Papers on hgpu.org (.txt-file)
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 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 optimizer increasing performance efficiency of modern compilers
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
Orchestration by approximation: mapping stream programs onto multicore architectures
Origami: A Convolutional Network Accelerator
Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications
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
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
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: 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
Parallel accelerators for GlimmerHMM bioinformatics algorithm
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Parallel AES algorithm for fast Data Encryption on GPU
Parallel AES Encryption Engines for Many-Core Processor Arrays
Titles: 100
open PDFs: 88
packages: 21