high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 680

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

Shohei Ando, Fumihiko Ino, Toru Fujiwara, and Kenichi Hagihara

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Probability, Tesla K40

October 13, 2014 by hgpu

Code Refinement of Stencil Codes

Marcel Koster, Roland Leissa, Sebastian Hack

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, DSL, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

October 10, 2014 by hgpu

Accelerating NTRU Encryption with Graphics Processing Units

Tianyu Bai, Spencer Davis, Juanjuan Li, Ying Gu, Hai Jiang

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Quantum computing, Security

October 6, 2014 by hgpu

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

H. Wan Chan Tseung, J. Ma, C. Beltran

View

Download (PDF)

Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Tesla K20

October 3, 2014 by hgpu

GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

J. Spiechowicz, M. Kostur, L. Machura

View

Download (PDF)

Tags: Computational Physics, CUDA, Differential equations, Monte Carlo integration, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Stochastic simulation

September 19, 2014 by hgpu

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

Mathias Bourgoin, Emmanuel Chailloux

View

Download (PDF)

Tags: Computer science, Java, nVidia, nVidia GeForce GTX 680, OpenCL

September 17, 2014 by hgpu

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

Tomas Ekeberg, Stefan Engblom, Jing Liu

View

Download (PDF)

Tags: Algorithms, Biological Physics, Biology, Biomolecules, Cluster computing, Computational Complexity, CUDA, GPU cluster, Machine learning, nVidia, nVidia GeForce GTX 680, OpenMPI

September 16, 2014 by hgpu

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

Ugur Cekmez, Mustafa Ozsiginan, Musa Aydin, Ozgur Koray Sahingoz

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Path problems

August 11, 2014 by hgpu

Agent-based crowd simulation using GPU computing

Sean Patrick O'Reilly

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rendering, Thesis

July 28, 2014 by hgpu

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

S. V. Ghorpade, S. M. Kamalapur

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, Metaheuristics, nVidia, nVidia GeForce GTX 680, Search

July 23, 2014 by hgpu

Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm

Gaurav Bhamare, Satish Banait

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security

July 23, 2014 by hgpu

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

Tsutomu Inamoto, Yoshinobu Higami, Shin-ya Kobayashi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

July 17, 2014 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

A Parallel Algorithm for Enumerating Joint Weight of a Binary Linear Code in Network Coding

Code Refinement of Stencil Codes

Accelerating NTRU Encryption with Graphics Processing Units

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA

High Performance Client-Side Web Programming with SPOC and Js_of_ocaml

Machine learning for ultrafast X-ray diffraction patterns on large-scale GPU clusters

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

Agent-based crowd simulation using GPU computing

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

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)