Papers on hgpu.org (.txt-file)
Parallelizing Simulated Annealing-Based Placement Using GPGPU
Parallelizing the cellular potts model on GPU and multi-core CPU: An OpenCL cross-platform study
Parallelizing the Cellular Potts Model on graphics processing units
Parallelizing the Edge application for GPU-based systems using the SkePU skeleton programming library
Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
Parallelizing Word2Vec in Shared and Distributed Memory
Parameter Selection and Pre-Conditioning for a Graph Form Solver
Parameter Tuning of a Hybrid Treecode-FMM on GPUs
Parameterized Verification of GPU Kernel Programs
Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs
Parametric GPU Code Generation for Affine Loop Programs
Parboil: A Revised Benchmark Suite for Scientific and Commercial Throughput Computing
PARIS: A Parallel RSA-Prime Inspection Tool
Parle: parallelizing stochastic gradient descent
ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data
PARRAY: A Unifying Array Representation for Heterogeneous Parallelism
Parsing in Parallel on Multiple Cores and GPUs
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
ParTeCL: parallel testing using OpenCL
Partial Demosaicing for Stereo Matching of CFA Images on GPU and CPU
Partial Parallelization of the Successive Projections Algorithm using Compute Unified Device Architecture
Partial Volume Effect Correction using Anisotropic Backward Diffusion
Partial wave analysis at BES III harnessing the power of GPUs
Partial Wave Analysis using Graphics Cards
PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs
Particle and texture based spatiotemporal visualization of time-dependent vector fields
Particle filter on GPUs for real-time tracking
Particle filtering with rendered models: A two pass approach to multi-object 3D tracking with the GPU
Particle Filters on Multi-Core Processors
Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow
Particle Simulation on a GPU with PyCUDA
Particle Swarm Optimization of Model Parameters: Simulation of Deep Reactive Ion Etching by the Continuous Cellular Automaton
Particle-Based Fluid Simulation on the GPU
Particle-Based Multiple Irregular Volume Rendering on CUDA
Particle-based Visualization of Large Cosmological Datasets
Particle-based volume rendering
Particle-in-cell algorithms for plasma simulations on heterogeneous architectures
Particle-in-Cell Laser-Plasma Simulation on Xeon Phi Coprocessors
Particle-in-cell Simulations with Charge-Conserving Current Deposition on Graphic Processing Units
Partitioned Memory Parallel Programming Framework
Partitioning Large Scale Deep Belief Networks Using Dropout
Partitioning streaming parallelism for multi-cores: a machine learning based approach
Pass a Pointer: Exploring Shared Virtual Memory Abstractions in OpenCL Tools for FPGAs
PASSATA – Object oriented numerical simulation software for adaptive optics
Passive-Active Geometric Calibration for View-Dependent Projections onto Arbitrary Surfaces
Password Cracking in the Cloud
Password recovery for encrypted ZIP archives using GPUs
Password Recovery for RAR Files Using CUDA
Password Recovery Using MPI and CUDA
Patch-Based Image Vectorization with Automatic Curvilinear Feature Alignment
Path Integral Approaches and Graphics Processing Unit Tools for Quantum Molecular Dynamics Simulations
Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma
Pathological image segmentation for neuroblastoma using the GPU
Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets
Pattern Recognition with Embedded Systems Technology: A Survey
Pattern Recognition with OpenCL Heterogeneous Platform
Pattern-based Programming Abstractions for Heterogeneous Parallel Computing
Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)
Patterns of Inefficient Performance Behavior in GPU Applications
PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations
PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures
PCIeHLS: an OpenCL HLS framework
PConG: A novel platform available for pervasive computing based on GPU
PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures
Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second
Pedestrian detection system based on stereo vision for mobile robot
Pegasus: coordinated scheduling for virtualized accelerator-based systems
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming
People detection method using graphics processing units for a mobile robot with an omnidirectional camera
PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems
PEPSC: A Power-Efficient Processor for Scientific Computing
PErasure: a Parallel Cauchy Reed-Solomon Coding Library for GPUs
Perception of Acoustical Spatial Attributes and Impression in Virtually Rendered Sound Field
Perception-aware Depth Cueing for Illustrative Vascular Visualization
Perceptual enhancement of two-level volume rendering
Perceptually Optimized Real-Time Computer Graphics
PERCH 2.0: Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
Percolation study of samples on 2D lattices using GPUs
perf4sight: A toolflow to model CNN training performance on Edge GPUs
Perfect Hashing Structures for Parallel Similarity Searches
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs
Performance Analysis and Benchmarking of the Intel SCC
Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs
Performance Analysis and Improvement of Parallel Differential Evolution
Performance Analysis and Optimisation of the OP2 Framework on Many-core Architectures
Performance analysis and optimization of a CFD application
Performance Analysis and Optimization of a Distributed Processing Framework for Data Mining Accelerated with Graphics Processing Units
Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA
Performance analysis and optimization of highly diverging algorithms on GPUs
Performance analysis and optimization of the OP2 framework on many-core architectures
Performance analysis and optimization of three-dimensional FDTD on GPU using roofline model
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs
Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)
Titles: 100
open PDFs: 88
packages: 17