high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Expansion Techniques for Collisionless Stellar Dynamical Simulations

Experience Applying Fortran GPU Compilers to Numerical Weather Prediction

Experience Migrating OpenCL to SYCL: A Case Study on Searches for Potential Off-Target Sites of Cas9 RNA-Guided Endonucleases on AMD GPUs

Experience of Migrating a Parallel Graph Coloring Program from CUDA to SYCL

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Experience Report: Writing A Portable GPU Runtime with OpenMP 5.1

Experience with Intel’s Many Integrated Core architecture in ATLAS software

Experiences Building an MLIR-based SYCL Compiler

Experiences Developing the OpenUH Compiler and Runtime Infrastructure

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Experiences in Teaching a Specialty Multicore Computing Course

Experiences Migrating CUDA to SYCL: A Molecular Docking Case Study

Experiences Porting a Molecular Dynamics Code to GPUs on a Cray XK7

Experiences with Achieving Portability across Heterogeneous Architectures

Experiences with Cell-BE and GPU for Tomography

Experiences with High-Level Programming Directives for Porting Applications to GPUs

Experiences with hybrid clusters

Experiences with implementing Kokkos’ SYCL backend

Experiences with Mapping Non-linear Memory Access Patterns into GPUs

Experimental B+-tree for GPU

Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs

Experimental Evaluation of Thread Distribution Effects on Multiple Output Errors in GPUs

Experimental Fault-Tolerant Synchronization for Reliable Computation on Graphics Processors

Experimentation Procedure for Offloaded Mini-Apps Executed on Cluster Architectures with Xeon Phi Accelerators

Experiments on Parallel Training of Deep Neural Network using Model Averaging

Experiments with Massively Parallel Matrix Multiplication

Experiments with Single Core, Multi-core, and GPU Based Computation of Cellular Automata

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

Explicit caching HYB: a new high-performance SpMV framework on GPGPU

Explicit Control of Vector Field Based Shape Deformations

Explicit Fourth-Order Runge-Kutta Method on Intel Xeon Phi Coprocessor

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Explicit platform descriptions for heterogeneous many-core architectures

Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices

Exploded Views for Volume Data

Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code

Exploiting BSP Abstractions for Compiler Based Optimizations of GPU Applications on multi-GPU Systems

Exploiting co-execution with oneAPI: heterogeneity from a modern perspective

Exploiting Coarse-grained Parallelism in B+ Tree Searches on an APU

Exploiting Computational Resources in Distributed Heterogeneous Platforms

Exploiting Computing Power on Graphics Processing Unit

Exploiting Concurrency Patterns with Heterogeneous Task and Data Parallelism

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Exploiting concurrent kernel execution on graphic processing units

Exploiting contextual information for image re-ranking and rank aggregation

Exploiting Data Parallelism in GPUs

Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs

Exploiting dynamic sparse matrices for performance portable linear algebra operations

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

Exploiting GPU On-chip Shared Memory for Accelerating Schedulability Analysis

Exploiting GPU Parallelism to Optimize Real-World Problems

Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements

Exploiting Graphic Processing Units Parallelism to Improve Intelligent Data Acquisition System Performance in JET’s Correlation Reflectometer

Exploiting graphical processing units for data-parallel scientific applications

Exploiting graphics processing units for computational biology and bioinformatics

Exploiting Heterogeneity for Energy Efficiency in Chip Multiprocessors

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

Exploiting Heterogeneous Systems: Keccak on OpenCL

Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Exploiting multi-level parallelism in streaming applications for heterogeneous platforms with GPUs

Exploiting Multi-level Parallelism on a Many-core System for the Application of Hyperheuristics to a Molecular Docking Problem

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes

Exploiting parallel features of modern computer architectures in bioinformatics

Exploiting parallel features of modern computer architectures in bioinformatics: applications to genetics, structure comparison and large graph analysis

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

Exploiting Parallelism in GPUs

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

Exploiting Segmentation for Robust 3D Object Matching

Exploiting SIMD extensions for linear image processing with OpenCL

Exploiting Space and Time Coherence in Grid-based Sorting

Exploiting SPMD Horizontal Locality

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

Exploiting Task Parallelism with OpenCL: A Case Study

Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Exploiting the Power of GPUs for Asymmetric Cryptography

Exploiting two-level parallelism by aggregating computing resources in task-based applications over accelerator-based machines

Exploiting Unexploited Computing Resources for Computational Logics

Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement

Exploration of Cryptocurrency Mining-Specific GPUs in AI Applications: A Case Study of CMP 170HX

Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses

Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs

Exploration of Multifrontal Method with GPU in Power Flow Computation

Exploration of Optimization Options for Increasing Performance of a GPU Implementation of a Three-Dimensional Bilateral Filter

Exploration of Parallelization Frameworks for Computational Finance

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

Exploratory Data Analysis of Software Repositories via GPU Processing

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Exploring 2D tensor fields using stress nets

Exploring Applications in CUDA

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

 

Titles: 100

open PDFs: 91

packages: 14