Papers on hgpu.org (.txt-file)
Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Optimizing Monte Carlo radiosity on graphics hardware
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Optimizing OpenCL Kernels for Iterative Statistical Applications on GPUs

Optimizing OpenCL Local Work Group Size With Machine Learning

Optimizing Performance and Energy Efficiency in Massively Parallel Systems

Optimizing Performance of Recurrent Neural Networks on GPUs

Optimizing Performance of Stencil Code with SPL Conqueror

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Optimizing Real Time GPU Kernels Using Fuzzy Inference System

Optimizing Similarity Computations for Ontology Matching – Experiences from GOMMA

Optimizing simulated annealing on GPU: A case study with IC floorplanning
Optimizing Smith-Waterman algorithm on Graphics Processing Unit
Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures

Optimizing Stencil Computations for NVIDIA Kepler GPUs

Optimizing strassen matrix multiply on GPUs

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Optimizing Sweep3D for Graphic Processor Unit

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs

Optimizing the Computation of Eigenvalues Using Graphics Processing Units

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Optimizing the multipole-to-local operator in the fast multipole method for graphical processing units

Optimizing the optimizer increasing performance efficiency of modern compilers

Optimizing the Performance of Parallel and Concurrent Applications Based on Asynchronous Many-Task Runtimes

Optimizing the SUSAN corner detection algorithm for a high speed FPGA implementation
Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee

Optimizing Urban Environmental Simulations using Boinc

Optimizing Web Virtual Reality

Optimizing Xeon Phi for Interactive Data Analysis

OptiML: An implicitly parallel domain-specific language for machine learning

Optimum Application Deployment Technology for Heterogeneous IaaS Cloud

Option pricing with COS method on graphics processing units
Option pricing with multi-dimensional quadrature architectures

OptiX: a general purpose ray tracing engine

Orca: FSS-based Secure Training with GPUs

Orchestrated Scheduling and Prefetching for GPGPUs

Orchestrating Multiple Data-Parallel Kernels on Multiple Devices

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Orchestration by approximation: mapping stream programs onto multicore architectures

Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station

Origami: A Convolutional Network Accelerator

Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications

Orthogonalization on a General Purpose Graphics Processing Unit with Double Double and Quad Double Arithmetic

Orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic

Orthorectification by Using GPGPU Method

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

Out-of-core cone beam reconstruction using multiple GPUs

Out-of-core Implementation for Accelerator Kernels on Heterogeneous Clouds

Out-of-core singular value decomposition

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling

Out-of-the-box library support for DBMS operations on GPUs

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Over-synchronization in GPU Programs

Overcoming the GPU memory limitation on FDTD through the use of overlapping subgrids
Overcomplete Dictionary Learning with Jacobi Atom Updates

Overdetermined Shooting Methods for Computing Standing Water Waves with Spectral Accuracy

Overhauling SC atomics in C11 and OpenCL

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Overlapping computation and communication of three-dimensional FDTD on a GPU cluster

Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization

Overview of approaches for accelerating scale invariant feature detection algorithm
Overview of implementation of DARPA GPU program in SAIC
OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Owl: Differential-based Side-Channel Leakage Detection for CUDA Applications

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code

PacketShader: a GPU-accelerated software router

Padding Free Bank Conflict Resolution for CUDA-Based Matrix Transpose Algorithm

Pairwise Sequence Alignment for Very Long Sequences on GPUs

Pairwise Sequence Alignment with Gaps with GPU

PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs

Panda: A Compiler Framework for Concurrent CPU-GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Pangaea: a tightly-coupled IA32 heterogeneous chip multiprocessor

Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU

PanJoin: A Partition-based Adaptive Stream Join

PANNA: Properties from Artificial Neural Network Architectures

Pannotia: Understanding Irregular GPGPU Graph Applications

PantaRay: fast ray-traced occlusion caching of massive scenes
PAPER – Accelerating parallel evaluations of ROCS

ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels

Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Parakeet: A Just-In-Time Parallel Accelerator for Python

Parallax: Automatic Data-Parallel Training of Deep Neural Networks

Paralleizing AwSpPCA for robust facial recognition using CUDA

Parallel 3D Fast Wavelet Transform comparison on CPUs and GPUs

Parallel 3D Finite Difference Time Domain Simulations on Graphics Processors with Cuda
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Parallel 3D multigrid methods on the STI cell BE architecture

Parallel 5 point SOR for solving the Convection Diffusion equation using graphics processing units

Parallel acceleration of CPU and GPU range queries over large data sets

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Titles: 100
open PDFs: 88
packages: 22
