high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Accelerating Geospatial Analysis on GPUs using CUDA

Ying-jie Xia, Li Kuang, Xiu-mei Li

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia Quadro FX 5600

September 30, 2011 by hgpu

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Holger Pirk, Stefan Manegold, Martin Kersten

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5850, Computer science, Databases, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2011 by hgpu

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Ozisikyilmaz, Sanchit Misra, Gokhan Memik

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, FPGA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT

September 30, 2011 by hgpu

A Polyphase Filter For GPUs And Multi-Core Processors

Karel van der Veldt

View

Download (PDF)

Tags: Astrophysics, ATI, ATI Radeon HD 5870, FFT, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing, Thesis

September 30, 2011 by hgpu

Adding special-purpose processor support to the Erlang VM

Christofer Ferm

View

Download (PDF)

Tags: Computer science, DSP, nVidia, nVidia GeForce 9400 M, OpenCL, Performance, Thesis, Virtualization

September 30, 2011 by hgpu

Many-threaded implementation of differential evolution for the CUDA platform

Pavel Kromer, Vaclav Snasel, Jan Platos, Ajith Abraham

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Differential evolution, Genetic programming, nVidia, Optimization, Tesla C2050

September 29, 2011 by hgpu

Active thread compaction for GPU path tracing

Ingo Wald

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Presentation, Raytracing

September 29, 2011 by hgpu

Evolving CUDA PTX programs by quantum inspired linear genetic programming

Leandro F. Cupertino, Cleomar P. Silva, Douglas M. Dias, Marco Aurelio C. Pacheco, Cristiana Bentes

View

Download (PDF)

Tags: Computer science, CUDA, Databases, Genetic programming, nVidia, Performance, PTX, Tesla C1060

September 29, 2011 by hgpu

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

L. Lin, Chung-Sang Ng, A. Bhattacharjee

View

Download (PDF)

Tags: Astrophysics, Computational Physics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, Plasma physics, Solar and Stellar Astrophysics, Spectral methods, Tesla C2050

September 29, 2011 by hgpu

Possible planet-forming regions on submillimetre images

Zsolt Regaly, A. Juhasz, Zs. Sandor, C. P. Dullemond

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Package, Solar and Stellar Astrophysics

September 29, 2011 by hgpu

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 4850, Benchmarking, Computer science, OpenCL, Optimization, Software Engineering

September 28, 2011 by hgpu

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Constantin Timm, Frank Weichert, Peter Marwedel, Heinrich Muller

View

Download (PDF)

Tags: Computer science, Design space exploration, Energy-efficient computing, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, nVidia ION, OpenCL, Sensing

September 28, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Geospatial Analysis on GPUs using CUDA

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Accelerating data mining workloads: current approaches and future challenges in system architecture design

A Polyphase Filter For GPUs And Multi-Core Processors

Adding special-purpose processor support to the Erlang VM

Many-threaded implementation of differential evolution for the CUDA platform

Active thread compaction for GPU path tracing

Evolving CUDA PTX programs by quantum inspired linear genetic programming

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

Possible planet-forming regions on submillimetre images

Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)