high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Programming Dense Linear Algebra Kernels on Vectorized Architectures

Programming Embedded Manycore: Refinement and Optimizing Compilation of a Parallel Action Language for Hierarchical State Machines

Programming finite-difference time-domain for graphics processor units using compute unified device architecture

Programming for scientific computing on peta-scale heterogeneous parallel systems

Programming framework for clusters with heterogeneous accelerators

Programming Frameworks for Distributed Smartphone Computing

Programming Future Parallel Architectures with Haskell and Intel ArBB

Programming GPUs with C++14 and Just-In-Time Compilation

Programming Heterogeneous Systems from an Image Processing DSL

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

Programming hybrid systems with implicit memory based synchronization

Programming in CUDA for Kepler and Maxwell Architecture

Programming issues for video analysis on Graphics Processing Units

Programming Many-Core Chips

Programming Massively Parallel Architectures using MARTE: a Case Study

Programming massively parallel processors : A Hands – on approach

Programming Massively Parallel Processors with CUDA (audio course)

Programming model for a heterogeneous x86 platform

Programming Models and Runtimes for Heterogeneous Systems

Programming Models and Scheduling Techniques for Heterogeneous Architectures

Programming Models and Tools for Many-Core Platforms

Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Programming of shared memory GPUs shared memory systems

Programming on Parallel Machines: GPU, Multicore, Clusters and More

Programming video cards for computational electromagnetics applications

Programming with Explicit Dependencies. A Framework for Portable Parallel Programming

Programming-Model Centric Debugging for Multicore Embedded Systems

Progressive Clustering of Big Data with GPU Acceleration and Visualization

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

Progressive Photon Mapping on GPUs

Progressive Semantic Segmentation

Projected tetrahedra revisited: a barycentric formulation applied to digital radiograph reconstruction using higher-order attenuation functions

Projectile Monte-Carlo Trajectory Analysis Using a Graphics Processing Unit

Projecting Tetrahedra with a Simplified Basis Graph

PROJECTION Algorithm for Motif Finding on GPUs

Promise of embedded system with GPU in artificial leg control: Enabling time-frequency feature extraction from electromyography

ProofWright: Towards Agentic Formal Verification of CUDA

Proposition for propagated occupation grids for non-rigid moving objects tracking

Prospects for scalable 3D FFTs on heterogeneous exascale systems

Prospects of GPGPU in the Auger Offline Software Framework

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video

PROST: Parallel robust online simple tracking

Protecting Real-Time GPU Applications on Integrated CPU-GPU SoC Platforms

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Proteus: Efficient Resource Use in Heterogeneous Architectures

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks

Prototyping flexible touch screen devices using collocated haptic-graphic elastic-object deformation on the GPU

Prototyping methodology of image processing applications on heterogeneous parallel systems

ProtoX: A First Look

Provably Efficient GPU Algorithms

Providing performance portable numerics for Intel GPUs

Providing Source Code Level Portability Between CPU and GPU with MapCG

PSCToolkit: solving sparse linear systems with a large number of GPUs

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

Pseudo-Random Number Generation on GP-GPU

Pseudo-random number generators for Monte Carlo simulations on ATI Graphics Processing Units

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Pseudorandom number generation on the GPU

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach

Pseudoscalar Meson in Two Flavors QCD with the Optimal Domain-Wall Fermion

pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations

PTask: Operating System Abstractions To Manage GPUs as Compute Devices

PTX2Kernel: Converting PTX Code into Compilable Kernels

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Pulsar Acceleration Searches on the GPU for the Square Kilometre Array

Pulsar search acceleration using FPGAs and OpenCL templates

Pulse-coupled neural network performance for real-time identification of vegetation during forced landing

Purine: A bi-graph based deep learning framework

Pushing the Envelope: Extreme Network Coding on the GPU

Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning

Pushing the limits for medical image reconstruction on recent standard multicore processors

Putting Automatic Polyhedral Compilation for GPGPU to Work

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

pyATF: Constraint-Based Auto-Tuning in Python

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

PyCUDA: GPU Run-Time Code Generation for High-Performance Computing

PyFAI, a versatile library for azimuthal regrouping

PyFAI: a Python library for high performance azimuthal integration on GPU

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch

pyGSL: A Graph Structure Learning Toolkit

pyJac: analytical Jacobian generator for chemical kinetics

PyMatting: A Python Library for Alpha Matting

pyMIC: A Python Offload Module for the Intel Xeon Phi Coprocessor

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

pyPaSWAS: Python-based multi-core CPU and GPU sequence alignment

PyPs, a programmable pass manager

Pyramid Methods in GPU-Based Image Processing

Pyramidal Image Blending Using CUDA Framework

PySAGES: flexible, advanced sampling methods accelerated with GPUs

PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems

PySPH: A Python framework for SPH

PySPH: a Python-based framework for smoothed particle hydrodynamics

PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage

Python for Development of OpenMP and CUDA Kernels for Multidimensional Data

 

Titles: 100

open PDFs: 91

packages: 32