high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Data Layout Optimization for Multi-Valued Containers in OpenCL

Data Layout Oriented Compilation Techniques in Vectorization for Multi-/Many-cores

Data Layout Pruning on GPU

Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

Data Layout Transformation for Structured-Grid Codes on GPU

Data Mining and Machine Learning in Astronomy

Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey

Data Mining Using Graphics Processing Units

Data Movement Optimization for High-Performance Computing

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Data parallel execution challenges and runtime performance of agent simulations on GPUs

Data parallel loop statement extension to CUDA: GpuC

Data parallel patterns on CPU/GPU mix

Data Parallel Quadtree Indexing and Spatial Query Processing of Complex Polygon Data on GPUs

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

Data Parallelism Exploiting for H.264 Encoder

Data Partitioning on Heterogeneous Multicore and Multi-GPU Systems Using Functional Performance Models of Data-Parallel Applications

Data registration module – a component of semantic simulation engine

Data Regression with Normal Equation on GPU using CUDA

Data Remanence and Digital Forensic Investigation for CUDA Graphics Processing Units

Data Sorting Using Graphics Processing Units

Data Stream Classification using Random Feature Functions and Novel Method Combinations

Data structure design for GPU based heterogeneous systems

Data Structures and Algorithms for Counting Problems on Graphs using GPU

Data Structures and Transformations for Physically Based Simulation on a GPU

Data Structures for Task-based Priority Scheduling

Data Transfer Matters for GPU Computing

Data transfer optimizations for heterogeneous managed runtime systems

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Data Triage and Visual Analytics for Scientific Visualization

Data Visualization and Mining using the GPU

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Data-Driven Analysis and Design of Vulkan Ray-Tracing Applications using Automatic Instrumentation

Data-Driven Dynamic Autotuning: Optimizing Autotuning Overhead with Prior Tuning Data

Data-driven Forecasting of Deep Learning Performance on GPUs

Data-driven Performance Optimization for Data-intensive Applications

Data-Driven Programming Abstractions and Optimization for Multi-Core Platforms

Data-driven versus Topology-driven Irregular Computations on GPUs

Data-intensive document clustering on GPU clusters

Data-intensive document clustering on graphics processing unit (GPU) clusters

Data-Oriented Language Implementation of Lattice-Boltzmann Method for Dense and Sparse Geometries

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

Data-parallel algorithms and data structures

Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units

Data-parallel computing

Data-Parallel Construction of delta_N-Nets with Maximum Dispersion

Data-Parallel Flattening by Expansion

Data-Parallel Hashing Techniques for GPU Architectures

Data-Parallel Octrees for Surface Reconstruction

Data-Parallelism and GPUs for Lattice Gas Fluid Simulations

Data-rich astronomy: mining synoptic sky surveys

Database Operation Development on the GPU

Dataflow-based Design and Implementation of Image Processing Applications

Dataflow-Based Implementation of Layered Sensing Applications

Dataflow-driven GPU performance projection for multi-kernel transformations

Dataloader Parameter Tuner: An Automated Dataloader Parameter Tuner for Deep Learning Models

Datalog for GPUs

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Dawn of GPU Era-Potentials of Chaos Theory

DawnCC: a Source-to-Source Automatic Parallelizer of C and C++ Programs

Dax Toolkit: A Proposed Framework for Data Analysis and Visualization at Extreme Scale

Dax: Data Analysis at Extreme

DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems

DBMS Index for Hierarchical Data Using Nested Intervals and Residue Classes

DC Power Flow Based Contingency Analysis Using Graphics Processing Units

DC Power Flow Based Contingency Analysis Using Graphics Processing Units (thesis)

DCT-JPEG Image Coding Based on GPU

dCUDA: hardware supported overlap of computation and communication

De-specializing an HLS library for Deep Neural Networks: improvements upon hls4ml

Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort

Debugging CUDA

Debugging GPU stream programs through automatic dataflow recording and visualization

Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Declarative Parallel Programming for GPUs

Decoding with Finite-State Transducers on GPUs

Decompilation of LLVM IR

Decompiling x86 Deep Neural Network Executables

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Decoupled Block-Wise ILU(k) Preconditioner on GPU

Decoupled Deferred Shading for Hardware Rasterization

Decoupled Vector-Fetch Architecture with a Scalarizing Compiler

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Decoupling algorithms from the organization of computation for high performance image processing

Decreasing NAME III Solution Time Using GP-GPU

Decryption-decompression of AES protected ZIP files on GPUs

Deductive verification for SYCL

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems

Deep API Learning

Deep Architectures for Neural Machine Translation

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Deep Convolutional Network evaluation on the Intel Xeon Phi: Where Subword Parallelism meets Many-Core

Deep convolutional networks for pancreas segmentation in CT imaging

Deep Convolutional Neural Networks for Smile Recognition

Deep Dynamic Neural Networks for Gesture Segmentation and Recognition

Deep Feature-based Face Detection on Mobile Devices

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

 

Titles: 100

open PDFs: 97

packages: 14