high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

A design case study: CPU vs. GPGPU vs. FPGA

Daniel L. Rosenband, Till Rosenband

Tags: Computer science, CUDA, FPGA, nVidia

January 5, 2011 by hgpu

Revisiting sorting for GPGPU stream architectures

Duane G. Merrill, Andrew S. Grimshaw

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia Quadro FX 5600, Sorting

January 5, 2011 by hgpu

A complete modular resultant algorithm targeted for realization on graphics hardware

Pavel Emeliyanenko

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Modular Resultant Algorithm for Graphics Processors

Pavel Emeliyanenko

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

January 5, 2011 by hgpu

Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford

Bryan Catanzaro, Armando Fox, Kurt Keutzer, David Patterson, Bor-Yiing Su, Marc Snir, Kunle Olukotun, Pat Hanrahan, Hassan Chafi

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Tags: Computer science, Programming techniques, Review

January 5, 2011 by hgpu

Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 2011 by hgpu

Practical Random Linear Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao and Mea Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Programming techniques

January 4, 2011 by hgpu

Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Search

January 4, 2011 by hgpu

Efficient Multiplication of Polynomials on Graphics Hardware

Pavel Emeliyanenko

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Tags: Computer science, CUDA, Linear Algebra, nVidia

January 4, 2011 by hgpu

Engineering of Computer Vision Algorithms Using Evolutionary Algorithms

Marc Ebner

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce 9600 GT, OpenGL

January 4, 2011 by hgpu

Real-Time Rendering of Point Based Water Surfaces

Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto, Tomoyuki Nishita

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Tags: Computer science, Fluid simulation, nVidia, nVidia GeForce 6800 GT, Particle simulation, Rendering

January 3, 2011 by hgpu

A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Source codes

Tags: Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Programming techniques

January 3, 2011 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

A design case study: CPU vs. GPGPU vs. FPGA

Revisiting sorting for GPGPU stream architectures

A complete modular resultant algorithm targeted for realization on graphics hardware

Modular Resultant Algorithm for Graphics Processors

Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford

Nuclei: GPU-Accelerated Many-Core Network Coding

Practical Random Linear Network Coding on GPUs

Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem

Efficient Multiplication of Polynomials on Graphics Hardware

Engineering of Computer Vision Algorithms Using Evolutionary Algorithms

Real-Time Rendering of Point Based Water Surfaces

A hardware-aware debugger for the OpenGL shading language

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

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