high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTS 450

Activity recognition from videos with parallel hypergraph matching on GPUs

Eric Lombardi, Christian Wolf, Oya Celiktutan, Bulent Sankur

View

Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, nVidia GeForce GTX 580, OpenCL

May 7, 2015 by hgpu

Iris Matching Algorithm on Many-Core Platforms

Chen Liu, Benjamin Petroski, Guthrie Cordone, Gildo Torres, Stephanie Schuckers

View

Download (PDF)

Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTS 450

March 2, 2015 by hgpu

Using Graphics Processing Unit to Accelerate Database Query Execution

Kamil Ksiazek, Piotr Sapiecha

View

Download (PDF)

Tags: Computer science, Databases, nVidia, nVidia GeForce GTS 450, OpenCL

October 6, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

CUD@SAT: SAT Solving on GPUs

Alessandro Dal Pal'u, Agostino Dovier, Andrea Formisano, Enrico Pontelli

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Numerical simulation, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, Package, SAT, Tesla C2075

July 15, 2014 by hgpu

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Graph theory, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 580, Sorting

March 14, 2014 by hgpu

Fast Feature Selection in a GPU Cluster Using the Delta Test

Alberto Guillen, M. Isabel Garcia Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Hector Pomares, Ignacio Rojas

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, Nearest neighbour, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450

February 25, 2014 by hgpu

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

A. Castillo Atoche, O. Palma Marrufo, R. Quijano Cetina, A. Espinosa-Romero, M. Maya Mendez

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTS 450, Sensing

January 9, 2014 by hgpu

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Zheng Tian, Cheng Xu, Xin Huang, Xiaodong Wang

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTS 450, Real-time graphics, Stereo vision

October 27, 2013 by hgpu

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

Zheng Tian, Cheng Xu, Xiaoyun Deng

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTS 450

October 26, 2013 by hgpu

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

Masakazu Gesho,

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTS 450, Thesis

June 21, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

View

Download (PDF)

Source codes

Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Activity recognition from videos with parallel hypergraph matching on GPUs

Iris Matching Algorithm on Many-Core Platforms

Using Graphics Processing Unit to Accelerate Database Query Execution

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

CUD@SAT: SAT Solving on GPUs

Fast Exact Hyper-Graph Matching with Dynamic Programming for Spatio-Temporal Data

Fast Feature Selection in a GPU Cluster Using the Delta Test

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)