high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Character-level Transformer-based Neural Machine Translation

Charactering and Detecting CUDA Program Bugs

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Characterising Bipartite Graph Matching Algorithms on GPUs

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Characterization and Exploitation of GPU Memory Systems

Characterization and Performance Analysis for 3D Benchmarks

Characterization and Transformation of Unstructured Control Flow in Bulk Synchronous GPU Applications

Characterization and Transformation of Unstructured Control Flow in GPU Applications

Characterization of FPGA-based High Performance Computers

Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

Characterization of OpenCL on a Scalable FPGA Architecture

Characterization of Speech Recognition Systems on GPU Architectures

Characterizing and Enhancing Global Memory Data Coalescing on GPUs

Characterizing and Evaluating a Key-value Store Application on Heterogeneous CPU-GPU Systems

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Characterizing and Optimizing Irregular Applications on Graphics Processing Units

Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems

Characterizing CUDA and OpenMP Synchronization Primitives

Characterizing Dataset Dependence for Sparse Matrix-Vector Multiplication on GPUs

Characterizing Deep Learning Training Workloads on Alibaba-PAI

Characterizing Optimizations to Memory Access Patterns using Architecture-Independent Program Features

Characterizing the Challenges and Evaluating the Efficacy of a CUDA-to-OpenCL Translator

Charged particles constrained to a curved surface

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs

CheCL: Transparent Checkpointing and Process Migration of OpenCL Applications

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Chest CT automatic analysis for lung nodules detection implemented on a GPU computing system

Chestnut: A GPU Programming Language for Non-Experts

CHO: A Benchmark Suite for OpenCL-based FPGA Accelerators

CHO: Towards a Benchmark Suite for OpenCL FPGA Accelerators

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

CHPS: An Environment for Collaborative Execution on Heterogeneous Desktop Systems

Chrono: a parallel multi-physics library for rigid-body, flexible-body, and fluid dynamics

Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations

Cinematic Particle Systems with OpenCL

Circular Hough Transform in OpenCL

CitiusSynapse: A Deep Learning Framework for Embedded Systems

CL-VIS: Visualization Platform for Understanding and Checking the OpenCL Programs

CL2QCD – Lattice QCD based on OpenCL

Clacc: Translating OpenACC to OpenMP in Clang

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Classiffication-based Financial Markets Prediction using Deep Neural Networks

Classification of Higgs Boson Tau-Tau decays using GPU accelerated Neural Networks

Classification Performance of Convolutional Neural Networks

Classify QCD phase transition with deep learning

ClawHMMER: A Streaming HMMer-Search Implementation

CLBlast: A Tuned OpenCL BLAS Library

ClearPath: highly parallel collision avoidance for multi-agent simulation

ClearView: An Interactive Context Preserving Hotspot Visualization Technique

CLgrep: A Parallel String Matching Tool

Climbing Mont Blanc – A Training Site for Energy Efficient Programming on Heterogeneous Multicore Processors

Clinically applicable Monte Carlo-based biological dose optimization for the treatment of head and neck cancers with spot-scanning proton therapy

Clipmapping on the GPU

clMAGMA: High Performance Dense Linear Algebra with OpenCL

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

Clock Math – A System for Solving SLEs Exactly

CLOP: A Multi-stage Compiler to Seamlessly Embed Heterogeneous Code

clOpenCL – Supporting Distributed Heterogeneous Computing in HPC Clusters

CLort: High Throughput and Low Energy Network Intrusion Detection on IoT Devices with Embedded GPUs

Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology

Cloth Simulation on the GPU

Cloth Simulation Using AABB Hierarchies and GPU Parallelism

CloudCL: Single-Paradigm Distributed Heterogeneous Computing for Cloud Infrastructures

Cloudlet-screen computing: A multi-core-based, cloud-computing-oriented, traditional-computing-compatible parallel computing Paradigm for the masses

clpeak – peak performance of your opencl device

clRNG: A Random Number API with Multiple Streams for OpenCL

clSPARSE: A Vendor-Optimized Open-Source Sparse BLAS Library

clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs

CLTestCheck: Measuring Test Effectiveness for GPU Kernels

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

CLTune: A Generic Auto-Tuner for OpenCL Kernels

ClusCo: clustering and comparison of protein models

Cluster and Fast-Update Simulations of Regular and Rewired Lattice Ising Models Using CUDA and Graphical Processing Units

Cluster versus GPU implementation of an Orthogonal Target Detection Algorithm for Remotely Sensed Hyperspectral Images

Cluster-Level Tuning of a Shallow Water Equation Solver on the Intel MIC Architecture

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Clustering Based Search Algorithm For Motion Estimation

Clustering billions of data points using GPUs

Clustering coefficient queries on massive dynamic social networks

Clustering on GPU – A Brief Survey

Clustering Throughput Optimization on the GPU

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

CMA-ES for Hyperparameter Optimization of Deep Neural Networks

CMCpy: Genetic Code-Message Coevolution Models in Python

CMLCompiler: A Unified Compiler for Classical Machine Learning

CnC-CUDA: declarative programming for GPUs

CNN2Gate: An Implementation of Convolutional Neural Networks Inference on FPGAs with Automated Design Space Exploration

CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing

Co-processing SPMD Computation on GPUs and CPUs on Shared Memory System

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Co-tuning of Software Specializers and Hardware Accelerators within a CNN Application

Coalition Structure Generation with the Graphic Processor Unit

Coalition Structure Generation with the Graphics Processing Unit

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

 

Titles: 100

open PDFs: 95

packages: 36