high performance computing on graphics processing units: hgpu.org

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High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

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Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

Algorithms for manipulating large geometric data

Jiri Skala

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Tags: 3D Graphics and Realism, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Thesis

December 29, 2013 by hgpu

Real-time rendering of large surface-scanned range data natively on a GPU

Sajid Farooq

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Tags: ATI, ATI Radeon HD 4870 X2, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Thesis

November 19, 2013 by hgpu

Scalable Fast Multipole Methods on Heterogeneous Architecture

Q. Hu

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Tesla C1060, Tesla C2050, Thesis

October 9, 2013 by hgpu

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

Debasis Pattanaik, Ajaya Kumar Malik, Pradeep Kumar Mallick

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Tags: Clustering, Computer science, CUDA, Databases, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX

July 22, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 by hgpu

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Zeinab Farhoudi, Ali Broumandnia, Elham Askary, Sara Motamed

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

July 8, 2013 by hgpu

Perturbation Functions in Computer Graphics

Sergey I. Vyatkin, Boris S. Dolgovesov, Mikhail A. Gorodilov

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Tags: Algorithms, Computer science, CUDA, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

May 15, 2013 by hgpu

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

S.A. Arul Shalom, Manoranjan Dash

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Tags: Algorithms, Clustering, CUDA, nVidia, nVidia GeForce 8800 GTX

April 15, 2013 by hgpu

High performance bioinformatics and computational biology on general-purpose graphics processing units

Cheng Ling

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Tags: Bioinformatics, Biology, Computational biology, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 460, Sequence alignment, Thesis

January 3, 2013 by hgpu

Characterization and Performance Analysis for 3D Benchmarks

Joseph Issa

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Tags: Analytical model, ATI, ATI Radeon HD 3470, Benchmarking, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 GT, nVidia GeForce 9500 GT, Performance

November 25, 2012 by hgpu

Mean shift for graph bundling

Ozan Ersoy, Christophe Hurter, Alexandru Telea

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Tags: Computer science, Graph theory, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenGL

October 13, 2012 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

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high performance computing on graphics processing units: hgpu.org

High-performance and Embedded Systems for Cryptography

Algorithms for manipulating large geometric data

Real-time rendering of large surface-scanned range data natively on a GPU

Scalable Fast Multipole Methods on Heterogeneous Architecture

Multi-core CUDA Architecture for Parallelization of Hierarchical Text Clustering

Automatic Generation of FFT Libraries for GPU Platforms

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Perturbation Functions in Computer Graphics

Efficient Partitioning Based Hierarchical Agglomerative Clustering Using Graphics Accelerators with CUDA

High performance bioinformatics and computational biology on general-purpose graphics processing units

Characterization and Performance Analysis for 3D Benchmarks

Mean shift for graph bundling

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)