high performance computing on graphics processing units: hgpu.org

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A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

May 30, 2011 by hgpu

High performance comparison-based sorting algorithm on many-core GPUs

Xiaochun Ye, Dongrui Fan, Wei Lin, Nan Yuan, Paolo Ienne

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Performance, Sorting

May 30, 2011 by hgpu

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Michael Knaup, Sven Steckmann, Marc Kachelriess

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, Tomography

May 29, 2011 by hgpu

Performance comparison of GPU and FPGA architectures for the SVM training problem

Markos Papadonikolakis, Christos-Savvas Bouganis, George Constantinides

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Tags: Computer science, CUDA, FPGA, Machine learning, nVidia, nVidia GeForce 8500 GT, Performance

May 29, 2011 by hgpu

GPU-Based Ray Tracing of Splats

Rhushabh Goradia, Sriram Kashyap, Parag Chaudhuri, Sharat Chandran

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Raytracing, Rendering

May 29, 2011 by hgpu

Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)

Holger Scherl, Benjamin Keck, Markus Kowarschik, Joachim Hornegger

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Tags: Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX, Poster

May 28, 2011 by hgpu

A GPU-based vision system for real time detection of fastening elements in railway inspection

P. De Ruvo, A. Distante, E. Stella, F. Marino

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 Ultra, Pattern recognition

May 28, 2011 by hgpu

Coprocessor Computing with FPGA and GPU

Song Jun Park, Dale R. Shires, Brian J. Henz

Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, Security, Sorting

May 28, 2011 by hgpu

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa C. Smith

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Tags: Biology, CUDA, Neural networks, Neuroscience, nVidia, Tesla C870

May 28, 2011 by hgpu

Power performance analysis of 3-D finite element mesh refinement with tetrahedra by CUDA/MPI on multi-core and GPU architecture

Da Qi Ren, D.D. Giannacopoulos, R. Suda

Tags: CUDA, Electrodynamics, FEM, Finite element method, MPI, nVidia

May 28, 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

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high performance computing on graphics processing units: hgpu.org

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

High performance comparison-based sorting algorithm on many-core GPUs

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Performance comparison of GPU and FPGA architectures for the SVM training problem

GPU-Based Ray Tracing of Splats

Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA)

A GPU-based vision system for real time detection of fastening elements in railway inspection

Coprocessor Computing with FPGA and GPU

Acceleration of spiking neural networks in emerging multi-core and GPU architectures

Power performance analysis of 3-D finite element mesh refinement with tetrahedra by CUDA/MPI on multi-core and GPU architecture

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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