocessor

Accelerating H.264 Advanced Video Coding with GPU/CUDA Technology

Accelerating H.264 inter prediction in a GPU by using CUDA

Accelerating Habanero-Java Programs with OpenCL Generation

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Accelerating Haskell array codes with multicore GPUs

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Accelerating High-Order Stencils on GPUs

Accelerating High-Throughput Computing through OpenCL

Accelerating HPC codes on Intel(R) Omni-Path Architecture networks: From particle physics to Machine Learning

Accelerating IISPH: A Parallel GPGPU Solution Using CUDA

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Accelerating image recognition on mobile devices using GPGPU

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

Accelerating Image Reconstruction in Three-Dimensional Optoacoustic Tomography on Graphics Processing Units

Accelerating image registration of MRI by GPU-based parallel computation

Accelerating Image Retrieval Using Factorial Correspondence Analysis on GPU

Accelerating In-Memory Graph Database traversal using GPGPUS

Accelerating Inclusion-based Pointer Analysis on Heterogeneous CPU-GPU Systems

Accelerating incoherent dedispersion

Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

Accelerating InSAR raw data simulation on GPU using CUDA

Accelerating Interpreted Programming Languages on GPUs with Just-In-Time Compilation and Runtime Optimisations

Accelerating iterative field-compensated MR image reconstruction on GPUs

Accelerating Iterative SpMV for Discrete Logarithm Problem using GPUs

Accelerating Java on Embedded GPU

Accelerating JPEG Decompression on GPUs

Accelerating K-Means on the Graphics Processor via CUDA

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Accelerating Krylov Subspace Solvers on Graphics Processing Units

Accelerating Lagrangian Particle Dispersion in the Atmosphere with OpenCL across Multiple Platforms

Accelerating Lambert’s Problem on the GPU in MATLAB

Accelerating Large Graph Algorithms on the GPU Using CUDA

Accelerating Large Scale Image Analyses on Parallel CPU-GPU Equipped Systems

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Accelerating large-scale protein structure alignments with graphics processing units

Accelerating large-scale simulations of cortical neuronal network development

Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors

Accelerating Lattice QCD Multigrid on GPUs Using Fine-Grained Parallelization

Accelerating LBM on a Tightly-Coupled Field Programmable Gate Array

Accelerating leukocyte tracking using CUDA: A case study in leveraging manycore coprocessors

Accelerating light scattering simulations of nanostructures by reconfigurable computing

Accelerating linear system solutions using randomization techniques

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Accelerating linpack with CUDA on heterogenous clusters

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Accelerating Lossless Data Compression with GPUs

Accelerating Low-End Edge Computing with Cross-Kernel Functionality Abstraction

Accelerating Low-Fidelity Aerodynamic Codes

Accelerating mahout on heterogeneous clusters using HadoopCL

Accelerating MapReduce on a coupled CPU-GPU architecture

Accelerating marching cubes with graphics hardware

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Accelerating molecular docking and binding site mapping using FPGAs and GPUs

Accelerating Molecular Docking by Parallelized Heterogeneous Computing – A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs

Accelerating Molecular Docking Calculations Using Graphics Processing Units

Accelerating molecular dynamic simulation on graphics processing units

Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

Accelerating Molecular Dynamics Simulations with GPUs

Accelerating molecular modeling applications with graphics processors

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Accelerating Multi-layer Perceptron based short term demand forecasting using Graphics Processing Units

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Accelerating Multi-Sensor Image Fusion Using Graphics Hardware

Accelerating Multiple Compound Comparison Using LINGO-based Load-Balancing Strategies on Multi-GPUs

Accelerating NBODY6 with Graphics Processing Units

Accelerating Nearest Neighbor Search on Manycore Systems

Accelerating non-linear image registration with GPUs

 

Titles: 100

open PDFs: 83

packages: 14