high performance computing on graphics processing units: hgpu.org

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Low-Latency Elliptic Curve Scalar Multiplication

Joppe W. Bos

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 465, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Security

August 27, 2012 by hgpu

Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis

Sergio Bernabe, Sebastian Lopez, Antonio Plaza, Roberto Sarmiento

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Tesla C1060

August 20, 2012 by hgpu

Light Propagation Maps on Parallel Graphics Architectures

A. Gruson, A. Hakke Patil, R. Cozot, K. Bouatouch, S. Pattanaik

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 580

August 20, 2012 by hgpu

GPU-Based Computation of Discrete Periodic Centroidal Voronoi Tessellation in Hyperbolic Space

Liang Shuai, Xiaohu Guo, Miao Jin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Tessellation, Voronoi diagram

August 18, 2012 by hgpu

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

Satoshi Tanaka, Tung Chou, Bo-Yin Yang, Chen-Mou Cheng, Kouichi Sakurai

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers

August 16, 2012 by hgpu

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Yukihiro Komura, Yutaka Okabe

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2050

August 13, 2012 by hgpu

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Sergio Sanchez, Rui Ramalho, Leonel Sousa, Antonio Plaza

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Sensing

August 11, 2012 by hgpu

Kargus: a Highly-scalable Software-based Intrusion Detection System

Muhammad Jamshed, Jihyung Lee, Sangwoo Moon, Insu Yun, Deokjin Kim, Sungryoul Lee, Yung Yi, KyoungSoo Park

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Security

August 9, 2012 by hgpu

C to Cellular Automata and Execution on CPU, GPU and FPGA

Jens Drieseberg, Christian Siemers

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Tags: Cellular automata, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, OpenMP

August 2, 2012 by hgpu

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang, Joel H. Saltz

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Tags: CUDA, Databases, Image processing, nVidia, nVidia GeForce GTX 580, Tesla M2050

August 2, 2012 by hgpu

Distributed-Shared CUDA: Virtualization of Large-Scale GPU Systems for Programmability and Reliability

Atsushi Kawai, Kenji Yasuoka, Kazuyuki Yoshikawa, Tetsu Narumi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Tesla M2050, Virtualization

July 29, 2012 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

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high performance computing on graphics processing units: hgpu.org

Low-Latency Elliptic Curve Scalar Multiplication

Scalable Clustering for Vision using GPUs

GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis

Light Propagation Maps on Parallel Graphics Architectures

GPU-Based Computation of Discrete Periodic Centroidal Voronoi Tessellation in Hyperbolic Space

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Kargus: a Highly-scalable Software-based Intrusion Detection System

C to Cellular Automata and Execution on CPU, GPU and FPGA

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Distributed-Shared CUDA: Virtualization of Large-Scale GPU Systems for Programmability and Reliability

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)