high performance computing on graphics processing units: hgpu.org

Papers on hgpu.org (.txt-file)

Bulk GCD Computation Using a GPU to Break Weak RSA Keys

Bump Mapping Unparametrized Surfaces on the GPU

Bundled depth-map merging for multi-view stereo

Burrows-Wheeler Aligner: A Parallel Approach

BVH for efficient raytracing of dynamic metaballs on GPU

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

C Language Extensions for Hybrid CPU/GPU Programming with StarPU

C to Cellular Automata and Execution on CPU, GPU and FPGA

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

C-for-Metal: High Performance SIMD Programming on Intel GPUs

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Cache and bandwidth aware matrix multiplication on the GPU

Cache Miss Analysis for GPU Programs Based on Stack Distance Profile

Cache-efficient numerical algorithms using graphics hardware

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

Caffe: Convolutional Architecture for Fast Feature Embedding

Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks

Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

CaffeLink: Mathematica binding for Caffe Deep Learning Framework

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Calamari – A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition

Calculation by articificial compressibility method and virtual flux method on GPU

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)

Calculation of Stochastic Heating and Emissivity of Cosmic Dust Grains with Optimization for the Intel Many Integrated Core Architecture

Calculation of weight vectors for wideband beamforming using Graphics Processing Units

CAMPAIGN: An open-source Library of GPU-accelerated Data Clustering Algorithms

Can CUDA be exposed through web services?

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Can GPUs Sort Strings Efficiently?

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Can Portability Improve Performance? An Empirical Study of Parallel Graph Analytics

Can We Run in Parallel? Automating Loop Parallelization for TornadoVM

Canadian Hydrogen Intensity Mapping Experiment (CHIME) Pathfinder

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU

Canny edge detection on NVIDIA CUDA

CANSCID-CUDA

Capability Models for Manycore Memory Systems: A Case-Study with Xeon Phi KNL

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Capturing the Memory Topology of GPUs

Caracal: dynamic translation of runtime environments for GPUs

Caracteristiques arithmetiques des processeurs graphiques

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

Cardiac Dysrhythmia Detection with GPU-Accelerated Neural Networks

Cardiac simulation on multi-GPU platform

Cardiac tissue simulation using graphics hardware

Cartesian SENSE and k-t SENSE reconstruction using commodity graphics hardware

Cascaded Segmentation-Detection Networks for Word-Level Text Spotting

Case Studies in Acceleration of Heston’s Stochastic Volatility Financial Engineering Model: GPU, Cloud and FPGA Implementations

Case Study: GPU-based implementation of sequence pair based floorplanning using CUDA

Case study: Interactive rendering of adaptive mesh refinement data

Case study: Runtime reduction of a buffer insertion algorithm using GPU parallel programming

CASE: A Compiler-Assisted SchEduling Framework for Multi-GPU Systems

Casting Shadows in Real Time

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

Caustics Mapping: An Image-Space Technique for Real-Time Caustics

CAVE-CL: An OpenCL version of the package for detection and quantitative analysis of internal cavities in a system of overlapping balls: application to proteins

CBench: Analyzing Compute Performance for Modern NVIDIA and AMD GPUs

CBESW: sequence alignment on the Playstation 3

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time, interactive simulation and visualization

CELES: CUDA-accelerated simulation of electromagnetic scattering by large ensembles of spheres

Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU

cellGPU: massively parallel simulations of dynamic vertex models

Cellular automaton for ultra-fast watershed transform on GPU

Cellular genetic algorithms

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Cellular GPU Models to Euclidean Optimization Problems

Cellular Level Agent Based Modelling on the Graphics Processing Unit

Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies

cf4ocl: a C framework for OpenCL

CFD code adaptation to the FPGA architecture

CFD Simulation of Jet Cooling and Implementation of Flow Solvers in GPU

CFD-based analysis and two-level aerodynamic optimization on Graphics Processing Units

CFMDS: CUDA-based fast multidimensional scaling for genome-scale data

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs

Cg in Two Pages

Cg: a system for programming graphics hardware in a C-like language

CGiS, a new Language for Data-parallel GPU Programming

CGO: G: Intelligent Heuristic Construction with Active Learning

Chai: Collaborative Heterogeneous Applications for Integrated-architectures

ChainerMN: Scalable Distributed Deep Learning Framework

Challenge benchmarks that must be conquered to sustain the gpu revolution

Challenges Adapting CUDA PIC Codes to multiple GPUs

Challenges and Opportunities in C/C++ Source-To-Source Compilation

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

Challenges and Techniques for Transparent Acceleration of Unmodified Big Data Applications

Challenges for a GPU-Accelerated Dynamic Programming Approach for Join-Order Optimization

Challenges for compiler support for exascale computing

Challenges of mapping financial analytics to many-core architecture

Challenges of medical image processing

Challenging cloning related problems with GPU-based algorithms

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

Chameleon: Virtualizing idle acceleration cores of a heterogeneous multicore processor for caching and prefetching

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi

 

Titles: 100

open PDFs: 86

packages: 29