high performance computing on graphics processing units: hgpu.org

Programming

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MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

W. Plishker, O. Dandekar, S. S. Bhattacharyya, R. Shekhar

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

December 12, 2010 by hgpu

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Allan Rasmusson, Jesper Mosegaard, Thomas S. Sorensen

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Tags: Biology, CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis

Leo Grady

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Tags: Algorithms, Image processing, Poisson equation

December 12, 2010 by hgpu

Map-reduce as a Programming Model for Custom Computing Machines

Jackson H. C. Yeung, C. C. Tsang, K. H. Tsoi, Bill S. H. Kwan, Chris C. C. Cheung, Anthony P. C. Chan, Philip H. W. Leong

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Tags: Computer science, CUDA, FPGA, MapReduce, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 12, 2010 by hgpu

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Piotr Luszczek, Stanimir Tomov

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Tags: Algorithms, Computer science, Linear Algebra, Mixed precision, Sparse matrix

December 12, 2010 by hgpu

Parallel algorithms for approximation of distance maps on parametric surfaces

Ofir Weber, Yohai S. Devir, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel

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Tags: Algorithms, Cg, Computer science, Numerical Analysis, nVidia, nVidia GeForce 7950 GT

December 12, 2010 by hgpu

Real-time digital holographic microscopy using the graphic processing unit

Tomoyoshi Shimobaba, Yoshikuni Sato, Junya Miura, Mai Takenouchi, Tomoyoshi Ito

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Tags: Computer holography, CUDA, Electron microscopy, FFT, nVidia, nVidia GeForce 8800 GTS, Optics, Physics, Signal processing

December 12, 2010 by hgpu

A compiler framework for optimization of affine loop nests for gpgpus

Muthu M. Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, Optimization

December 12, 2010 by hgpu

Two-electron integral evaluation on the graphics processor unit

Koji Yasuda

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

A Fast Similarity Join Algorithm Using Graphics Processing Units

M. D. Lieberman, J. Sankaranarayanan, H. Samet

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Text mining

December 12, 2010 by hgpu

A map reduce framework for programming graphics processors

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 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

Programming

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

A Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis

Map-reduce as a Programming Model for Custom Computing Machines

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

Parallel algorithms for approximation of distance maps on parametric surfaces

Real-time digital holographic microscopy using the graphic processing unit

A compiler framework for optimization of affine loop nests for gpgpus

Two-electron integral evaluation on the graphics processor unit

A Fast Similarity Join Algorithm Using Graphics Processing Units

A map reduce framework for programming graphics processors

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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