high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 680

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Marc Kaseberg, Steffen Melnik, Erwin Keeve

View

Tags: Algorithms, ATI, ATI Radeon HD 5770, ATI Radeon HD 6970, Computed tomography, CT, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia Quadro 600, OpenCL, Tomography

December 17, 2013 by hgpu

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Yasuaki Ito, Koji Nakano

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Programming techniques

December 15, 2013 by hgpu

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenMP

December 13, 2013 by hgpu

Waste Not… Efficient Co-Processing of Relational Data

Holger Pirk, Stefan Manegold, Martin Kersten

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 680, OpenCL

December 8, 2013 by hgpu

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Software router, String matching

December 4, 2013 by hgpu

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Raymond Flagg, Jason Monk, Yifeng Zhu, Bruce Segee

View

Download (PDF)

Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

December 4, 2013 by hgpu

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Michael Wu, Guohui Wang, Bei Yin, Christoph Studer, Joseph R. Cavallaro

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Wireless baseband architecture

December 4, 2013 by hgpu

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Wasuwee Sodsong, Jingun Hong, Seongwook Chung, Shin-Dug Kim, Bernd Burgstaller

View

Download (PDF)

Tags: Compression, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 680, OpenCL, Performance

November 23, 2013 by hgpu

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

Akihiko Kasagi, Koji Nakano, and Yasuaki Ito

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 680

November 22, 2013 by hgpu

Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster

Mads R. B. Kristensen, Simon A. F. Lund, Troels Blum, Kenneth Skovhede, Brian Vinter

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7850, Benchmarking, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 680, OpenCL, Python

November 22, 2013 by hgpu

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

William R. French, Amulya K. Pervaje, Andrew P. Santos, Christopher R. Iacovella, Peter T. Cummings

View

Download (PDF)

Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenMPI, Physics, Tesla M2090

November 18, 2013 by hgpu

Real-Time Screen Space Rendering of Cartoon Water

Liordino dos S. Rocha Neto, Filipe Deo Guimaraes, Antonio L. Apolinario Jr., Vinicius M. Mello

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid simulation, Games, GLSL, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

November 14, 2013 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

Waste Not… Efficient Co-Processing of Relational Data

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

HSPA+/LTE-A Turbo Decoder on GPU and Multicore CPU

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

Real-Time Screen Space Rendering of Cartoon Water

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)