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Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Thomas Steinke, Kathrin Peter, and Sebastian Borchert

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Tags: Cell processor, Computer science, CUDA, Error recovery, FPGA, nVidia, Tesla C1060, Tesla C870

February 19, 2011 by hgpu

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

Dan Campbell, Mark McCans, Mike Davis, Mike Brinkmann

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Tags: Computer science, CUDA, Mixed precision, nVidia, nVidia GeForce 9800 GX2, Signal processing

February 19, 2011 by hgpu

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren, Amy Apon

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Tags: CUDA, GPU cluster, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, OpenMP

February 18, 2011 by hgpu

Tetrahedral Interpolation for Deformable Image Registration on GPUs

Cedomir Segulja, Tianyi David Han, Tarek S. Abdelrahman, Kristy Brock, Joanne Moseley

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 480

February 18, 2011 by hgpu

Optimization of HEP codes on GPUs

M. Al-Turany

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce 8400 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 480, nVidia Quadro NVS 290, Optimization, Physics, Tesla C1060

February 18, 2011 by hgpu

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

Miaoqing Huang, Lingyuan Wang, Tarek El-Ghazawi

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Tags: Computer science, CUDA, Extended precision, FPGA, nVidia, nVidia GeForce GTX 480, OpenMP, Performance, Tesla C1060

February 18, 2011 by hgpu

GPU Acceleration of Near-Minimal Logic Minimization

Ibrahim Savran, Jason D. Bakos

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla S1070

February 18, 2011 by hgpu

Fully accelerating quantum Monte Carlo simulations of real materials on GPU clusters

Kenneth P. Esler, Jeongnim Kim, David M. Ceperley

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Source codes

Tags: CUDA, GPU cluster, Monte Carlo simulation, MPI, nVidia, Package, Physics, QMC, Tesla T10

February 18, 2011 by hgpu

Sparse systems solving on GPUs with GMRES

Raphael Couturier, Stephane Domas

Tags: Computer science, CUBLAS, CUDA, nVidia, Sparse linear iterative solvers, Sparse matrix

February 18, 2011 by hgpu

Accelerating Power Flow studies on Graphics Processing Unit

Jaideep Singh, Ipseeta Aruni

Tags: Computer science, CUDA, nVidia, Performance

February 18, 2011 by hgpu

Evaluating one-sided programming models for GPU cluster computations

Jeff R. Hammond and A. Eugene DePrince III

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Tags: Chemistry, Computer science, CUDA, GPU cluster, Matrix multiplication, nVidia, Tesla T10

February 17, 2011 by hgpu

GPU Accelerated Particle System for Triangulated Surface Meshes

Brad Peterson, Manasi Datar, Mary Hall, Ross Whitaker

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Particle simulation, Triangular meshes

February 17, 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

Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Using GPU VSIPL & CUDA to Accelerate RF Clutter Simulation

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Tetrahedral Interpolation for Deformable Image Registration on GPUs

Optimization of HEP codes on GPUs

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

GPU Acceleration of Near-Minimal Logic Minimization

Fully accelerating quantum Monte Carlo simulations of real materials on GPU clusters

Sparse systems solving on GPUs with GMRES

Accelerating Power Flow studies on Graphics Processing Unit

Evaluating one-sided programming models for GPU cluster computations

GPU Accelerated Particle System for Triangulated Surface Meshes

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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