high performance computing on graphics processing units: hgpu.org

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Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

S. Pratap Vanka, Aaron F. Shinn, Kirti C. Sahu

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Review, Tesla C1060

October 21, 2011 by hgpu

DOPA: GPU-based protein alignment using database and memory access optimizations

Laiq Hasan, Marijn Kentie, Zaid Al-Ars

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Tags: Algorithms, Bioinformatics, Biology, Computational Complexity, CUDA, Databases, nVidia, nVidia GeForce GTX 275, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

October 21, 2011 by hgpu

Efficient Synchronization Primitives for GPUs

Jeff A. Stuart, John D. Owens

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Operating systems

October 21, 2011 by hgpu

GPU Accelerated X-Ray Image Enhancement

Mark James Brotherton

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Tags: Algorithms, DirectX, HLSL, Image processing, OpenMP, Review, Thesis

October 20, 2011 by hgpu

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

Dan Negrut, David Lamb, David Gorsich

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Tags: Algorithms, Collision detection, CUDA, Distributed computing, Heterogeneous systems, nVidia, Physics, Tesla C1060

October 20, 2011 by hgpu

Experimental B+-tree for GPU

Krzysztof Kaczmarski

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 280, Sorting

October 20, 2011 by hgpu

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

P. Hanappe, A. Beurive, F. Laguzet, L. Steels, N. Bellouin, O. Boucher, Y. H. Yamazaki, T. Aina, M. Allen

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Tags: Algorithms, Cell processor, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce GT 330 M, OpenCL, Weather prediction, Weather Prediction Model

October 20, 2011 by hgpu

The GPU Computing Revolution: From Multi-Core CPUs To Many-Core Graphics Processors

Simon McIntosh-Smith

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Review, Tesla C2050

October 19, 2011 by hgpu

Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications

Antonio Wendellde O. Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'h, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

October 18, 2011 by hgpu

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

Radio astronomy beam forming on GPUs

Alessio Sclocco

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Tags: Algorithms, Astrophysics, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 18, 2011 by hgpu

Evaluating the Performance and Portability of OpenCL

Jarno van der Sanden

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL, Performance, Thesis

October 18, 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

Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

DOPA: GPU-based protein alignment using database and memory access optimizations

Efficient Synchronization Primitives for GPUs

GPU Accelerated X-Ray Image Enhancement

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

Experimental B+-tree for GPU

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

The GPU Computing Revolution: From Multi-Core CPUs To Many-Core Graphics Processors

Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications

Characterization of FPGA-based High Performance Computers

Radio astronomy beam forming on GPUs

Evaluating the Performance and Portability of OpenCL

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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