high performance computing on graphics processing units: hgpu.org

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Acceleration of calculation of Third Party Risk around an airport using OpenCL

Ronald Erkamp

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Tags: Computer science, nVidia, OpenCL, Tesla C2075, Tesla K20, Thesis

June 13, 2013 by hgpu

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Lubomir Klimes, Josef Stetina

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Tags: Computer science, CUDA, Materials Science, nVidia, Solidification, Tesla C2075

June 7, 2013 by hgpu

Accelerating Fast Fourier Transform for Wideband Channelization

Carlo del Mundo, Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Computer science, FFT, FPGA, nVidia, OpenCL, Signal processing, Tesla C2075

June 6, 2013 by hgpu

Scaling Radio Astronomy Signal Correlation on Heterogeneous Supercomputers Using Various Data Distribution Methodologies

Ruonan Wang, Christopher Harris

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Tags: Astrophysics, GPU cluster, Heterogeneous systems, Instrumentation and Methods for Astrophysics, nVidia, OpenCL, Signal processing, Tesla C2075

May 27, 2013 by hgpu

Fractal Video Compression in OpenCL: An Evaluation of CPUs, GPUs, and FPGAs as Acceleration Platforms

Doris Chen, Deshanand Singh

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Tags: Algorithms, Compression, FPGA, Image processing, nVidia, OpenCL, Tesla C2075, Video encoding

May 15, 2013 by hgpu

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, Q. Li, N. Okamura, T. Stelzer

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Tags: Computational Physics, CUDA, Fortran, Monte Carlo integration, nVidia, Physics, Pseudo-random number generators, QCD, Tesla C2075

May 6, 2013 by hgpu

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

Hiroyuki Goto, Kazuhiro Toyoda

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla C2075

April 27, 2013 by hgpu

High-dimensional wave atoms and compression of seismic datasets

Matti Leinonen,Russell J. Hewett, Xiangxiong Zhang, Lexing Ying, Laurent Demanet

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Tags: Compression, CUDA, nVidia, Seismology, Tesla C2075

April 16, 2013 by hgpu

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, Jurgen Van Erps, Nathalie Vermeulen, David A. B. Miller, Hugo Thienpont

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Source codes

Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Package, Tesla C2075

April 13, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

GPU Accelerated Automated Feature Extraction from Satellite Images

K. Phani Tejaswi, D. Shanmukha Rao, Thara Nair, A. V. V. Prasad

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2075, Visualization

April 3, 2013 by hgpu

Multi-GPU Computing for Achieving Speedup in Real-time Aggregate Risk Analysis

A. K. Bahl, O. Baltzer, A. Rau-Chaplin, B. Varghese, A. Whiteway

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Tags: Algorithms, CUDA, Finance, nVidia, Stochastic simulation, Tesla C2075, Tesla M2090

February 23, 2013 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

Acceleration of calculation of Third Party Risk around an airport using OpenCL

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Accelerating Fast Fourier Transform for Wideband Channelization

Scaling Radio Astronomy Signal Correlation on Heterogeneous Supercomputers Using Various Data Distribution Methodologies

Fractal Video Compression in OpenCL: An Evaluation of CPUs, GPUs, and FPGAs as Acceleration Platforms

Fast computation of MadGraph amplitudes on graphics processing unit (GPU)

Efficient Computation of the Kleene Star in Max-Plus Algebra using a CUDA GPU

High-dimensional wave atoms and compression of seismic datasets

B-Calm: an Open-Source Multi-Gpu-Based 3D-FDTD with Multi-Pole Dispersion for Plasmonics

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

GPU Accelerated Automated Feature Extraction from Satellite Images

Multi-GPU Computing for Achieving Speedup in Real-time Aggregate Risk Analysis

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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