high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » paper

Simulation of a flowing snow avalanche using molecular dynamics

Denizhan Gucer, Halil Bulent Ozguc

View

Tags: Algorithms, Collision detection, Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, Rendering

March 14, 2013 by hgpu

Selection of Task Implementations in the Nanos++ Runtime

Judit Planas, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

View

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

March 14, 2013 by hgpu

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Shanhui Sun

View

Tags: CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization

March 14, 2013 by hgpu

Parallel Particle Swarm Optimization for Image Segmentation

Agustinus Kristiadi, Pranowo Pranowo, Paulus Mudjihartono

View

Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce G 110 M, Particle swarm optimization

March 14, 2013 by hgpu

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth

Kishore Kothapalli, Dip Sankar Banerjee, P. J. Narayanan, Surinder Sood, Aman Kumar Bahl, Shashank Sharma, Shrenik Lad, Krishna Kumar Singh, Kiran Matam, Sivaramakrishna Bharadwaj, Rohit Nigam, Parikshit Sakurikar, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta

View

Tags: Computer science, Databases, Hybrid computing, Image processing, nVidia, nVidia GeForce GT 520, Sparse matrix, Tesla T10

March 14, 2013 by hgpu

GPU implementation of a deep learning network for image recognition tasks

Sean Patrick Parker

View

Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Thesis

March 12, 2013 by hgpu

Parallelization Research of Circle Detection Based on Hough Transform

Suping Wu, Xiangjiao Liu

View

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260

March 12, 2013 by hgpu

Just-in-time Acceleration of JavaScript

Uday Pitambare, Arun Chauhan, Saurabh Malviya

View

Tags: Computer science, Java, nVidia, Performance, PTX, Tesla C1060

March 12, 2013 by hgpu

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Christian B. Mendl, Steven Eliuk, Michelle Noga, Pierre Boulanger

View

Tags: Computed tomography, CT, CUDA, DirectX, Filtering, HLSL, Medicine, nVidia, nVidia Quadro FX 4000, Tomography

March 12, 2013 by hgpu

Parallel spatial data structures for interactive rendering

Ismael Garcia Fernandez

View

Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Rendering, Thesis

March 12, 2013 by hgpu

High Performance GPU Accelerated Local Optimization in TSP

Kamil Rocki and Reiji Suda

View

March 12, 2013 by krocki

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Martin Burtscher, Hassan Rabeti

View

Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Search, Tesla M2090

March 12, 2013 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

HPX: a C++ Standard Library for Concurrency and Parallelism

Asynchronous-Many-Task Systems: Challenges and Opportunities – Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX

TorchQC: Quantum Dynamics and Machine Learning

TorchQC – A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control

Matrix multiplication using Tensor Cores in CUDA

Utilizing Tensor Cores in Futhark

CPP Joules: Energy Measurement tool for CPP/CUDA programs

CPPJoules: An Energy Measurement Tool for C++

HPC-Coder-v2

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: