high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Accurate Cross-Architecture Performance Modeling for Sparse Matrix-Vector Multiplication (SpMV) on GPUs

Accurate CUDA Performance Modeling for Sparse Matrix-Vector Multiplication

Accurate Energy and Performance Prediction for Frequency-Scaled GPU Kernels

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

Accurate multi-view reconstruction using robust binocular stereo and surface meshing

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

Achieving a single compute device image in OpenCL for multiple GPUs

Achieving High Throughput Sequencing with Graphics Processing Units

Achieving high-performance with a sparse direct solver on Intel KNL

Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability

Achieving O(1) IP lookup on GPU-based software routers

Achieving Speedup in Aggregate Risk Analysis using Multiple GPUs

Achieving TeraCUPS on Longest Common Subsequence Problem using GPGPUs

ACL2 Meets the GPU: Formalizing a CUDA-based Parallelizable All-Pairs Shortest Path Algorithm in ACL2

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis

Action-Based Multifield Video Visualization

Active Structured Learning for High-Speed Object Detection

Active thread compaction for GPU path tracing

Activity recognition from videos with parallel hypergraph matching on GPUs

Adaboost GPU-based Classifier for Direct Volume Rendering

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Adaptable particle-in-cell algorithms for graphical processing units

Adaptable Two-Dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Adaptation of High Performance and High Capacity Reconfigurable Systems to OpenCL Programming Environments

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels

Adapting a message-driven parallel application to GPU-accelerated clusters

Adapting data processing methods to modern GPU architecture

Adapting Irregular Computations to Large CPU-GPU Clusters in the MADNESS Framework

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Adapting Particle Filter Algorithms to Many-Core Architectures

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Adaptive algebraic multigrid on SIMD architectures

Adaptive and Hybrid Machine Learning Approaches Utilizing General Purpose Computing on Graphical Processing Units

Adaptive and Transparent Cache Bypassing for GPUs

Adaptive Data Migration in Load-Imbalanced HPC Applications

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Adaptive enhancement and noise reduction in very low light-level video

Adaptive fast multipole methods on the GPU

Adaptive GPU Array Layout Auto-Tuning

Adaptive Hardware-accelerated Terrain Tessellation

Adaptive implementation selection in the SkePU skeleton programming library

Adaptive Input-aware Compilation for Graphics Engines

Adaptive Kinetic-Fluid Solvers for Heterogeneous Computing Architectures

Adaptive Line Tracking with Multiple Hypotheses for Augmented Reality

Adaptive load balancing for raycasting of non-uniformly bricked volumes

Adaptive Mesh Fluid Simulations on GPU

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU

Adaptive OpenCL (ACL) Execution in GPU Architectures

Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems

Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing

Adaptive parallelism mapping in dynamic environments using machine learning

Adaptive Partitioning for Iterated Sequences of Irregular OpenCL Kernels

Adaptive proxy geometry for direct volume manipulation

Adaptive Row-grouped CSR Format for Storing of Sparse Matrices on GPU

Adaptive sampling in three dimensions for volume rendering on GPUs

Adaptive sampling of intersectable models exploiting image and object-space coherence

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

Adaptive Simulation of Large-Scale Ocean Surface

Adaptive SpMV/SpMSpV on GPUs for Input Vectors of Varied Sparsity

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Adaptive Treelet Meshes for Efficient Streak-Surface Visualization on the GPU

Adaptive Video Encoding Based on OpenCL Face Recognition

Adaptive Work-Efficient Connected Components on the GPU

Adaptive, real-time visual simultaneous localization and mapping

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Adding GPU Computing to Computer Organization Courses

Adding special-purpose processor support to the Erlang VM

Address Selection for Efficient Barriers on the Intel Xeon Phi

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Adhoc On-Demand Distance Vector Protocol For Energy Efficiency

Adjoint Algorithmic Differentiation of a GPU Accelerated Application

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

Adjustable GPU Acceleration for Hermitian Eigensystems

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers

Advanced 2D Rasterization on Modern CPUs

Advanced Architectures for Astrophysical Supercomputing

Advanced CFD Modeling Using GeForce GPUs

Advanced Concurrency Control Algorithm Design and GPU System Support for High Performance In-Memory Data Management

Advanced illumination techniques for GPU volume raycasting

Advanced Joins on GPUs

Advanced MRI reconstruction toolbox with accelerating on GPU

Advanced Multi-Frame Rate Rendering Techniques

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU

Advanced Programming Platform for efficient use of Data Parallel Hardware

Advanced Simulation Library: Expanding software ecosystem for the DSP/FPGA/GPU market

Advanced Techniques for the Rendering and Visualization of Volumetric Seismic Data

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

 

Titles: 100

open PDFs: 95

packages: 13